gistfile1.txt

@article{abdaiAnimacyPerceptionDogs2020,
  title = {Animacy {{Perception}} in {{Dogs}} ({{Canis}} Familiaris) and {{Humans}} ({{Homo}} Sapiens): {{Comparison May Be Perturbed}} by {{Inherent Differences}} in {{Looking Patterns}}},
  author = {Abdai, Judit and Ferdinandy, Bence and Lengyel, Attila and Miklósi, Ádám},
  date = {2020},
  journaltitle = {Journal of Comparative Psychology},
  publisher = {{American Psychological Association Inc.}},
  issn = {07357036},
  doi = {10.1037/com0000250},
  abstract = {Perceptual animacy is the tendency for observers to represent inanimate objects as animate, based on simple motion cues. Several features of the chasing pattern can elicit animacy perception and, similarly to adult humans, dogs perceive dots showing this pattern as animate. Here, we used moving objects with a heading alignment (isosceles triangles) to investigate whether human and dog behavior continues to show similarities following such slight but important change in the pattern. We hypothesized that a heading alignment would facilitate animacy perception in both species in a similar manner. We displayed chasing and nonchasing (independent) motions side-by-side on a screen in two subsequent trials (Trial 1 and 2). Looking duration at each pattern as well as frequency of gaze shifting between the patterns was measured. Humans looked at the independent motion for longer already during Trial 1; however, dogs looked at this pattern longer only during Trial 2, whereas during Trial 1, their looking time increased toward the chasing pattern. Gaze shifting was observed in humans more often in both trials than in dogs. Although ultimate preference for the independent motion suggests rapid perception of the chasing pattern directing gaze in both species toward the "unrecognized" pattern, there was an initial interspecies difference. We suggest that different behavior across humans and dogs could be explained by ecological differences, although the role of differences in visual strategies, irrespective of perception of animacy, cannot be excluded.},
  keywords = {Animacy perception,Chasing,Comparative perception,Social perception,Vision}
}

@article{abdaiAnimacyPerceptionDogs2021,
  title = {Animacy Perception in Dogs ({{Canis}} Familiaris) and Humans ({{Homo}} Sapiens): {{Comparison}} May Be Perturbed by Inherent Differences in Looking Patterns.},
  author = {Abdai, Judit and Ferdinandy, Bence and Lengyel, Attila and Miklósi, Ádám},
  date = {2021-02},
  journaltitle = {Journal of Comparative Psychology},
  volume = {135},
  number = {1},
  pages = {82--88},
  publisher = {{American Psychological Association}},
  doi = {10.1037/COM0000250},
  abstract = {Perceptual animacy is the tendency for observers to represent inanimate objects as animate, based on simple motion cues. Several features of the chasing pattern can elicit animacy perception and, similarly to adult humans, dogs perceive dots showing this pattern as animate. Here, we used moving objects with a heading alignment (isosceles triangles) to investigate whether human and dog behavior continues to show similarities following such slight but important change in the pattern. We hypothesized that a heading alignment would facilitate animacy perception in both species in a similar manner. We displayed chasing and nonchasing (independent) motions side-by-side on a screen in two subsequent trials (Trial 1 and 2). Looking duration at each pattern as well as frequency of gaze shifting between the patterns was measured. Humans looked at the independent motion for longer already during Trial 1; however, dogs looked at this pattern longer only during Trial 2, whereas during Trial 1, their looking time increased toward the chasing pattern. Gaze shifting was observed in humans more often in both trials than in dogs. Although ultimate preference for the independent motion suggests rapid perception of the chasing pattern directing gaze in both species toward the “unrecognized” pattern, there was an initial interspecies difference. We suggest that different behavior across humans and dogs could be explained by ecological differences, although the role of differences in visual strategies, irrespective of perception of animacy, cannot be excluded. (PsycInfo Database Record (c) 2021 APA, all rights reserved)},
  keywords = {animacy perception,chasing,comparative perception,social perception,vision}
}

@article{abdaiMethodologicalChallengesUse2018,
  title = {Methodological Challenges of the Use of Robots in Ethological Research},
  author = {Abdai, J and Korcsok, B and Korondi, P and Miklósi, A},
  date = {2018},
  journaltitle = {Animal Behavior and Cognition},
  volume = {2018},
  number = {4},
  pages = {326--340},
  doi = {10.26451/abc.05.04.02.2018},
  url = {https://doi.org/10.26451/abc.05.04.02.2018},
  abstract = {Artificial models have been used as interactive partners for decades to study the social behavior of animals. Recent technological developments have opened up novel possibilities by allowing researchers to use remote controlled and autonomous objects in these studies, and Animal-Robot Interaction has become an emerging field of behavior science. However, there are theoretical, methodological and practical issues in ethological research using robotic agents. Here we aimed to provide an overview on robots by classifying them along different aspects to facilitate future research, and to present some novel approaches that could be considered as a guide for researchers who are new to the fields of animal-robot interactions (ARI) and human-robot interactions (HRI). The present review may facilitate future collaboration between biologists/psychologists, robot developers, engineers and programmers that further contributes to the development of novel research methods and procedures.},
  keywords = {Animal-robot interaction,Animat,Ethorobotics,Human-robot interaction,Methodology,Social robotics},
  file = {/home/fbence/Zotero/storage/45MWNJ2A/Abdai et al. - 2018 - Methodological challenges of the use of robots in ethological research.pdf}
}

@unpublished{abdaiPerceptionAnimacyDogs,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, Judit and {Ferdinandy Bence} and Baño Terencio, Cristina and Pogány, Ákos and Miklósi, Ádám},
  keywords = {ownpub}
}

@article{abdaiPerceptionAnimacyDogs2017,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, Judit and Ferdinandy, Bence and Terencio, Cristina Baño and Pogány, Ákos and Miklósi, Ádám},
  date = {2017-06},
  journaltitle = {Biology Letters},
  volume = {13},
  number = {6},
  publisher = {{The Royal Society}},
  doi = {10.1098/RSBL.2017.0156},
  url = {https://royalsocietypublishing.org/doi/abs/10.1098/rsbl.2017.0156},
  abstract = {Humans have a tendency to perceive inanimate objects as animate based on simple motion cues. Although animacy is considered as a complex cognitive property, this recognition seems to be spontaneous...},
  keywords = {chasing,comparative perception,perceptual animacy,social perception},
  file = {/home/fbence/Zotero/storage/4I8GGJRY/Abdai et al. - 2017 - Perception of animacy in dogs and humans(2).pdf}
}

@article{abdaiPerceptionAnimacyDogs2017a,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, Judit and Ferdinandy, Bence and Terencio, Cristina Baño and Pogány, Ákos and Miklósi, Ádám},
  date = {2017-06},
  journaltitle = {Biology Letters},
  volume = {13},
  number = {6},
  pages = {20170156},
  publisher = {{The Royal Society}},
  issn = {1744-9561},
  doi = {10.1098/rsbl.2017.0156},
  url = {https://royalsocietypublishing.org/doi/10.1098/rsbl.2017.0156},
  abstract = {\textbackslash textlessp\textbackslash textgreaterHumans have a tendency to perceive inanimate objects as animate based on simple motion cues. Although animacy is considered as a complex cognitive property, this recognition seems to be spontaneous. Researchers have found that young human infants discriminate between dependent and independent movement patterns. However, quick visual perception of animate entities may be crucial to non-human species as well. Based on general mammalian homology, dogs may possess similar skills to humans. Here, we investigated whether dogs and humans discriminate similarly between dependent and independent motion patterns performed by geometric shapes. We projected a side-by-side video display of the two patterns and measured looking times towards each side, in two trials. We found that in Trial 1, both dogs and humans were equally interested in the two patterns, but in Trial 2 of both species, looking times towards the dependent pattern decreased, whereas they increased towards the independent pattern. We argue that dogs and humans spontaneously recognized the specific pattern and habituated to it rapidly, but continued to show interest in the ‘puzzling' pattern. This suggests that both species tend to recognize inanimate agents as animate relying solely on their motions.\textbackslash textless/p\textbackslash textgreater},
  keywords = {chasing,comparative perception,perceptual animacy,social perception},
  file = {/home/fbence/Zotero/storage/4RCUB3J2/Abdai et al. - 2017 - Perception of animacy in dogs and humans.pdf}
}

@article{abdaiPerceptionAnimacyDogs2017b,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, Judit and Ferdinandy, Bence and Terencio, Cristina Baño and Pogány, Ákos and Miklósi, Ádám},
  date = {2017-06},
  journaltitle = {Biology letters},
  volume = {13},
  number = {6},
  issn = {1744957X},
  doi = {10.1098/rsbl.2017.0156},
  abstract = {Humans have a tendency to perceive inanimate objects as animate based on simple motion cues. Although animacy is considered as a complex cognitive property, this recognition seems to be spontaneous. Researchers have found that young human infants discriminate between dependent and independent movement patterns. However, quick visual perception of animate entities may be crucial to non-human species as well. Based on general mammalian homology, dogs may possess similar skills to humans. Here, we investigated whether dogs and humans discriminate similarly between dependent and independent motion patterns performed by geometric shapes. We projected a side-by-side video display of the two patterns and measured looking times towards each side, in two trials. We found that in Trial 1, both dogs and humans were equally interested in the two patterns, but in Trial 2 of both species, looking times towards the dependent pattern decreased, whereas they increased towards the independent pattern. We argue that dogs and humans spontaneously recognized the specific pattern and habituated to it rapidly, but continued to show interest in the 'puzzling' pattern. This suggests that both species tend to recognize inanimate agents as animate relying solely on their motions.},
  keywords = {chasing,comparative perception,perceptual animacy,social perception}
}

@article{abdaiPerceptionAnimacyDogs2017c,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, J. and Ferdinandy, B. and Terencio, C.B. and Pogány, Á. and Miklósi, Á.},
  date = {2017},
  journaltitle = {Biology letters},
  volume = {13},
  number = {6},
  issn = {1744957X},
  doi = {10.1098/rsbl.2017.0156},
  abstract = {© 2017 The Author(s). Humans have a tendency to perceive inanimate objects as animate based on simple motion cues. Although animacy is considered as a complex cognitive property, this recognition seems to be spontaneous. Researchers have found that young human infants discriminate between dependent and independent movement patterns. However, quick visual perception of animate entities may be crucial to non-human species as well. Based on general mammalian homology, dogs may possess similar skills to humans. Here, we investigated whether dogs and humans discriminate similarly between dependent and independent motion patterns performed by geometric shapes. We projected a side-by-side video display of the two patterns and measured looking times towards each side, in two trials. We found that in Trial 1, both dogs and humans were equally interested in the two patterns, but in Trial 2 of both species, looking times towards the dependent pattern decreased, whereas they increased towards the independent pattern. We argue that dogs and humans spontaneously recognized the specific pattern and habituated to it rapidly, but continued to show interest in the 'puzzling' pattern. This suggests that both species tend to recognize inanimate agents as animate relying solely on their motions.},
  keywords = {chasing,comparative perception,perceptual animacy,social perception}
}

@article{abdaiPerceptionAnimacyDogs2017d,
  title = {Perception of Animacy in Dogs and Humans},
  author = {Abdai, Judit and Ferdinandy, Bence and Terencio, Cristina Baño and Pogány, Ákos and Miklósi, Ádám},
  date = {2017},
  journaltitle = {Biology Letters},
  volume = {13},
  number = {6},
  url = {http://rsbl.royalsocietypublishing.org/content/13/6/20170156}
}

@article{abecasisHIV1SubtypeDistribution2013,
  title = {{{HIV-1}} Subtype Distribution and Its Demographic Determinants in Newly Diagnosed Patients in {{Europe}} Suggest Highly Compartmentalized Epidemics},
  author = {Abecasis, Ana B and Wensing, Annemarie M J and Paraskevis, Dimitris and Vercauteren, Jurgen and Theys, Kristof and de Vijver, David A M C and Albert, Jan and Asjö, Birgitta and Balotta, Claudia and Beshkov, Danail and {Others}},
  options = {useprefix=true},
  date = {2013},
  journaltitle = {Retrovirology},
  volume = {10},
  number = {1},
  pages = {1},
  publisher = {{BioMed Central}}
}

@unpublished{abramNovelMachineLearning,
  title = {Novel Machine Learning Algorithms in Automated Behaviour Analysis},
  author = {Ábrám, Dániel and Daróczy, Bálint and Ferdinandy, Bence and Gerencsér, Linda and Csizmadia, Gábor and Benczúr, András and Miklósi, Ádám},
  keywords = {ownpub}
}

@article{ahmadSystematicReviewAdaptivity2017,
  title = {A {{Systematic Review}} of {{Adaptivity}} in {{Human-Robot Interaction}}},
  author = {Ahmad, Muneeb and Mubin, Omar and Orlando, Joanne},
  date = {2017-07},
  journaltitle = {Multimodal Technologies and Interaction},
  volume = {1},
  number = {3},
  pages = {14},
  publisher = {{MDPI AG}},
  issn = {2414-4088},
  doi = {10.3390/mti1030014},
  url = {http://www.mdpi.com/2414-4088/1/3/14},
  abstract = {As the field of social robotics is growing, a consensus has been made on the design and implementation of robotic systems that are capable of adapting based on the user actions. These actions may be based on their emotions, personality or memory of past interactions. Therefore, we believe it is significant to report a review of the past research on the use of adaptive robots that have been utilised in various social environments. In this paper, we present a systematic review on the reported adaptive interactions across a number of domain areas during Human-Robot Interaction and also give future directions that can guide the design of future adaptive social robots. We conjecture that this will help towards achieving long-term applicability of robots in various social domains.},
  keywords = {adaptive interactions,adaptive social robots,human robot interactions,social robotics},
  file = {/home/fbence/Zotero/storage/BC49LK9T/Ahmad, Mubin, Orlando - 2017 - A Systematic Review of Adaptivity in Human-Robot Interaction.pdf}
}

@article{albertStatisticalMechanicsComplex2002,
  title = {Statistical Mechanics of Complex Networks},
  author = {Albert, Réka and Barabási, Albert-László},
  date = {2002},
  journaltitle = {Reviews of modern physics},
  volume = {74},
  number = {1},
  pages = {47},
  publisher = {{APS}}
}

@article{allenDevelopmentAutomatedMethod2016,
  title = {Development of an Automated Method of Detecting Stereotyped Feeding Events in Multisensor Data from Tagged Rorqual Whales},
  author = {Allen, Ann N. and Goldbogen, Jeremy A. and Friedlaender, Ari S. and Calambokidis, John},
  date = {2016},
  journaltitle = {Ecology and Evolution},
  volume = {6},
  number = {20},
  pages = {7522--7535},
  issn = {20457758},
  doi = {10.1002/ece3.2386},
  abstract = {The introduction of animal-borne, multisensor tags has opened up many opportunities for ecological research, making previously inaccessible species and behaviors observable. The advancement of tag technology and the increasingly widespread use of bio-logging tags are leading to large volumes of sometimes extremely detailed data. With the increasing quantity and duration of tag deployments, a set of tools needs to be developed to aid in facilitating and standardizing the analysis of movement sensor data. Here, we developed an observation-based decision tree method to detect feeding events in data from multisensor movement tags attached to fin whales (Balaenoptera physalus). Fin whales exhibit an energetically costly and kinematically complex foraging behavior called lunge feeding, an intermittent ram filtration mechanism. Using this automated system, we identified feeding lunges in 19 fin whales tagged with multisensor tags, during a total of over 100 h of continuously sampled data. Using movement sensor and hydrophone data, the automated lunge detector correctly identified an average of 92.8\% of all lunges, with a false-positive rate of 9.5\%. The strong performance of our automated feeding detector demonstrates an effective, straightforward method of activity identification in animal-borne movement tag data. Our method employs a detection algorithm that utilizes a hierarchy of simple thresholds based on knowledge of observed features of feeding behavior, a technique that is readily modifiable to fit a variety of species and behaviors. Using automated methods to detect behavioral events in tag records will significantly decrease data analysis time and aid in standardizing analysis methods, crucial objectives with the rapidly increasing quantity and variety of on-animal tag data. Furthermore, our results have implications for next-generation tag design, especially long-term tags that can be outfitted with on-board processing algorithms that automatically detect kinematic events and transmit ethograms via acoustic or satellite telemetry.},
  keywords = {Accelerometer,archival tag,automated signal recognition,Balaenoptera physalus,bio-logging tag,fin whale,foraging ecology,kinematics,lunge-feeding,remote observation},
  file = {/home/fbence/Zotero/storage/JJWQSFNS/Allen et al. - 2016 - Development of an automated method of detecting stereotyped feeding events in multisensor data from tagged rorqual.pdf}
}

@article{alvarez-aparicioBenchmarkDatasetEvaluation2018,
  title = {Benchmark {{Dataset}} for Evaluation of {{Range-Based}} People Tracker {{Classifiers}} in {{Mobile Robots}}},
  author = {Álvarez-Aparicio, Claudia and Guerrero-Higueras, Ángel Manuel and Olivera, Maria Carmen Calvo and Rodr\$\textbackslash backslash\$'\$\textbackslash backslash\$iguez-Lera, Francisco J and Mart\$\textbackslash backslash\$'\$\textbackslash backslash\$in, Francisco and Matellán, Vicente},
  date = {2018},
  journaltitle = {Frontiers in neurorobotics},
  volume = {11},
  pages = {72},
  publisher = {{Frontiers}}
}

@article{andersonThirdpartySocialEvaluation2013,
  title = {Third-Party Social Evaluation of Humans by Monkeys},
  author = {Anderson, James R. and Kuroshima, Hika and Takimoto, Ayaka and Fujita, Kazuo},
  date = {2013},
  journaltitle = {Nature Communications},
  volume = {4},
  issn = {20411723},
  doi = {10.1038/ncomms2495},
  abstract = {Humans routinely socially evaluate others not only following direct interactions with them but also based on others' interactions with third parties. In other species, 'eavesdropping' on third-party interactions is often used to gain information about foraging or mating opportunities, or others individuals' aggressiveness or fighting ability. However, image scoring for potential cooperativeness is less well studied. Here we ask whether a non-human primate species, tufted capuchin monkeys (Cebus apella), socially evaluates humans after witnessing third-party interactions involving a helpful intervention or failure to help. We find that the monkeys accept food less frequently from those who persistently reject another's requests for help. This negative social evaluation effect is robust across conditions, and tightly linked to explicit refusal to help. Evaluation of potential helpfulness based on third-party interactions may thus not be unique to humans. © 2013 Macmillan Publishers Limited. All rights reserved.}
}

@article{andrieuInformedHorsesAre2016,
  title = {Informed Horses Are Influential in Group Movements, but They May Avoid Leading},
  author = {Andrieu, Julie and Henry, Séverine and Hausberger, Martine and Thierry, Bernard},
  date = {2016},
  journaltitle = {Animal cognition},
  volume = {19},
  number = {3},
  pages = {451--458},
  publisher = {{Springer}}
}

@article{anguloFundamentalLimitationsNetwork2017,
  title = {Fundamental Limitations of Network Reconstruction from Temporal Data},
  author = {Angulo, Marco Tulio and Moreno, Jaime A. and Lippner, Gabor and Barabási, Albert-László and Liu, Yang-Yu},
  date = {2017-02},
  journaltitle = {Journal of The Royal Society Interface},
  volume = {14},
  number = {127},
  pages = {20160966},
  issn = {1742-5689},
  doi = {10.1098/rsif.2016.0966},
  url = {http://rsif.royalsocietypublishing.org/lookup/doi/10.1098/rsif.2016.0966}
}

@article{antonovComputationalScienceHPC2018,
  title = {Computational Science and {{HPC}} Education for Graduate Students: {{Paving}} the Way to Exascale},
  author = {Antonov, A. and Popova, N. and Voevodin, Vl},
  date = {2018-08},
  journaltitle = {Journal of Parallel and Distributed Computing},
  volume = {118},
  pages = {157--165},
  publisher = {{Academic Press Inc.}},
  issn = {07437315},
  doi = {10.1016/j.jpdc.2018.02.023},
  abstract = {The article discusses the experience of teaching supercomputer disciplines to students specializing in Computational Mathematics. Graduates specializing in this field become future developers and users of complex supercomputing applications and systems. The article presents the structure of a training program that has been implemented at the Faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University. It focuses on the content of disciplines related to parallel computing with a detailed description of the structure and content of the course “Supercomputing Simulation and Technologies” which is offered as part of the Master's degree training program at the Faculty. The content of practical assignments supporting this discipline is discussed in detail, along with the results produced by the students who performed these practical assignments on Lomonosov and IBM Blue Gene/P supercomputers. The main contribution of the paper is twofold: we draw attention to the importance of study of a wide set of parallel algorithms properties and provide a practical methodology to reach this goal.},
  keywords = {Computational mathematics,HPC education,Parallel computing,Supercomputer,Supercomputing simulation}
}

@article{baetenHIV1SubtypeInfection2007,
  title = {{{HIV-1}} Subtype {{D}} Infection Is Associated with Faster Disease Progression than Subtype {{A}} in Spite of Similar Plasma {{HIV-1}} Loads},
  author = {Baeten, Jared M and Chohan, Bhavna and Lavreys, Ludo and Chohan, Vrasha and McClelland, R Scott and Certain, Laura and Mandaliya, Kishorchandra and Jaoko, Walter and Julie, Overbaugh},
  date = {2007},
  journaltitle = {Journal of Infectious Diseases},
  volume = {195},
  number = {8},
  pages = {1177--1180},
  publisher = {{Oxford University Press}}
}

@article{baninoVectorbasedNavigationUsing2018,
  title = {Vector-Based Navigation Using Grid-like Representations in Artificial Agents},
  author = {Banino, Andrea and Barry, Caswell and Uria, Benigno and Blundell, Charles and Lillicrap, Timothy and Mirowski, Piotr and Pritzel, Alexander and Chadwick, Martin J. and Degris, Thomas and Modayil, Joseph and Wayne, Greg and Soyer, Hubert and Viola, Fabio and Zhang, Brian and Goroshin, Ross and Rabinowitz, Neil and Pascanu, Razvan and Beattie, Charlie and Petersen, Stig and Sadik, Amir and Gaffney, Stephen and King, Helen and Kavukcuoglu, Koray and Hassabis, Demis and Hadsell, Raia and Kumaran, Dharshan},
  date = {2018-05},
  journaltitle = {Nature},
  pages = {1},
  publisher = {{Nature Publishing Group}},
  issn = {0028-0836},
  doi = {10.1038/s41586-018-0102-6},
  url = {http://www.nature.com/articles/s41586-018-0102-6},
  abstract = {Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go1,2. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinforcement learning3–5 failing to rival the proficiency of mammalian spatial behaviour, which is underpinned by grid cells in the entorhinal cortex 6 . Grid cells are thought to provide a multi-scale periodic representation that functions as a metric for coding space7,8 and is critical for integrating self-motion (path integration)6,7,9 and planning direct trajectories to goals (vector-based navigation)7,10,11. Here we set out to leverage the computational functions of grid cells to develop a deep reinforcement learning agent with mammal-like navigational abilities. We first trained a recurrent network to perform path integration, leading to the emergence of representations resembling grid cells, as well as other entorhinal cell types 12 . We then showed that this representation provided an effective basis for an agent to locate goals in challenging, unfamiliar, and changeable environments—optimizing the primary objective of navigation through deep reinforcement learning. The performance of agents endowed with grid-like representations surpassed that of an expert human and comparison agents, with the metric quantities necessary for vector-based navigation derived from grid-like units within the network. Furthermore, grid-like representations enabled agents to conduct shortcut behaviours reminiscent of those performed by mammals. Our findings show that emergent grid-like representations furnish agents with a Euclidean spatial metric and associated vector operations, providing a foundation for proficient navigation. As such, our results support neuroscientific theories that see grid cells as critical for vector-based navigation7,10,11, demonstrating that the latter can be combined with path-based strategies to support navigation in challenging environments.},
  keywords = {Computer science,Learning algorithms}
}

@book{barabasiNetworkScience2016,
  title = {Network Science},
  author = {Barabási, Albert-László},
  date = {2016},
  publisher = {{Cambridge university press}}
}

@article{barbutiLocalizingTortoiseNests2016,
  title = {Localizing Tortoise Nests by Neural Networks},
  author = {Barbuti, Roberto and Chessa, Stefano and Micheli, Alessio and Pucci, Rita},
  date = {2016},
  journaltitle = {PLoS ONE},
  volume = {11},
  number = {3},
  pages = {1--27},
  issn = {19326203},
  doi = {10.1371/journal.pone.0151168},
  abstract = {© 2016 Barbuti et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The goal of this research is to recognize the nest digging activity of tortoises using a device mounted atop the tortoise carapace. The device classifies tortoise movements in order to discriminate between nest digging, and non-digging activity (specifically walking and eating). Accelerometer data was collected from devices attached to the carapace of a number of tortoises during their two-month nesting period. Our system uses an accelerometer and an activity recognition system (ARS) which is modularly structured using an artificial neural network and an output filter. For the purpose of experiment and comparison, and with the aim of minimizing the computational cost, the artificial neural network has been modelled according to three different architectures based on the input delay neural network (IDNN). We show that the ARS can achieve very high accuracy on segments of data sequences, with an extremely small neural network that can be embedded in programmable low power devices. Given that digging is typically a long activity (up to two hours), the application of ARS on data segments can be repeated over time to set up a reliable and efficient system, called Tortoise@ for digging activity recognition. Copyright:},
  file = {/home/fbence/Zotero/storage/ZH8DKZK7/Barbuti et al. - 2016 - Localizing tortoise nests by neural networks.pdf}
}

@inproceedings{barnettConsumerPerceptionsInteractive2014,
  title = {Consumer Perceptions of {{Interactive Service Robots}}: {{A Value-Dominant Logic}} Perspective},
  booktitle = {{{IEEE RO-MAN}} 2014 - 23rd {{IEEE International Symposium}} on {{Robot}} and {{Human Interactive Communication}}: {{Human-Robot Co-Existence}}: {{Adaptive Interfaces}} and {{Systems}} for {{Daily Life}}, {{Therapy}}, {{Assistance}} and {{Socially Engaging Interactions}}},
  author = {Barnett, Willy and Foos, Adrienne and Gruber, Thorsten and Keeling, Debbie and Keeling, Kathleen and Nasr, Linda},
  date = {2014-10},
  pages = {1134--1139},
  publisher = {{Institute of Electrical and Electronics Engineers Inc.}},
  doi = {10.1109/ROMAN.2014.6926404},
  abstract = {We propose a 'Value-Dominant Logic' approach to complement HRI research by integrating two well-known user-centric methodologies from the field of marketing. From the results of laddering interviews accompanied by a visual projective technique we show that consumer value perceptions of robots in a retail service environment are of a paradoxical nature where behavioral and social norms are expected of the robot, yet not for the user. Our consumer oriented value-based approach can contribute to the field of HRI by providing a complementary means of user-centered design/ methodology/requirements gathering and additional multidisciplinary collaborations.},
  isbn = {978-1-4799-6763-6}
}

@book{barratDynamicalProcessesComplex2008,
  title = {Dynamical Processes on Complex Networks},
  author = {Barrat, Alain and Barthelemy, Marc and Vespignani, Alessandro},
  date = {2008},
  publisher = {{Cambridge university press}}
}

@article{barthelemyGaitAnalysisUsing2009,
  title = {Gait Analysis Using Accelerometry in Dystrophin-Deficient Dogs},
  author = {Barthélémy, Inès and Barrey, Eric and Thibaud, Jean-Laurent and Uriarte, Ane and Voit, Thomas and Blot, Stéphane and Hogrel, Jean-Yves},
  date = {2009-11},
  journaltitle = {Neuromuscular Disorders},
  volume = {19},
  number = {11},
  eprint = {19800232},
  eprinttype = {pmid},
  pages = {788--796},
  issn = {09608966},
  doi = {10.1016/j.nmd.2009.07.014},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/19800232 https://linkinghub.elsevier.com/retrieve/pii/S0960896609005781 https://www.sciencedirect.com/science/article/pii/S0960896609005781},
  abstract = {Dogs affected with Golden Retriever Muscular Dystrophy (GRMD) exhibit striking clinical similarities with patients suffering from Duchenne muscular dystrophy (DMD), particularly gait impairments. The purpose of this study was to describe the use and reliability of accelerometry in gait assessment of dogs with muscular dystrophy. Eight healthy and 11 GRMD adult dogs underwent three gait assessment sessions, using accelerometry. Three-axial recordings of accelerations were performed, and gait variables calculated. Total power, force and regularity of accelerations, stride length and speed, normalized by height at withers, stride frequency, and cranio-caudal power were significantly decreased, whereas medio-lateral power was significantly increased in GRMD dogs. Moreover, these variables were repeatable within and between sessions. Accelerometry provides reliable variables which highlight specific gait patterns of GRMD dogs, describing objectively and quantitatively their slow, short-stepped, and swaying gait. As it is easy to set-up, quick to perform and inexpensive, accelerometry represents a useful tool, to assess locomotion during pre-clinical trials.}
}

@article{bartneckDoesDesignRobot2009,
  title = {Does the Design of a Robot Influence Its Animacy and Perceived Intelligence?},
  author = {Bartneck, Christoph and Kanda, Takayuki and Mubin, Omar and Al Mahmud, Abdullah},
  date = {2009-02},
  journaltitle = {International Journal of Social Robotics},
  volume = {1},
  number = {2},
  pages = {195--204},
  publisher = {{Kluwer Academic Publishers}},
  issn = {18754805},
  doi = {10.1007/s12369-009-0013-7},
  url = {https://link.springer.com/article/10.1007/s12369-009-0013-7},
  abstract = {Robots exhibit life-like behavior by performing intelligent actions. To enhance human-robot interaction it is necessary to investigate and understand how end-users perceive such animate behavior. In this paper, we report an experiment to investigate how people perceived different designs of robot embodiments in terms of animacy and intelligence. iCat and Robovie II were used as the two embodiments in this experiment. We conducted a between-subject experiment where robot type was the independent variable, and perceived animacy and intelligence of the robot were the dependent variables. Our findings suggest that a robot's perceived intelligence is significantly correlated with animacy. The correlation between the intelligence and the animacy of a robot was observed to be stronger in the case of the iCat embodiment. Our results also indicate that the more animated the face of the robot, the more likely it is to attract the attention of a user. We also discuss the possible and probable explanations of the results obtained. © The Author(s) 2009.},
  keywords = {Animacy,Embodiment,Intelligence,Perception,Robot},
  file = {/home/fbence/Zotero/storage/LDRUIN9F/Bartneck et al. - 2009 - Does the design of a robot influence its animacy and perceived intelligence.pdf}
}

@inproceedings{bartneckMyRoboticDoppelganger2009,
  title = {My Robotic Doppelgänger - {{A}} Critical Look at the {{Uncanny Valley}}},
  booktitle = {Proceedings - {{IEEE International Workshop}} on {{Robot}} and {{Human Interactive Communication}}},
  author = {Bartneck, Christoph and Kanda, Takayuki and Ishiguro, Hiroshi and Hagita, Norihiro},
  date = {2009},
  pages = {269--276},
  doi = {10.1109/ROMAN.2009.5326351},
  abstract = {The Uncanny Valley hypothesis has been widely used in the areas of computer graphics and Human-Robot Interaction to motivate research and to explain the negative impressions that participants report after exposure to highly realistic characters or robots. Despite its frequent use, empirical proof for the hypothesis remains scarce. This study empirically tested two predictions of the hypothesis: a) highly realistic robots are liked less than real humans and b) the highly realistic robot's movement decreases its likeability. The results do not support these hypotheses and hence expose a considerable weakness in the Uncanny Valley hypothesis. Anthropomorphism and likeability may be multi-dimensional constructs that cannot be projected into a two-dimensional space. We speculate that the hypothesis' popularity may stem from the explanatory escape route it offers to the developers of characters and robots. In any case, the Uncanny Valley hypothesis should no longer be used to hold back the development of highly realistic androids. © 2009 IEEE.},
  isbn = {978-1-4244-5081-7}
}

@inproceedings{bartneckUncannyValleyUncanny2007,
  title = {Is the Uncanny Valley an Uncanny Cliff?},
  booktitle = {Proceedings - {{IEEE International Workshop}} on {{Robot}} and {{Human Interactive Communication}}},
  author = {Bartneck, Christoph and Kanda, Takayuki and Ishiguro, Hiroshi and Hagita, Norihiro},
  date = {2007},
  pages = {368--373},
  doi = {10.1109/ROMAN.2007.4415111},
  abstract = {The uncanny valley theory proposed by Mori in 1970 has been a hot topic in human robot interaction research, in particular since the development of increasingly human-like androids and computer graphics. In this paper we describe an empirical study that attempts to plot Mori's hypothesized curve. In addition, the influence of framing on the users' perception of the stimuli was investigated. Framing had no significant influence on the measurements. The pictures of robots and humans were rated independently of whether the participants knew a particular picture showed a robot or human. Anthropomorphism had a significant influence on the measurements, but not even pictures of real humans were rated as likeable as the pictures of humanoids or toy robots. As a result we suggest the existence of an uncanny cliff model as an alternative to the uncanny valley model. However, this study focused on the perception of pictures of robots and the results, including the suggested model, may be different for the perception of movies of moving robots or the perception of standing right in front of a moving robot. ©2007 IEEE.},
  isbn = {1-4244-1634-5},
  file = {/home/fbence/Zotero/storage/B46JX4B6/Bartneck et al. - 2007 - Is the uncanny valley an uncanny cliff.pdf}
}

@article{beltraminoActivityBudgetsSedentary2019,
  title = {Activity Budgets for the Sedentary {{Argentine}} Sea Bass {{Acanthistius}} Patachonicus Inferred from Accelerometer Data Loggers},
  author = {Beltramino, Lucas E. and Venerus, Leonardo A. and Trobbiani, Gastón A. and Wilson, Rory P. and Ciancio, Javier E.},
  date = {2019},
  journaltitle = {Austral Ecology},
  volume = {44},
  number = {3},
  pages = {397--408},
  issn = {14429993},
  doi = {10.1111/aec.12696},
  abstract = {\textbackslash textlessdiv class="abstract-group"\textbackslash textgreater \textbackslash textlesssection class="article-section article-section\_\_abstract" lang="en" data-lang="en" id="section-1-en"\textbackslash textgreater \textbackslash textlessh3 class="article-section\_\_header main abstractlang\_en main"\textbackslash textgreaterAbstract\textbackslash textless/h3\textbackslash textgreater\textbackslash textlessa class="lang" hreflang="en" data-lang-of="en"\textbackslash textgreateren\textbackslash textless/a\textbackslash textgreater\textbackslash textlessdiv class="article-section\_\_content en main"\textbackslash textgreater \textbackslash textlessp\textbackslash textgreaterThe amount of energy an animal uses to move may constitute a significant fraction of its energy budget, so detailed descriptions of wild animal activity budgets can help to understand the ecology of a species, both at the individual and at the population levels. The rocky‐reef fishes inhabiting the northern Patagonian gulfs of Argentina are important economic and recreational resources for which no activity or energy budgets are available. This fish assemblage may reach high aggregated biomasses (exceeding several hundreds of kilogrammes of fish distributed along a few hundred metres of linear reef ledges) and is not clear how such biomasses can be supported by the low productivity of the Patagonian coastal waters. We used animal‐attached accelerometers to characterise the behaviours and activity budgets for the most abundant and ubiquitous species of this assemblage, the Argentine sea bass or ‘Mero' \textbackslash textlessi\textbackslash textgreaterAcanthistius patachonicus\textbackslash textless/i\textbackslash textgreater (Jenyns, 1840; Osteichthyes: Serranidae). Sixteen individuals were tagged (two in captivity and 14 free‐living) and an ethogram was generated from acceleration recordings in varying environmental conditions. Two algorithms were used to classify the behaviours of wild fish. Both showed generally similar results during the cold‐water season (8–10°C), but differed slightly in the warm‐water season (16–18°C). Overall, sea bass were more active during warm season (mean time spent engaged in active behaviours; 46\%, range; 24–60\%). In contrast, during cold season fish only spent a mean of 29\% of their time in active behaviours (range; 15–49\%). No clear response to tidal state or ambient light was found, but some fish were more active during the night in the cold water season. Here, we provide the first activity budgets for the conspicuous Argentine sea bass, which contribute to our understanding of rocky‐reef fish behaviour in Patagonia.\textbackslash textless/p\textbackslash textgreater},
  keywords = {accelerometer,behaviour,ethogram,rocky-reef fish,Serranidae},
  file = {/home/fbence/Zotero/storage/9CWLUQ92/Beltramino et al. - 2019 - Activity budgets for the sedentary Argentine sea bass Acanthistius patachonicus inferred from accelerometer d.pdf}
}

@article{benaissaUseOncowAccelerometers2017,
  title = {On the Use of On-Cow Accelerometers for the Classification of Behaviours in Dairy Barns},
  author = {Benaissa, Said and Tuyttens, Frank A.M. and Plets, David and de Pessemier, Toon and Trogh, Jens and Tanghe, Emmeric and Martens, Luc and Vandaele, Leen and Van Nuffel, Annelies and Joseph, Wout and Sonck, Bart},
  options = {useprefix=true},
  date = {2017},
  journaltitle = {Research in Veterinary Science},
  issn = {15322661},
  doi = {10.1016/j.rvsc.2017.10.005},
  abstract = {Analysing behaviours can provide insight into the health and overall well-being of dairy cows. Automatic monitoring systems using e.g., accelerometers are becoming increasingly important to accurately quantify cows' behaviours as the herd size increases. The aim of this study is to automatically classify cows' behaviours by comparing leg- and neck-mounted accelerometers, and to study the effect of the sampling rate and the number of accelerometer axes logged on the classification performances. Lying, standing, and feeding behaviours of 16 different lactating dairy cows were logged for 6. h with 3D-accelerometers. The behaviours were simultaneously recorded using visual observation and video recordings as a reference. Different features were extracted from the raw data and machine learning algorithms were used for the classification.The classification models using combined data of the neck- and the leg-mounted accelerometers have classified the three behaviours with high precision (80-99\%) and sensitivity (87-99\%). For the leg-mounted accelerometer, lying behaviour was classified with high precision (99\%) and sensitivity (98\%). Feeding was classified more accurately by the neck-mounted versus the leg-mounted accelerometer (precision 92\% versus 80\%; sensitivity 97\% versus 88\%). Standing was the most difficult behaviour to classify when only one accelerometer was used. In addition, the classification performances were not highly influenced when only X, X and Z, or Z and Y axes were used for the classification instead of three axes, especially for the neck-mounted accelerometer. Moreover, the accuracy of the models decreased with about 20\% when the sampling rate was decreased from 1. Hz to 0.05. Hz.},
  issue = {April},
  keywords = {Accelerometer,Behaviours classification,Dairy cows,Feature extraction,Machine learning},
  file = {/home/fbence/Zotero/storage/3IE9SVPX/Benaissa et al. - 2017 - On the use of on-cow accelerometers for the classification of behaviours in dairy barns.pdf}
}

@article{bensonResourceSelectionWolves2015,
  title = {Resource Selection by Wolves at Dens and Rendezvous Sites in {{Algonquin}} Park, {{Canada}}},
  author = {Benson, John F. and Mills, Kenneth J. and Patterson, Brent R.},
  date = {2015-02},
  journaltitle = {Biological Conservation},
  volume = {182},
  pages = {223--232},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/abs/pii/S0006320714004832 https://www.sciencedirect.com/science/article/pii/S0006320714004832?np=y},
  abstract = {Eastern wolves (Canis lycaon) are a species of special concern in Canada and their geographic range appears to be restricted mainly to Algonquin Provincial Park (APP) in Ontario, Canada. Previous work showed pup survival was relatively low throughout portions of APP which may limit the extent to which this protected area can act as a source of dispersing individuals to adjacent areas. We modeled resource selection by wolves at dens and rendezvous sites to identify environmental variables that were selected and avoided in APP during pup-rearing. We also quantified differences in resource selection between den and rendezvous sites and investigated links between home-site selection and pup survival. Wolves selected dens closer to wetlands and water, farther from secondary roads, and on steeper slopes relative to rendezvous sites. When we modeled den and rendezvous sites separately, wolves selected wetlands, water, conifer forests and tertiary roads at dens, whereas they selected wetlands and conifer forests at rendezvous sites. Packs that lost pups to starvation and intraspecific strife avoided water and selected wetlands and mixed forests at home-sites more than packs that did not lose pups to these mortality agents. Previous research showed that pup starvation occurred for packs in APP with lower beaver density in their territories, and our results indicate that these packs selected habitats at dens and rendezvous sites associated with alternative prey (moose). Moose are likely more difficult prey than beavers to kill during summer which may contribute to the higher nutrition-related mortality of pups in packs with decreased access to beavers. Our results inform eastern wolf conservation efforts and should be considered during forest management and park planning activities in APP. More broadly, our research provides novel insight into temporal differences in home-site selection across the pup-rearing season and the relationship between resource selection and pup mortality.}
}

@misc{berdahlCollectiveAnimalNavigation2018,
  title = {Collective Animal Navigation and Migratory Culture: {{From}} Theoretical Models to Empirical Evidence},
  author = {Berdahl, Andrew M. and Kao, Albert B. and Flack, Andrea and Westley, Peter A.H. and Codling, Edward A. and Couzin, Iain D. and Dell, Anthony I. and Biro, Dora},
  date = {2018-05},
  journaltitle = {Philosophical Transactions of the Royal Society B: Biological Sciences},
  volume = {373},
  number = {1746},
  eprint = {29581394},
  eprinttype = {pmid},
  publisher = {{Royal Society Publishing}},
  issn = {14712970},
  doi = {10.1098/rstb.2017.0009},
  abstract = {Animals often travel in groups, and their navigational decisions can be influenced by social interactions. Both theory and empirical observations suggest that such collective navigation can result in individuals improving their ability to find their way and could be one of the key benefits of sociality for these species. Here, we provide an overview of the potential mechanisms underlying collective navigation, review the known, and supposed, empirical evidence for such behaviour and highlight interesting directions for future research. We further explore how both social and collective learning during group navigation could lead to the accumulation of knowledge at the population level, resulting in the emergence of migratory culture.},
  keywords = {Animal culture,Collective learning,Emergent sensing,Leadership,Many wrongs,Migration},
  file = {/home/fbence/Zotero/storage/VHTFKLLR/Berdahl et al. - 2018 - Collective animal navigation and migratory culture From theoretical models to empirical evidence.pdf}
}

@article{bidderLoveThyNeighbour2014,
  title = {Love Thy Neighbour: {{Automatic}} Animal Behavioural Classification of Acceleration Data Using the k-Nearest Neighbour Algorithm},
  author = {Bidder, Owen R. and Campbell, Hamish A. and Gómez-Laich, Agustina and Urgé, Patricia and Walker, James and Cai, Yuzhi and Gao, Lianli and Quintana, Flavio and Wilson, Rory P.},
  editor = {Kalueff, Allan V.},
  date = {2014-02},
  journaltitle = {PLoS ONE},
  volume = {9},
  number = {2},
  pages = {e88609},
  publisher = {{Public Library of Science}},
  issn = {19326203},
  doi = {10.1371/journal.pone.0088609},
  url = {http://dx.plos.org/10.1371/journal.pone.0088609},
  abstract = {Researchers hoping to elucidate the behaviour of species that aren't readily observed are able to do so using biotelemetry methods. Accelerometers in particular are proving particularly effective and have been used on terrestrial, aquatic and volant species with success. In the past, behavioural modes were detected in accelerometer data through manual inspection, but with developments in technology, modern accelerometers now record at frequencies that make this impractical. In light of this, some researchers have suggested the use of various machine learning approaches as a means to classify accelerometer data automatically. We feel uptake of this approach by the scientific community is inhibited for two reasons; 1) Most machine learning algorithms require selection of summary statistics which obscure the decision mechanisms by which classifications are arrived, and 2) they are difficult to implement without appreciable computational skill. We present a method which allows researchers to classify accelerometer data into behavioural classes automatically using a primitive machine learning algorithm, k-nearest neighbour (KNN). Raw acceleration data may be used in KNN without selection of summary statistics, and it is easily implemented using the freeware program R. The method is evaluated by detecting 5 behavioural modes in 8 species, with examples of quadrupedal, bipedal and volant species. Accuracy and Precision were found to be comparable with other, more complex methods. In order to assist in the application of this method, the script required to run KNN analysis in R is provided. We envisage that the KNN method may be coupled with methods for investigating animal position, such as GPS telemetry or dead-reckoning, in order to implement an integrated approach to movement ecology research. © 2014 Bidder et al.},
  file = {/home/fbence/Zotero/storage/MJ54R5LM/Bidder et al. - 2014 - Love thy neighbour Automatic animal behavioural classification of acceleration data using the k-nearest neighbour.pdf}
}

@article{birdDeepLearningAccurately2019,
  title = {Deep Learning Accurately Predicts White Shark Locomotor Activity from Depth Data},
  author = {Bird, L. and Kanive, P. and Maughan, T. and Jewell, O. and Jorgensen, S. and Liu, Z. and Chapple, T. and Gleiss, A. and Moxley, J. and White, C. and Gagne, T.},
  date = {2019},
  journaltitle = {Animal Biotelemetry},
  volume = {7},
  number = {1},
  publisher = {{Springer Nature}},
  issn = {20503385},
  doi = {10.1186/s40317-019-0175-5},
  abstract = {Background: The study of bioenergetics, kinematics, and behavior in free-ranging animals has been transformed through the increasing use of biologging devices that sample motion intensively with high-resolution sensors. Overall dynamic body acceleration (ODBA) derived from biologging tags has been validated as a proxy of locomotor energy expenditure has been calibrated in a range of terrestrial and aquatic taxa. The increased temporal resolution required to discern fine-scale processes and infer energetic expenditure, however, is associated with increased power and memory requirements, as well as the logistical challenges of recovering data from archival instruments. This limits the duration and spatial extent of studies, potentially excluding relevant ecological processes that occur over larger scales. Method: Here, we present a procedure that uses deep learning to estimate locomotor activity solely from vertical movement patterns. We trained artificial neural networks (ANNs) to predict ODBA from univariate depth (pressure) data from two free-swimming white sharks (Carcharodon carcharias). Results: Following 1 h of training data from an individual shark, ANN enabled robust predictions of ODBA from 1 Hz pressure sensor data at multiple temporal scales. These predictions consistently out-performed a null central-tendency model and generalized predictions more accurately than other machine learning techniques tested. The ANN prediction accuracy of ODBA integrated overtime periods ≥ 10 min was consistently high (∼ 90\% accuracy, \textbackslash textgreater 10\% improvement over null) for the same shark and equivalently generalizable across individuals (\textbackslash textgreater 75\% accuracy). Instantaneous ODBA estimates were more variable (R \textbackslash textlesssup\textbackslash textgreater2\textbackslash textless/sup\textbackslash textgreater = 0.54 for shark 1, 0.24 for shark 2). Prediction accuracy was insensitive to the volume of training data, no observable gains were achieved in predicting 6 h of test data beyond 1-3 h of training. Conclusions: Augmenting simple depth metrics with energetic and kinematic information from comparatively short-lived, high-resolution datasets greatly expands the potential inference that can be drawn from more common and widely deployed time-depth recorder (TDR) datasets. Future research efforts will focus on building a broadly generalized model that leverages archives of full motion sensor biologging data sets with the greatest number of individuals encompassing diverse habitats, behaviors, and attachment methods.}
}

@article{birrellDefinitionIntoleranceUncertainty2011,
  title = {Toward a Definition of Intolerance of Uncertainty: {{A}} Review of Factor Analytical Studies of the {{Intolerance}} of {{Uncertainty Scale}}},
  author = {Birrell, Jane and Meares, Kevin and Wilkinson, Andrew and Freeston, Mark},
  date = {2011-11},
  journaltitle = {Clinical Psychology Review},
  volume = {31},
  number = {7},
  eprint = {21871853},
  eprinttype = {pmid},
  pages = {1198--1208},
  publisher = {{Pergamon}},
  issn = {02727358},
  doi = {10.1016/j.cpr.2011.07.009},
  abstract = {Since its emergence in the early 1990s, a narrow but concentrated body of research has developed examining the role of intolerance of uncertainty (IU) in worry, and yet we still know little about its phenomenology. In an attempt to clarify our understanding of this construct, this paper traces the way in which our understanding and definition of IU have evolved throughout the literature. This paper also aims to further our understanding of IU by exploring the latent variables measures by the Intolerance of Uncertainty Scale (IUS; Freeston, Rheaume, Letarte, Dugas \& Ladouceur, 1994).A review of the literature surrounding IU confirmed that the current definitions are categorical and lack specificity. A critical review of existing factor analytic studies was carried out in order to determine the underlying factors measured by the IUS. Systematic searches yielded 9 papers for review. Two factors with 12 consistent items emerged throughout the exploratory studies, and the stability of models containing these two factors was demonstrated in subsequent confirmatory studies. It is proposed that these factors represent (i) desire for predictability and an active engagement in seeking certainty, and (ii) paralysis of cognition and action in the face of uncertainty. It is suggested that these factors may represent approach and avoidance responses to uncertainty. Further research is required to confirm the construct validity of these factors and to determine the stability of this structure within clinical samples. © 2011 Elsevier Ltd.},
  keywords = {Factor analysis,Generalized anxiety disorder,Intolerance of uncertainty,Psychometric properties,Test validity,Worry}
}

@article{bogradBiologgingTechnologiesNew2010,
  title = {Biologging Technologies: New Tools for Conservation. {{Introduction}}},
  author = {Bograd, SJ and Block, BA and Costa, DP and Godley, BJ},
  date = {2010-03},
  journaltitle = {Endangered Species Research},
  volume = {10},
  pages = {1--7},
  issn = {1863-5407},
  doi = {10.3354/esr00269},
  url = {http://www.int-res.com/abstracts/esr/v10/p1-7/},
  keywords = {Animal movement,Biologging,Conservation,Environmental sensors,Oceanography,Tagging technologies,Telemetry},
  file = {/home/fbence/Zotero/storage/G8ZPPI4W/Bograd et al. - 2010 - Biologging technologies new tools for conservation. Introduction.pdf}
}

@article{boilyHeterosexualRiskHIV12009,
  title = {Heterosexual Risk of {{HIV-1}} Infection per Sexual Act: Systematic Review and Meta-Analysis of Observational Studies},
  author = {Boily, Marie-Claude and Baggaley, Rebecca F and Wang, Lei and Masse, Benoit and White, Richard G and Hayes, Richard J and Alary, Michel},
  date = {2009},
  journaltitle = {The Lancet infectious diseases},
  volume = {9},
  number = {2},
  pages = {118--129},
  publisher = {{Elsevier}}
}

@book{bondyGraphTheory2008,
  title = {Graph Theory},
  author = {Bondy, John Adrian and Murty, Uppaluri Siva Ramachandra},
  date = {2008},
  publisher = {{Springer}}
}

@article{bourjadeDecisionMakingPrzewalskiHorses2009,
  title = {Decision-{{Making}} in {{Przewalski Horses}} ({{Equus}} Ferus Przewalskii) Is {{Driven}} by the {{Ecological Contexts}} of {{Collective Movements}}},
  author = {Bourjade, Marie and Thierry, Bernard and Maumy, Myriam and Petit, Odile},
  date = {2009},
  journaltitle = {Ethology},
  volume = {115},
  number = {4},
  pages = {321--330},
  publisher = {{Blackwell Publishing Ltd}},
  issn = {1439-0310},
  doi = {10.1111/j.1439-0310.2009.01614.x},
  url = {http://dx.doi.org/10.1111/j.1439-0310.2009.01614.x}
}

@article{bourjadeLeadershipReliableConcept2015,
  title = {Is {{Leadership}} a {{Reliable Concept}} in {{Animals}}? {{An Empirical Study}} in the {{Horse}}},
  author = {Bourjade, Marie and Thierry, Bernard and Hausberger, Martine and Petit, Odile},
  date = {2015},
  journaltitle = {PLoS ONE},
  volume = {10},
  number = {5},
  pages = {1--14},
  publisher = {{Public Library of Science}},
  doi = {10.1371/journal.pone.0126344},
  url = {http://dx.doi.org/10.1371/journal.pone.0126344},
  abstract = {\textbackslash textlessp\textbackslash textgreaterLeadership is commonly invoked when accounting for the coordination of group movements in animals, yet it remains loosely defined. In parallel, there is increased evidence of the sharing of group decisions by animals on the move. How leadership integrates within this recent framework on collective decision-making is unclear. Here, we question the occurrence of leadership in horses, a species in which this concept is of prevalent use. The relevance of the three main definitions of leadership ? departing first, walking in front travel position, and eliciting the joining of mates ? was tested on the collective movements of two semi-free ranging groups of Przewalski horses (\textbackslash textlessitalic\textbackslash textgreaterEquus ferus przewalskii\textbackslash textless/italic\textbackslash textgreater). We did not find any leader capable of driving most group movements or recruiting mates more quickly than others. Several group members often displayed pre-departure behaviours at the same time, and the simultaneous departure of several individuals was common. We conclude that the decision-making process was shared by several group members a group movement (i.e., partially shared consensus) and that the leadership concept did not help to depict individual departure and leading behaviour across movements in both study groups. Rather, the different proxies of leadership produced conflicting information about individual contributions to group coordination. This study discusses the implications of these findings for the field of coordination and decision-making research.\textbackslash textless/p\textbackslash textgreater}
}

@article{breimanStatisticalModelingTwo2001,
  title = {Statistical {{Modeling}}: {{The Two Cultures}} (with Comments and a Rejoinder by the Author)},
  author = {Breiman, Leo},
  date = {2001},
  journaltitle = {Statistical Science},
  volume = {16},
  number = {3},
  pages = {199--231},
  publisher = {{Institute of Mathematical Statistics}},
  issn = {0883-4237},
  doi = {10.1214/SS/1009213726},
  file = {/home/fbence/Zotero/storage/MPLS7P2V/Breiman - 2001 - Statistical Modeling The Two Cultures (with comments and a rejoinder by the author).pdf}
}

@article{breimanStatisticalModelingTwo2001a,
  title = {Statistical Modeling: {{The}} Two Cultures},
  author = {Breiman, Leo},
  date = {2001},
  journaltitle = {Statistical Science},
  volume = {16},
  number = {3},
  pages = {199--215},
  issn = {08834237},
  doi = {10.1214/ss/1009213726},
  abstract = {There are two cultures in the use of statistical modeling to reach conclusions from data. One assumes that the data are generated bya given stochastic data model. The other uses algorithmic models and treats the data mechanism as unknown. The statistical communityhas been committed to the almost exclusive use of data models. This commitment has led to irrelevant theory, questionable conclusions, and has kept statisticians from working on a large range of interesting current problems. Algorithmic modeling, both in theoryand practice, has developed rapidlyin fields outside statistics. It can be used both on large complex data sets and as a more accurate and informative alternative to data modeling on smaller data sets. If our goal as a field is to use data to solve problems, then we need to move awayfrom exclusive dependence on data models and adopt a more diverse set of tools. © 2001 Institute of Mathematical Statistics.},
  file = {/home/fbence/Zotero/storage/X7ZBGLU8/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf}
}

@report{brentonUncannyValleyDoes,
  title = {The {{Uncanny Valley}}: Does It Exist?},
  author = {Brenton, Harry and Gillies, Marco and Ballin, Daniel and Chatting, David},
  abstract = {The 'Uncanny Valley' refers to a sense of unease and discomfort when people look at increasingly realistic virtual humans. Despite growing academic interest in the Uncanny Valley our understanding is limited and there has been little rigorous questioning to determine if the phenomenon actually exists. The Uncanny Valley questions widely held assumptions about the correlation between realism and believability within a virtual world. There is considerable anecdotal evidence for the uncanny from film, CGI and sculpture, but this does not in itself support the valley model. Four hypothesises are proposed; considering the role of presence, mismatch of cue realism, the contribution of the eyes and cultural habituation. Future research aims are then described in order to experimentally test the Uncanny Valley.},
  file = {/home/fbence/Zotero/storage/L4MPPINT/Brenton et al. - Unknown - The Uncanny Valley does it exist.pdf}
}

@article{brewsterDevelopmentApplicationMachine2018,
  title = {Development and Application of a Machine Learning Algorithm for Classification of Elasmobranch Behaviour from Accelerometry Data},
  author = {Brewster, L. R. and Dale, J. J. and Guttridge, T. L. and Gruber, S. H. and Hansell, A. C. and Elliott, M. and Cowx, I. G. and Whitney, N. M. and Gleiss, A. C.},
  date = {2018},
  journaltitle = {Marine Biology},
  volume = {165},
  number = {4},
  pages = {1--19},
  publisher = {{Springer Berlin Heidelberg}},
  issn = {00253162},
  doi = {10.1007/s00227-018-3318-y},
  url = {https://doi.org/10.1007/s00227-018-3318-y},
  abstract = {© 2018, The Author(s). Discerning behaviours of free-ranging animals allows for quantification of their activity budget, providing important insight into ecology. Over recent years, accelerometers have been used to unveil the cryptic lives of animals. The increased ability of accelerometers to store large quantities of high resolution data has prompted a need for automated behavioural classification. We assessed the performance of several machine learning (ML) classifiers to discern five behaviours performed by accelerometer-equipped juvenile lemon sharks (Negaprion brevirostris) at Bimini, Bahamas (25°44′N, 79°16′W). The sharks were observed to exhibit chafing, burst swimming, headshaking, resting and swimming in a semi-captive environment and these observations were used to ground-truth data for ML training and testing. ML methods included logistic regression, an artificial neural network, two random forest models, a gradient boosting model and a voting ensemble (VE) model, which combined the predictions of all other (base) models to improve classifier performance. The macro-averaged F-measure, an indicator of classifier performance, showed that the VE model improved overall classification (F-measure 0.88) above the strongest base learner model, gradient boosting (0.86). To test whether the VE model provided biologically meaningful results when applied to accelerometer data obtained from wild sharks, we investigated headshaking behaviour, as a proxy for prey capture, in relation to the variables: time of day, tidal phase and season. All variables were significant in predicting prey capture, with predations most likely to occur during early evening and less frequently during the dry season and high tides. These findings support previous hypotheses from sporadic visual observations.},
  isbn = {0123456789},
  file = {/home/fbence/Zotero/storage/9LFM9AWY/Brewster et al. - 2018 - Development and application of a machine learning algorithm for classification of elasmobranch behaviour from a.pdf}
}

@article{briardHowStallionsInfluence2017,
  title = {How Stallions Influence the Dynamic of Collective Movements in Two Groups of Domestic Horses, from Departure to Arrival},
  author = {Briard, Léa and Deneubourg, Jean-Louis and Petit, Odile},
  date = {2017},
  journaltitle = {Behavioural processes},
  volume = {142},
  pages = {56--63},
  publisher = {{Elsevier}}
}

@article{briardPersonalityAffinitiesPlay2015,
  title = {Personality and Affinities Play a Key Role in the Organisation of Collective Movements in a Group of Domestic Horses},
  author = {Briard, Léa and Dorn, Camille and Petit, Odile},
  date = {2015},
  journaltitle = {Ethology},
  volume = {121},
  number = {9},
  pages = {888--902},
  publisher = {{Wiley Online Library}}
}

@misc{brownObservingUnwatchableAcceleration2013,
  title = {Observing the Unwatchable through Acceleration Logging of Animal Behavior},
  author = {Brown, Danielle D. and Kays, Roland and Wikelski, Martin and Wilson, Rory and Klimley, A. Peter},
  date = {2013-12},
  journaltitle = {Animal Biotelemetry},
  volume = {1},
  number = {1},
  pages = {1--16},
  publisher = {{BioMed Central Ltd.}},
  issn = {20503385},
  doi = {10.1186/2050-3385-1-20},
  abstract = {Behavior is an important mechanism of evolution and it is paid for through energy expenditure. Nevertheless, field biologists can rarely observe animals for more than a fraction of their daily activities and attempts to quantify behavior for modeling ecological processes often exclude cryptic yet important behavioral events. Over the past few years, an explosion of research on remote monitoring of animal behavior using acceleration sensors has smashed the decades-old limits of observational studies. Animal-attached accelerometers measure the change in velocity of the body over time and can quantify fine-scale movements and body postures unlimited by visibility, observer bias, or the scale of space use. Pioneered more than a decade ago, application of accelerometers as a remote monitoring tool has recently surged thanks to the development of more accessible hardware and software. It has been applied to more than 120 species of animals to date. Accelerometer measurements are typically collected in three dimensions of movement at very high resolution (\textbackslash textgreater10Hz), and have so far been applied towards two main objectives. First, the patterns of accelerometer waveforms can be used to deduce specific behaviors through animal movement and body posture. Second, the variation in accelerometer waveform measurements has been shown to correlate with energy expenditure, opening up a suite of scientific questions in species notoriously difficult to observe in the wild. To date, studies of wild aquatic species outnumber wild terrestrial species and analyses of social behaviors are particularly few in number. Researchers of domestic and captive species also tend to report methodology more thoroughly than those studying species in the wild. There are substantial challenges to getting the most out of accelerometers, including validation, calibration, and the management and analysis of large quantities of data. In this review, we illustrate how accelerometers work, provide an overview of the ecological questions that have employed accelerometry, and highlight the emerging best practices for data acquisition and analysis. This tool offers a level of detail in behavioral studies of free-ranging wild animals that has previously been impossible to achieve and, across scientific disciplines, it improves understanding of the role of behavioral mechanisms in ecological and evolutionary processes.},
  keywords = {Accelerometer,Activity,Animal behavior,Bio-logging,Dead reckoning,Energy expenditure,Ethogram,Remote observation,Telemetry},
  file = {/home/fbence/Zotero/storage/ZGQ9LQNW/Brown et al. - 2013 - Observing the unwatchable through acceleration logging of animal behavior.pdf}
}

@article{brownObservingUnwatchableAcceleration2013a,
  title = {Observing the Unwatchable through Acceleration Logging of Animal Behavior},
  author = {Brown, Danielle D and Kays, Roland and Wikelski, Martin and Wilson, Rory and Klimley, A},
  date = {2013-12},
  journaltitle = {Animal Biotelemetry},
  volume = {1},
  number = {1},
  pages = {20},
  publisher = {{BioMed Central}},
  issn = {2050-3385},
  doi = {10.1186/2050-3385-1-20},
  url = {http://animalbiotelemetry.biomedcentral.com/articles/10.1186/2050-3385-1-20},
  abstract = {Behavior is an important mechanism of evolution and it is paid for through energy expenditure. Nevertheless, field biologists can rarely observe animals for more than a fraction of their daily activities and attempts to quantify behavior for modeling ecological processes often exclude cryptic yet important behavioral events. Over the past few years, an explosion of research on remote monitoring of animal behavior using acceleration sensors has smashed the decades-old limits of observational studies. Animal-attached accelerometers measure the change in velocity of the body over time and can quantify fine-scale movements and body postures unlimited by visibility, observer bias, or the scale of space use. Pioneered more than a decade ago, application of accelerometers as a remote monitoring tool has recently surged thanks to the development of more accessible hardware and software. It has been applied to more than 120 species of animals to date. Accelerometer measurements are typically collected in three dimensions of movement at very high resolution (\textbackslash textgreater10 Hz), and have so far been applied towards two main objectives. First, the patterns of accelerometer waveforms can be used to deduce specific behaviors through animal movement and body posture. Second, the variation in accelerometer waveform measurements has been shown to correlate with energy expenditure, opening up a suite of scientific questions in species notoriously difficult to observe in the wild. To date, studies of wild aquatic species outnumber wild terrestrial species and analyses of social behaviors are particularly few in number. Researchers of domestic and captive species also tend to report methodology more thoroughly than those studying species in the wild. There are substantial challenges to getting the most out of accelerometers, including validation, calibration, and the management and analysis of large quantities of data. In this review, we illustrate how accelerometers work, provide an overview of the ecological questions that have employed accelerometry, and highlight the emerging best practices for data acquisition and analysis. This tool offers a level of detail in behavioral studies of free-ranging wild animals that has previously been impossible to achieve and, across scientific disciplines, it improves understanding of the role of behavioral mechanisms in ecological and evolutionary processes.},
  keywords = {Animal Systematics/Taxonomy/Biogeography},
  file = {/home/fbence/Zotero/storage/8J7YXZAY/Brown et al. - 2013 - Observing the unwatchable through acceleration logging of animal behavior.pdf}
}

@article{bsharyImageScoringCooperation2006,
  title = {Image Scoring and Cooperation in a Cleaner Fish Mutualism},
  author = {Bshary, Redouan and Grutter, Alexandra S.},
  date = {2006-06},
  journaltitle = {Nature},
  volume = {441},
  number = {7096},
  pages = {975--978},
  publisher = {{Nature Publishing Group}},
  issn = {14764687},
  doi = {10.1038/nature04755},
  abstract = {Humans are highly social animals and often help unrelated individuals that may never reciprocate the altruist's favour. This apparent evolutionary puzzle may be explained by the altruist's gain in social image: image-scoring bystanders, also known as eavesdroppers, notice the altruistic act and therefore are more likely to help the altruist in the future. Such complex indirect reciprocity based on altruistic acts may evolve only after simple indirect reciprocity has been established, which requires two steps. First, image scoring evolves when bystanders gain personal benefits from information gathered, for example, by finding cooperative partners. Second, altruistic behaviour in the presence of such bystanders may evolve if altruists benefit from access to the bystanders. Here, we provide experimental evidence for both of the requirements in a cleaning mutualism involving the cleaner fish Labroides dimidiatus. These cleaners may cooperate and remove ectoparasites from clients or they may cheat by feeding on client mucus. As mucus may be preferred over typical client ectoparasites, clients must make cleaners feed against their preference to obtain a cooperative service. We found that eavesdropping clients spent more time next to 'cooperative' than 'unknown cooperative level' cleaners, which shows that clients engage in image-scoring behaviour. Furthermore, trained cleaners learned to feed more cooperatively when in an 'image-scoring' than in a 'non-image-scoring' situation. © 2006 Nature Publishing Group.}
}

@article{bunfordAssociationsBehavioralInhibition2019,
  title = {Associations among Behavioral Inhibition and Owner-Rated Attention, Hyperactivity/Impulsivity, and Personality in the Domestic Dog ({{Canis}} Familiaris)},
  author = {Bunford, Nóra and Csibra, Barbara and Peták, Csenge and Ferdinandy, Bence and Miklósi, Ádám and Gácsi, Márta},
  date = {2019-05},
  journaltitle = {Journal of Comparative Psychology},
  volume = {133},
  number = {2},
  pages = {233--243},
  publisher = {{American Psychological Association Inc.}},
  doi = {10.1037/COM0000151},
  abstract = {In humans, behavioral disinhibition is associated with attention-deficit/hyperactivity disorder (ADHD). Limitations to rodent models of ADHD-like behaviors/symptoms may be augmented by complementary ones, such as the domestic dog. We examined associations between family dogs' (N = 29; of 14 breeds and 12 mongrels) performance on a self-developed touchscreen behavioral Go/No-Go paradigm and their owner-rated inattention and hyperactivity/impulsivity, accounting for relevant covariates. A greater proportion of commission errors was associated with greater hyperactivity/impulsivity. Regardless of accuracy, relative to dogs with no previous training, those with basic training had shorter response latencies. Also, regardless of accuracy, greater confidence and extraversion were associated with shorter latencies, and greater openness was associated with longer latencies. Shorter latency to commission errors was associated with greater inattention. Findings support the dog as a model of the association between behavioral disinhibition and ADHD-like behaviors/symptoms and are early evidence of convergent validity between the behavioral paradigm and the rating scale measure in dogs.},
  keywords = {Behavioral inhibition,Domestic dog,Go/No-Go test,Hyperactivity/impulsivity,Inattention}
}

@article{bunfordAssociationsBehavioralInhibition2019a,
  title = {Associations among Behavioral Inhibition and Owner-Rated Attention, Hyperactivity/Impulsivity, and Personality in the Domestic Dog ({{Canis}} Familiaris)},
  author = {Bunford, Nóra and Csibra, Barbara and Peták, Csenge and Ferdinandy, Bence and Miklósi, Ádám and Gácsi, Márta},
  date = {2019-05},
  journaltitle = {Journal of Comparative Psychology},
  volume = {133},
  number = {2},
  eprint = {30394783},
  eprinttype = {pmid},
  pages = {233--243},
  publisher = {{American Psychological Association Inc.}},
  issn = {07357036},
  doi = {10.1037/com0000151},
  abstract = {In humans, behavioral disinhibition is associated with attention-deficit/hyperactivity disorder (ADHD). Limitations to rodent models of ADHD-like behaviors/symptoms may be augmented by complementary ones, such as the domestic dog. We examined associations between family dogs' (N = 29; of 14 breeds and 12 mongrels) performance on a self-developed touchscreen behavioral Go/No-Go paradigm and their owner-rated inattention and hyperactivity/impulsivity, accounting for relevant covariates. A greater proportion of commission errors was associated with greater hyperactivity/impulsivity. Regardless of accuracy, relative to dogs with no previous training, those with basic training had shorter response latencies. Also, regardless of accuracy, greater confidence and extraversion were associated with shorter latencies, and greater openness was associated with longer latencies. Shorter latency to commission errors was associated with greater inattention. Findings support the dog as a model of the association between behavioral disinhibition and ADHD-like behaviors/symptoms and are early evidence of convergent validity between the behavioral paradigm and the rating scale measure in dogs.},
  keywords = {Behavioral inhibition,Domestic dog,Go/No-Go test,Hyperactivity/impulsivity,Inattention}
}

@article{bunfordAssociationsBehavioralInhibition2019b,
  title = {Associations among Behavioral Inhibition and Owner-Rated Attention, Hyperactivity/Impulsivity, and Personality in the Domestic Dog ({{Canis}} Familiaris)},
  author = {Bunford, N. and Csibra, B. and Peták, C. and Ferdinandy, B. and Miklósi, Á. and Gácsi, M.},
  date = {2019},
  journaltitle = {Journal of Comparative Psychology},
  volume = {133},
  number = {2},
  issn = {07357036},
  doi = {10.1037/com0000151},
  abstract = {© 2018 American Psychological Association. In humans, behavioral disinhibition is associated with attention-deficit/hyperactivity disorder (ADHD). Limitations to rodent models of ADHD-like behaviors/symptoms may be augmented by complementary ones, such as the domestic dog. We examined associations between family dogs' (N = 29; of 14 breeds and 12 mongrels) performance on a self-developed touchscreen behavioral Go/No-Go paradigm and their owner-rated inattention and hyperactivity/impulsivity, accounting for relevant covariates. A greater proportion of commission errors was associated with greater hyperactivity/impulsivity. Regardless of accuracy, relative to dogs with no previous training, those with basic training had shorter response latencies. Also, regardless of accuracy, greater confidence and extraversion were associated with shorter latencies, and greater openness was associated with longer latencies. Shorter latency to commission errors was associated with greater inattention. Findings support the dog as a model of the association between behavioral disinhibition and ADHD-like behaviors/symptoms and are early evidence of convergent validity between the behavioral paradigm and the rating scale measure in dogs.},
  keywords = {Behavioral inhibition,Domestic dog,Go/No-Go test,Hyperactivity/impulsivity,Inattention}
}

@article{burleighDoesUncannyValley2013,
  title = {Does the Uncanny Valley Exist? {{An}} Empirical Test of the Relationship between Eeriness and the Human Likeness of Digitally Created Faces},
  author = {Burleigh, Tyler J. and Schoenherr, Jordan R. and Lacroix, Guy L.},
  date = {2013-05},
  journaltitle = {Computers in Human Behavior},
  volume = {29},
  number = {3},
  pages = {759--771},
  publisher = {{Pergamon}},
  issn = {07475632},
  doi = {10.1016/j.chb.2012.11.021},
  abstract = {The uncanny valley theory (UVT) (Mori, 1970) proposes that when stimuli are defined by a near-perfect resemblance to humans they cause people to experience greater negative affect relative to when they have perfect human likeness (HL) or little to no HL. Empirical research to support this non-linear relationship between negative affect and HL has been inconclusive, however, and a satisfactory causal explanation has not yet emerged to explain existing findings. In two studies, we examined the relationship between HL and eeriness using digital human faces. First, we examined the relationship between HL and eeriness while controlling for extraneous variation in stimulus appearance. We created two HL continua by manipulating the facial proportions and polygon count of several digital human models. Second, we proposed and tested two causal hypotheses regarding the uncanny valley phenomenon that we refer to as category conflict and feature atypicality. We created two additional HL continua by manipulating the skin coloration and category membership of models. Across these continua we introduced an atypical feature. Our results suggest that HL is linearly related to emotional response, except under conditions where HL varies by category membership, suggesting that previous empirical findings might be explained as a category conflict. © 2012 Elsevier Ltd. All rights reserved.},
  keywords = {Categorization,Eeriness,Facial perception,Human likeness,Social cognition,Uncanny valley},
  file = {/home/fbence/Zotero/storage/QD86KWU3/Burleigh, Schoenherr, Lacroix - 2013 - Does the uncanny valley exist An empirical test of the relationship between eeriness and the huma.pdf}
}

@article{burleighReappraisalUncannyValley2014,
  title = {A Reappraisal of the Uncanny Valley: {{Categorical}} Perception or Frequency-Based Sensitization?},
  author = {Burleigh, Tyler J. and Schoenherr, Jordan R.},
  date = {2014-01},
  journaltitle = {Frontiers in Psychology},
  volume = {5},
  pages = {1488},
  publisher = {{Frontiers Media S.A.}},
  issn = {16641078},
  doi = {10.3389/fpsyg.2014.01488},
  url = {www.frontiersin.org},
  abstract = {The uncanny valley (UCV) hypothesis describes a non-linear relationship between perceived human-likeness and affective response. The "uncanny valley" refers to an intermediate level of human-likeness that is associated with strong negative affect. Recent studies have suggested that the uncanny valley might result from the categorical perception of human-like stimuli during identification. When presented with stimuli sharing human-like traits, participants attempt to segment the continuum in "human" and "non-human" categories. Due to the ambiguity of stimuli located at a category boundary, categorization difficulty gives rise to a strong, negative affective response. Importantly, researchers who have studied the UCV in terms of categorical perception have focused on categorization responses rather than affective ratings. In the present study, we examined whether the negative affect associated with the UCV might be explained in terms of an individual's degree of exposure to stimuli. In two experiments, we tested a frequency-based model against a categorical perception model using a category-learning paradigm. We manipulated the frequency of exemplars that were presented to participants from two categories during a training phase. We then examined categorization and affective responses functions, as well as the relationship between categorization and affective responses. Supporting previous findings, categorization responses suggested that participants acquired novel category structures that reflected a category boundary. These category structures appeared to influence affective ratings of eeriness. Crucially, participants' ratings of eeriness were additionally affected by exemplar frequency. Taken together, these findings suggest that the UCV is determined by both categorical properties as well as the frequency of individual exemplars retained in memory.},
  issue = {OCT},
  keywords = {Affect,Categorical perception,Categorization,Category learning,Exemplar theory,Exemplar-based,Frequency-based,Uncanny valley},
  file = {/home/fbence/Zotero/storage/ANSFI5SB/Burleigh, Schoenherr - 2014 - A reappraisal of the uncanny valley Categorical perception or frequency-based sensitization.pdf}
}

@article{campbellCreatingBehaviouralClassification2013,
  title = {Creating a Behavioural Classification Module for Acceleration Data: Using a Captive Surrogate for Difficult to Observe Species},
  author = {Campbell, H. A. and Gao, L. and Bidder, O. R. and Hunter, J. and Franklin, C. E.},
  date = {2013},
  journaltitle = {Journal of Experimental Biology},
  volume = {216},
  number = {24},
  pages = {4501--4506},
  issn = {0022-0949},
  doi = {10.1242/jeb.089805},
  abstract = {Distinguishing specific behavioural modes from data collected by animal-borne tri-axial accelerometers can be a time-consuming and subjective process. Data synthesis can be further inhibited when the tri-axial acceleration data cannot be paired with the corresponding behavioural mode through direct observation. Here, we explored the use of a tame surrogate (domestic dog) to build a behavioural classification module, and then used that module to accurately identify and quantify behavioural modes within acceleration collected from other individuals/species. Tri-axial acceleration data were recorded from a domestic dog whilst it was commanded to walk, run, sit, stand and lie-down. Through video synchronisation, each tri-axial acceleration sample was annotated with its associated behavioural mode; the feature vectors were extracted and used to build the classification module through the application of support vector machines (SVMs). This behavioural classification module was then used to identify and quantify the same behavioural modes in acceleration collected from a range of other species (alligator, badger, cheetah, dingo, echidna, kangaroo and wombat). Evaluation of the module performance, using a binary classification system, showed there was a high capacity (90\%) for behaviour recognition between individuals of the same species. Furthermore, a positive correlation existed between SVM capacity and the similarity of the individual's spinal length-to-height above the ground ratio (SL:SH) to that of the surrogate. The study describes how to build a behavioural classification module and highlights the value of using a surrogate for studying cryptic, rare or endangered species. © 2013. Published by The Company of Biologists Ltd.},
  keywords = {accelerometry,accepted 28 august 2013,biotelemetry,endangered species,movement ecology,received 16 april 2013,support vector machines,svms},
  file = {/home/fbence/Zotero/storage/K35AWSSU/Campbell et al. - 2013 - Creating a behavioural classification module for acceleration data using a captive surrogate for difficult to o.pdf}
}

@article{carrollSupervisedAccelerometryAnalysis2014,
  title = {Supervised Accelerometry Analysis Can Identify Prey Capture by Penguins at Sea},
  author = {Carroll, G. and Slip, D. and Jonsen, I. and Harcourt, R.},
  date = {2014},
  journaltitle = {Journal of Experimental Biology},
  volume = {217},
  number = {24},
  pages = {4295--4302},
  issn = {0022-0949},
  doi = {10.1242/jeb.113076},
  abstract = {Determining where, when and how much animals eat is fundamental to understanding their ecology. We developed a technique to identify a prey capture signature for little penguins from accelerometry, in order to quantify food intake remotely. We categorised behaviour of captive penguins from HD video and matched this to time-series data from back-mounted accelerometers. We then trained a support vector machine (SVM) to classify the penguins' behaviour at 0.3 s intervals as either 'prey handling' or 'swimming'. We applied this model to accelerometer data collected from foraging wild penguins to identify prey capture events. We compared prey capture and non-prey capture dives to test the model predictions against foraging theory. The SVM had an accuracy of 84.95±0.26\% (mean ± s.e.) and a false positive rate of 9.82±0.24\% when tested on unseen captive data. For wild data, we defined three independent, consecutive prey handling observations as representing true prey capture, with a false positive rate of 0.09\%. Dives with prey captures had longer duration and bottom times, were deeper, had faster ascent rates, and had more 'wiggles' and 'dashes' (proxies for prey encounter used in other studies). The mean (±s.e.) number of prey captures per foraging trip was 446.6±66.28. By recording the behaviour of captive animals on HD video and using a supervised machine learning approach, we show that accelerometry signatures can classify the behaviour of wild animals at unprecedentedly fine scales.},
  keywords = {energetics,eudyptula minor,feeding,foraging ecology,machine learning,penguin,support vector machine},
  file = {/home/fbence/Zotero/storage/QF8UY87I/Carroll et al. - 2014 - Supervised accelerometry analysis can identify prey capture by penguins at sea.pdf}
}

@article{cassidySexuallyDimorphicAggression2017,
  title = {Sexually Dimorphic Aggression Indicates Male Gray Wolves Specialize in Pack Defense against Conspecific Groups},
  author = {Cassidy, Kira A. and Mech, L. David and MacNulty, Daniel R. and Stahler, Daniel R. and Smith, Douglas W.},
  date = {2017-03},
  journaltitle = {Behavioural Processes},
  volume = {136},
  eprint = {28143722},
  eprinttype = {pmid},
  pages = {64--72},
  issn = {03766357},
  doi = {10.1016/j.beproc.2017.01.011},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/28143722 https://linkinghub.elsevier.com/retrieve/pii/S0376635717300268},
  abstract = {Aggression directed at conspecific groups is common among gregarious, territorial species, and for some species such as gray wolves (Canis lupus) intraspecific strife is the leading cause of natural mortality. Each individual in a group likely has different measures of the costs and benefits associated with a group task, such as an aggressive attack on another group, which can alter motivation and behavior. We observed 292 inter-pack aggressive interactions in Yellowstone National Park between 1 April 1995 and 1 April 2011 (\textbackslash textgreater5300days of observation) in order to determine the role of both sexes, and the influence of pack, age, and other traits on aggression. We recorded the behaviors and characteristics of all individuals present during the interactions (n=534 individuals) and which individuals participated in each step (i.e. chase, attack, kill, flight) of the interaction. Overall, all wolves were more likely to chase rivals if they outnumbered their opponent, suggesting packs accurately assess their opponent's size during encounters and individuals adjust their behavior based on relative pack size. Males were more likely than females to chase rival packs and gray-colored wolves were more aggressive than black-colored wolves. Male wolves and gray-colored wolves also recorded higher cortisol levels than females and black-colored wolves, indicating hormonal support for more intense aggressive behavior. Further, we found a positive correlation between male age and probability of chasing, while age-specific participation for females remained constant. Chasing behavior was influenced by the sex of lone intruders, with males more likely to chase male intruders. This difference in behavior suggests male and female wolves may have different strategies and motivations during inter-pack aggressive interactions related to gray wolf mating systems. A division of labor between pack members concerning resource and territory defense suggests selection for specific traits related to aggression is an adaptive response to intense competition between groups of conspecifics.},
  keywords = {Aggression,Canis lupus,Conflict,Fighting,Individual variation,Intraspecific strife,Mortality,Sexual dimorphism,Territoriality}
}

@article{cassidySexuallyDimorphicAggression2017a,
  title = {Sexually Dimorphic Aggression Indicates Male Gray Wolves Specialize in Pack Defense against Conspecific Groups},
  author = {Cassidy, Kira A. and Mech, L. David and MacNulty, Daniel R. and Stahler, Daniel R. and Smith, Douglas W.},
  date = {2017},
  journaltitle = {Behavioural Processes},
  volume = {136},
  pages = {64--72},
  issn = {03766357},
  doi = {10.1016/j.beproc.2017.01.011},
  url = {https://www.sciencedirect.com/science/article/pii/S0376635717300268},
  abstract = {Aggression directed at conspecific groups is common among gregarious, territorial species, and for some species such as gray wolves (Canis lupus) intraspecific strife is the leading cause of natural mortality. Each individual in a group likely has different measures of the costs and benefits associated with a group task, such as an aggressive attack on another group, which can alter motivation and behavior. We observed 292 inter-pack aggressive interactions in Yellowstone National Park between 1 April 1995 and 1 April 2011 (\textbackslash textgreater5300days of observation) in order to determine the role of both sexes, and the influence of pack, age, and other traits on aggression. We recorded the behaviors and characteristics of all individuals present during the interactions (n=534 individuals) and which individuals participated in each step (i.e. chase, attack, kill, flight) of the interaction. Overall, all wolves were more likely to chase rivals if they outnumbered their opponent, suggesting packs accurately assess their opponent's size during encounters and individuals adjust their behavior based on relative pack size. Males were more likely than females to chase rival packs and gray-colored wolves were more aggressive than black-colored wolves. Male wolves and gray-colored wolves also recorded higher cortisol levels than females and black-colored wolves, indicating hormonal support for more intense aggressive behavior. Further, we found a positive correlation between male age and probability of chasing, while age-specific participation for females remained constant. Chasing behavior was influenced by the sex of lone intruders, with males more likely to chase male intruders. This difference in behavior suggests male and female wolves may have different strategies and motivations during inter-pack aggressive interactions related to gray wolf mating systems. A division of labor between pack members concerning resource and territory defense suggests selection for specific traits related to aggression is an adaptive response to intense competition between groups of conspecifics.}
}

@article{chakravartyBehaviouralCompassAnimal2019,
  title = {Behavioural Compass: {{Animal}} Behaviour Recognition Using Magnetometers},
  author = {Chakravarty, Pritish and Maalberg, Maiki and Cozzi, Gabriele and Ozgul, Arpat and Aminian, Kamiar},
  date = {2019-08},
  journaltitle = {Movement Ecology},
  volume = {7},
  number = {1},
  publisher = {{BioMed Central Ltd.}},
  issn = {20513933},
  doi = {10.1186/s40462-019-0172-6},
  abstract = {Background: Animal-borne data loggers today often house several sensors recording simultaneously at high frequency. This offers opportunities to gain fine-scale insights into behaviour from individual-sensor as well as integrated multi-sensor data. In the context of behaviour recognition, even though accelerometers have been used extensively, magnetometers have recently been shown to detect specific behaviours that accelerometers miss. The prevalent constraint of limited training data necessitates the importance of identifying behaviours with high robustness to data from new individuals, and may require fusing data from both these sensors. However, no study yet has developed an end-to-end approach to recognise common animal behaviours such as foraging, locomotion, and resting from magnetometer data in a common classification framework capable of accommodating and comparing data from both sensors. Methods: We address this by first leveraging magnetometers' similarity to accelerometers to develop biomechanical descriptors of movement: we use the static component given by sensor tilt with respect to Earth's local magnetic field to estimate posture, and the dynamic component given by change in sensor tilt with time to characterise movement intensity and periodicity. We use these descriptors within an existing hybrid scheme that combines biomechanics and machine learning to recognise behaviour. We showcase the utility of our method on triaxial magnetometer data collected on ten wild Kalahari meerkats (Suricata suricatta), with annotated video recordings of each individual serving as groundtruth. Finally, we compare our results with accelerometer-based behaviour recognition. Results: The overall recognition accuracy of \textbackslash textgreater 94\% obtained with magnetometer data was found to be comparable to that achieved using accelerometer data. Interestingly, higher robustness to inter-individual variability in dynamic behaviour was achieved with the magnetometer, while the accelerometer was better at estimating posture. Conclusions: Magnetometers were found to accurately identify common behaviours, and were particularly robust to dynamic behaviour recognition. The use of biomechanical considerations to summarise magnetometer data makes the hybrid scheme capable of accommodating data from either or both sensors within the same framework according to each sensor's strengths. This provides future studies with a method to assess the added benefit of using magnetometers for behaviour recognition.},
  keywords = {Accelerometer,Angular velocity,Behaviour recognition,Biomechanics,Earth's magnetic field,Machine learning,Magnetometer,Meerkats},
  file = {/home/fbence/Zotero/storage/PY5VE9P4/Chakravarty et al. - 2019 - Behavioural compass Animal behaviour recognition using magnetometers.pdf}
}

@article{chakravartyNovelBiomechanicalApproach2019,
  title = {A Novel Biomechanical Approach for Animal Behaviour Recognition Using Accelerometers},
  author = {Chakravarty, Pritish and Cozzi, Gabriele and Ozgul, Arpat and Aminian, Kamiar},
  date = {2019},
  journaltitle = {Methods in Ecology and Evolution},
  volume = {2019},
  pages = {802--814},
  issn = {2041210X},
  doi = {10.1111/2041-210X.13172},
  abstract = {Data from animal-borne inertial sensors are widely used to investigate several aspects of an animal's life, such as energy expenditure, daily activity patterns and behaviour. Accelerometer data used in conjunction with machine learning algorithms have been the tool of choice for characterising animal behaviour. Although machine learning models perform reasonably well, they may not rely on meaningful features, nor lend themselves to physical interpretation of the classification rules. This lack of interpretability and control over classification outcomes is of particular concern where different behaviours have different frequency of occurrence and duration, as in most natural systems, and calls for the development of alternative methods. Biomechanical approaches to human activity classification could overcome these shortcomings, yet their full potential remains untapped for animal studies. We propose a general framework for behaviour recognition using accelerometers, and develop a hybrid model where (a) biomechanical features characterise movement dynamics, and (b) a node-based hierarchical classification scheme employs simple machine learning algorithms at each node to find feature-value thresholds separating different behaviours. Using triaxial accelerometer data collected on 10 wild Kalahari meerkats, and annotated video recordings of each individual as groundtruth, this hybrid model was validated in three scenarios: (a) when each behaviour was equally represented (EQDIST), (b) when naturally imbalanced datasets were considered (STRAT) and (c) when data from new individuals were considered (LOIO). A linear-kernel Support Vector Machine at each node of our classification scheme yielded an overall accuracy of \{\$\textbackslash textgreater\$\}95\% for each scenario. Our hybrid approach had a 2.7\% better average overall accuracy than top-performing classical machine learning approaches. Further, we showed that not all models with high overall accuracy returned accurate behaviour-specific performance, and good performance during EQDIST did not always generalise to STRAT and LOIO. Our hybrid model took advantage of robust machine learning algorithms for automatically estimating decision boundaries between behavioural classes. This not only achieved high classification performance but also permitted biomechanical interpretation of classification outcomes. The framework presented here provides the flexibility to adapt models to required levels of behavioural resolution, and has the potential to facilitate meaningful model sharing between studies.},
  issue = {February},
  keywords = {accelerometer,animal behaviour recognition,biomechanics,machine learning,meerkat,movement intensity,movement periodicity,posture},
  file = {/home/fbence/Zotero/storage/DUMJ3HFE/Chakravarty et al. - 2019 - A novel biomechanical approach for animal behaviour recognition using accelerometers.docx;/home/fbence/Zotero/storage/YBF6GDCQ/Chakravarty et al. - 2019 - A novel biomechanical approach for animal behaviour recognition using accelerometers.pdf}
}

@article{chambersDeepLearningClassification,
  title = {Deep Learning Classification of Canine Behavior Using a Single Collar-Mounted 2 Accelerometer: {{Real-world}} Validation},
  author = {Chambers, Robert D and Yoder, Nathanael C and Carson, Aletha B and Junge, Christian and Allen, David E and Prescott, Laura M and Bradley, Sophie and Wymore, Garrett and Lloyd, Kevin and Lyle, Scott},
  doi = {10.1101/2020.12.14.422660},
  url = {https://doi.org/10.1101/2020.12.14.422660},
  isbn = {10.1101/2020.12.1},
  file = {/home/fbence/Zotero/storage/4H5GI6FK/Chambers et al. - Unknown - Deep learning classification of canine behavior using a single collar-mounted 2 accelerometer Real-world val.pdf}
}

@article{cheethamHumanLikenessDimension2011,
  title = {The Human Likeness Dimension of the “Uncanny Valley Hypothesis”: Behavioral and Functional {{MRI}} Findings},
  author = {Cheetham, Marcus},
  date = {2011-11},
  journaltitle = {Frontiers in Human Neuroscience},
  volume = {5},
  pages = {126},
  publisher = {{Frontiers Media SA}},
  issn = {1662-5161},
  doi = {10.3389/fnhum.2011.00126},
  url = {www.frontiersin.org},
  abstract = {The uncanny valley hypothesis (Mori, 1970) predicts differential experience of negative and positive affect as a function of human likeness. Affective experience of humanlike robots and computer-generated characters (avatars) dominates "uncanny" research, but findings are inconsistent. Importantly, it is unknown how objects are actually perceived along the hypothesis' dimension of human likeness (DOH), defined in terms of human physical similarity. To examine whether the DOH can also be defined in terms of effects of categorical perception (CP), stimuli from morph continua with controlled differences in physical human likeness between avatar and human faces as endpoints were presented. Two behavioral studies found a sharp category boundary along the DOH and enhanced visual discrimination (i.e., CP) of fine-grained differences between pairs of faces at the category boundary. Discrimination was better for face pairs presenting category change in the human-to-avatar than avatar-to-human direction along the DOH. To investigate brain representation of physical change and category change along the DOH, an event-related functional magnetic resonance imaging study used the same stimuli in a pair-repetition priming paradigm. Bilateral mid-fusiform areas and a different right mid-fusiform area were sensitive to physical change within the human and avatar categories, respectively, whereas entirely different regions were sensitive to the human-to-avatar (caudate head, putamen, thalamus, red nucleus) and avatar-to-human (hippocampus, amygdala, mid-insula) direction of category change. These findings show that Mori's DOH definition does not reflect subjective perception of human likeness and suggest that future "uncanny" studies consider CP and the DOH's category structure in guiding experience of non-human objects.},
  keywords = {avatar,categorical perception,fMRI,human likeness,uncanny valley,virtual reality},
  file = {/home/fbence/Zotero/storage/J2L5LT5V/Cheetham - 2011 - The human likeness dimension of the “uncanny valley hypothesis” behavioral and functional MRI findings.pdf}
}

@article{chenCrossingUncannyValley2010,
  title = {Crossing the 'Uncanny Valley': {{Adaptation}} to Cartoon Faces Can Influence Perception of Human Faces},
  author = {Chen, Haiwen and Russell, Richard and Nakayama, Ken},
  date = {2010-01},
  journaltitle = {Perception},
  volume = {39},
  number = {3},
  eprint = {20465173},
  eprinttype = {pmid},
  pages = {378--386},
  publisher = {{SAGE PublicationsSage UK: London, England}},
  issn = {03010066},
  doi = {10.1068/p6492},
  url = {https://journals.sagepub.com/doi/10.1068/p6492},
  abstract = {In this study we assessed whether there is a single face space common to both human and cartoon faces by testing whether adaptation to cartoon faces can affect perception of human faces. Participants were shown Japanese animation cartoon videos containing faces with abnormally large eyes. The use of animated videos eliminated the possibility of position-dependent retinotopic adaptation (because the faces appear at many different locations) and more closely simulated naturalistic exposure. Adaptation to cartoon faces with large eyes significantly shifted preferences for human faces toward larger eyes, consistent with a common, non-retinotopic representation for both cartoon and human faces. This supports the possibility that there are representations that are specific to faces yet common to all kinds of faces. © 2010 a Pion publication.},
  file = {/home/fbence/Zotero/storage/R4UU7NNI/Chen, Russell, Nakayama - 2010 - Crossing the 'uncanny valley' Adaptation to cartoon faces can influence perception of human faces.pdf}
}

@article{chenLeveragingShannonEntropy2018,
  title = {Leveraging {{Shannon}} Entropy to Validate the Transition between {{ICD-10}} and {{ICD-11}}},
  author = {Chen, Donghua and Zhang, Runtong and Zhu, Xiaomin},
  date = {2018},
  journaltitle = {Entropy},
  volume = {20},
  number = {10},
  pages = {1--16},
  issn = {10994300},
  doi = {10.3390/e20100759},
  abstract = {This study aimed to propose a mapping framework with entropy-based metrics for validating the effectiveness of the transition between International Classification of Diseases 10th revision (ICD-10)-coded datasets and a new context of ICD-11. Firstly, we used tabular lists and mapping tables of ICD-11 to establish the framework. Then, we leveraged Shannon entropy to propose validation methods to evaluate information changes during the transition from the perspectives of single-code, single-disease, and multiple-disease datasets. Novel metrics, namely, standardizing rate (SR), uncertainty rate (UR), and information gain (IG), were proposed for the validation. Finally, validation results from an ICD-10-coded dataset with 377,589 records indicated that the proposed metrics reduced the complexity of transition evaluation. The results with the SR in the transition indicated that approximately 60\% of the ICD-10 codes in the dataset were unable to map the codes to standard ICD-10 codes released by WHO. The validation results with the UR provided 86.21\% of the precise mapping. Validation results of the IG in the dataset, before and after the transition, indicated that approximately 57\% of the records tended to increase uncertainty when mapped from ICD-10 to ICD-11. The new features of ICD-11 involved in the transition can promote a reliable and effective mapping between two coding systems.},
  keywords = {ICD-10,ICD-11,Shannon entropy,Transition,Validation},
  file = {/home/fbence/Zotero/storage/YGPB4M7V/Chen, Zhang, Zhu - 2018 - Leveraging Shannon entropy to validate the transition between ICD-10 and ICD-11.pdf}
}

@article{chimientiUseUnsupervisedLearning2016,
  title = {The Use of an Unsupervised Learning Approach for Characterizing Latent Behaviors in Accelerometer Data},
  author = {Chimienti, Marianna and Cornulier, Thomas and Owen, Ellie and Bolton, Mark and Davies, Ian M. and Travis, Justin M.J. and Scott, Beth E.},
  date = {2016},
  journaltitle = {Ecology and Evolution},
  volume = {6},
  number = {3},
  pages = {727--741},
  issn = {20457758},
  doi = {10.1002/ece3.1914},
  abstract = {The recent increase in data accuracy from high resolution accelerometers offers substantial potential for improved understanding and prediction of animal movements. However, current approaches used for analysing these multivariable datasets typically require existing knowledge of the behaviors of the animals to inform the behavioral classification process. These methods are thus not well-suited for the many cases where limited knowledge of the different behaviors performed exist. Here, we introduce the use of an unsupervised learning algorithm. To illustrate the method's capability we analyse data collected using a combination of GPS and Accelerometers on two seabird species: razorbills (Alca torda) and common guillemots (Uria aalge). We applied the unsupervised learning algorithm Expectation Maximization to characterize latent behavioral states both above and below water at both individual and group level. The application of this flexible approach yielded significant new insights into the foraging strategies of the two study species, both above and below the surface of the water. In addition to general behavioral modes such as flying, floating, as well as descending and ascending phases within the water column, this approach allowed an exploration of previously unstudied and important behaviors such as searching and prey chasing/capture events. We propose that this unsupervised learning approach provides an ideal tool for the systematic analysis of such complex multivariable movement data that are increasingly being obtained with accelerometer tags across species. In particular, we recommend its application in cases where we have limited current knowledge of the behaviors performed and existing supervised learning approaches may have limited utility.},
  keywords = {Accelerometer data,Animal movements,Behavioral classification,Unsupervised learning},
  file = {/home/fbence/Zotero/storage/XYPUJ2CP/Chimienti et al. - 2016 - The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data.pdf}
}

@article{ciechanowskiShadesUncannyValley2019,
  title = {In the Shades of the Uncanny Valley: {{An}} Experimental Study of Human–Chatbot Interaction},
  author = {Ciechanowski, Leon and Przegalinska, Aleksandra and Magnuski, Mikolaj and Gloor, Peter},
  date = {2019-03},
  journaltitle = {Future Generation Computer Systems},
  volume = {92},
  pages = {539--548},
  publisher = {{Elsevier B.V.}},
  issn = {0167739X},
  doi = {10.1016/j.future.2018.01.055},
  abstract = {This project has been carried out in the context of recent major developments in botics and more widespread usage of virtual agents in personal and professional sphere. The general purpose of the experiment was to thoroughly examine the character of the human–non-human interaction process. Thus, in the paper, we present a study of human–chatbot interaction, focusing on the affective responses of users to different types of interfaces with which they interact. The experiment consisted of two parts: measurement of psychophysiological reactions of chatbot users and a detailed questionnaire that focused on assessing interactions and willingness to collaborate with a bot. In the first quantitative stage, participants interacted with a chatbot, either with a simple text chatbot (control group) or an avatar reading its responses in addition to only presenting them on the screen (experimental group. We gathered the following psychophysiological data from participants: electromyography (EMG), respirometer (RSP), electrocardiography (ECG), and electrodermal activity (EDA). In the last, declarative stage, participants filled out a series of questionnaires related to the experience of interacting with (chat)bots and to the overall human–(chat)bot collaboration assessment. The theory of planned behaviour survey investigated attitude towards cooperation with chatbots in the future. The social presence survey checked how much the chatbot was considered to be a “real” person. The anthropomorphism scale measured the extent to which the chatbot seems humanlike. Our particular focus was on the so-called uncanny valley effect, consisting of the feeling of eeriness and discomfort towards a given medium or technology that frequently appears in various kinds of human–machine interactions. Our results show that participants were experiencing lesser uncanny effects and less negative affect in cooperation with a simpler text chatbot than with the more complex, animated avatar chatbot. The simple chatbot have also induced less intense psychophysiological reactions. Despite major developments in botics, the user's affective responses towards bots have frequently been neglected. In our view, understanding the user's side may be crucial for designing better chatbots in the future and, thus, can contribute to advancing the field of human–computer interaction.},
  keywords = {Affective computing,Chatbots,Human–computer interaction,Psychophysiology,Uncanny valley},
  file = {/home/fbence/Zotero/storage/NKCUFRQA/Ciechanowski et al. - 2019 - In the shades of the uncanny valley An experimental study of human–chatbot interaction.pdf}
}

@article{clarkeAutomatedMonitoringResting2016,
  title = {Automated Monitoring of Resting in Dogs},
  author = {Clarke, Nancy and Fraser, David},
  date = {2016-01},
  journaltitle = {Applied Animal Behaviour Science},
  volume = {174},
  pages = {99--102},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S0168159115003238 https://www.sciencedirect.com/science/article/abs/pii/S0168159115003238},
  abstract = {Dogs may be deprived of adequate rest in certain environments such as noisy shelters or kennels. Accelerometers have been used to assess gross activity in dogs, but do not appear to distinguish simple inactivity from the prone, head-down recumbency that typifies sustained rest in the species. We tested the use of collar-mounted data loggers that record changes in tilt in 3 dimensions for monitoring head-down recumbency. Twelve dogs were studied using both video-recording and data loggers for a total of 36h, with behaviour recorded every 10s. From the video-recordings, dogs were coded as “resting” during a given minute if they were in head-down recumbency on all six observations in the minute, or “active” otherwise. With the criterion that rest was indicated when mean tilt change in a minute was ≤10°, the data loggers correctly identified active and resting minutes in 87±2 per cent (mean±SE) of minutes recorded. Thresholds of 8 and 12° were nearly as accurate whereas the other thresholds tested (2, 4, 6 and 14°) were less accurate. For two dogs the accuracy was lower (70 and 79\%) because their unusual restless movements while recumbent often exceeded the 10° threshold. Receiver Operating Characteristic (ROC) analysis also showed the best performance (Sensitivity 0.88, Specificity 0.81) at a 10° threshold. We conclude that the tilt feature of the collar-mounted data loggers provides a reasonably accurate and efficient means of identifying head-down recumbency in domestic dogs but accuracy is reduced in dogs that are unusually restless while recumbent.},
  file = {/home/fbence/Zotero/storage/7DGYDGXF/Clarke, Fraser - 2016 - Automated monitoring of resting in dogs.pdf}
}

@article{collinsInterpretingBehaviorsAccelerometry2015,
  title = {Interpreting Behaviors from Accelerometry: {{A}} Method Combining Simplicity and Objectivity},
  author = {Collins, Philip M. and Green, Jonathan A. and Warwick-Evans, Victoria and Dodd, Stephen and Shaw, Peter J.A. and Arnould, John P.Y. and Halsey, Lewis G.},
  date = {2015},
  journaltitle = {Ecology and Evolution},
  volume = {5},
  number = {20},
  pages = {4642--4654},
  issn = {20457758},
  doi = {10.1002/ece3.1660},
  abstract = {© 2015 The Authors. Quantifying the behavior of motile, free-ranging animals is difficult. The accelerometry technique offers a method for recording behaviors but interpretation of the data is not straightforward. To date, analysis of such data has either involved subjective, study-specific assignments of behavior to acceleration data or the use of complex analyses based on machine learning. Here, we present a method for automatically classifying acceleration data to represent discrete, coarse-scale behaviors. The method centers on examining the shape of histograms of basic metrics readily derived from acceleration data to objectively determine threshold values by which to separate behaviors. Through application of this method to data collected on two distinct species with greatly differing behavioral repertoires, kittiwakes, and humans, the accuracy of this approach is demonstrated to be very high, comparable to that reported for other automated approaches already published. The method presented offers an alternative to existing methods as it uses biologically grounded arguments to distinguish behaviors, it is objective in determining values by which to separate these behaviors, and it is simple to implement, thus making it potentially widely applicable. The R script coding the method is provided.},
  keywords = {Accelerometer,Behavior,Data logger,Human,Kittiwake,Objective,Simple},
  file = {/home/fbence/Zotero/storage/IUKNX6HU/Collins et al. - 2015 - Interpreting behaviors from accelerometry A method combining simplicity and objectivity.pdf}
}

@article{congMultiStageClassification2018,
  title = {Multi Stage {{Classification}} for {{Cow Behavior}}},
  author = {Cong, Phung and Khanh, Phi},
  date = {2018},
  doi = {10.1109/SIG℡COM.2018.8325774},
  isbn = {9781538629765},
  issue = {January},
  keywords = {cow},
  file = {/home/fbence/Zotero/storage/XU5GSAMQ/Cong, Khanh - 2018 - Multi stage Classification for Cow Behavior.pdf}
}

@article{conroyChangesDistributionHIV2010,
  title = {Changes in the Distribution of {{HIV}} Type 1 Subtypes {{D}} and {{A}} in {{Rakai District}}, {{Uganda}} between 1994 and 2002},
  author = {Conroy, Samantha A and Laeyendecker, Oliver and Redd, Andrew D and Collinson-Streng, Aleisha and Kong, Xiangrong and Makumbi, Fredrick and Lutalo, Tom and Sewankambo, Nelson and Kiwanuka, Noah and Gray, Ronald H and {Others}},
  date = {2010},
  journaltitle = {AIDS research and human retroviruses},
  volume = {26},
  number = {10},
  pages = {1087--1091},
  publisher = {{Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA}}
}

@article{cowenSelfreportCaptures272017,
  title = {Self-Report Captures 27 Distinct Categories of Emotion Bridged by Continuous Gradients},
  author = {Cowen, Alan S. and Keltner, Dacher},
  date = {2017-09},
  journaltitle = {Proceedings of the National Academy of Sciences of the United States of America},
  volume = {114},
  number = {38},
  eprint = {28874542},
  eprinttype = {pmid},
  pages = {E7900--E7909},
  publisher = {{National Academy of Sciences}},
  issn = {10916490},
  doi = {10.1073/pnas.1702247114},
  url = {https://www.pnas.org/content/114/38/E7900 https://www.pnas.org/content/114/38/E7900.abstract},
  abstract = {Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic terms. Claims about the distribution of reported emotional states and the boundaries between emotion categories—that is, the geometric organization of the semantic space of emotion—have sparked intense debate. Here we introduce a conceptual framework to analyze reported emotional states elicited by 2,185 short videos, examining the richest array of reported emotional experiences studied to date and the extent to which reported experiences of emotion are structured by discrete and dimensional geometries. Across self-report methods, we find that the videos reliably elicit 27 distinct varieties of reported emotional experience. Further analyses revealed that categorical labels such as amusement better capture reports of subjective experience than commonly measured affective dimensions (e.g., valence and arousal). Although reported emotional experiences are represented within a semantic space best captured by categorical labels, the boundaries between categories of emotion are fuzzy rather than discrete. By analyzing the distribution of reported emotional states we uncover gradients of emotion—from anxiety to fear to horror to disgust, calmness to aesthetic appreciation to awe, and others—that correspond to smooth variation in affective dimensions such as valence and dominance. Reported emotional states occupy a complex, high-dimensional categorical space. In addition, our library of videos and an interactive map of the emotional states they elicit (https://s3-us-west-1.amazonaws.com/emogifs/map.html) are made available to advance the science of emotion.},
  keywords = {Dimensions,Discrete emotion,Emotional experience,Semantic space},
  file = {/home/fbence/Zotero/storage/ZXEBHZ52/Cowen, Keltner - 2017 - Self-report captures 27 distinct categories of emotion bridged by continuous gradients.pdf}
}

@article{craccoCulturalPressureBiased2020,
  title = {Cultural Pressure and Biased Responding in Free Will Attitudes},
  author = {Cracco, Emiel and González-García, Carlos and Hussey, Ian and Braem, Senne and Wisniewski, David},
  date = {2020-08},
  journaltitle = {Royal Society Open Science},
  volume = {7},
  number = {8},
  pages = {191824},
  publisher = {{The Royal Society}},
  issn = {2054-5703},
  doi = {10.1098/rsos.191824},
  url = {https://royalsocietypublishing.org/doi/abs/10.1098/rsos.191824},
  abstract = {Whether you believe free will exists has profound effects on your behaviour, across different levels of processing, from simple motor action to social cognition. It is therefore important to understand which specific lay theories are held in the general public and why. Past research largely focused on investigating free will beliefs (FWB, ‘Do you think free will exists?'), but largely ignored a second key aspect: free will attitudes (FWA, ‘Do you like/value will?'). Attitudes are often independently predictive of behaviour, relative to beliefs, yet we currently know very little about FWAs in the general public. One key issue is whether such attitudes are subject to biased, socially desirable responding. The vast majority of the general public strongly believes in the existence of free will, which might create cultural pressure to value free will positively as well. In this registered report, we used a very large ( N = 1100), open available dataset measuring implicit and explicit attitudes towards free will and determinism to address this issue. Our results indicate that both explicit and implicit attitudes towards free will are more positive than attitudes towards determinism. We also show that people experience cultural pressure to value free will, and to devalue determinism. Yet, we found no strong evidence that this cultural pressure affected either implicit or explicit attitudes in this dataset.},
  keywords = {attitudes,beliefs,determinism,experimental philosophy,open science,Subject Category: Psychology and cognitive neuroscience Subject Areas: behaviour/psychology Keywords: free will},
  file = {/home/fbence/Zotero/storage/V5I4X68D/Cracco et al. - 2020 - Cultural pressure and biased responding in free will attitudes.pdf}
}

@article{davidlusseauEmergenceUnsharedConsensus2009,
  title = {The {{Emergence}} of {{Unshared Consensus Decisions}} in {{Bottlenose Dolphins}}},
  author = {David Lusseau, Larissa Conradt},
  date = {2009},
  journaltitle = {Behavioral Ecology and Sociobiology},
  volume = {63},
  number = {7},
  eprint = {40295396},
  eprinttype = {jstor},
  pages = {1067--1077},
  publisher = {{Springer}},
  issn = {03405443, 14320762},
  abstract = {Unshared consensus decision-making processes, in which one or a small number of individuals make the decision for the rest of a group, are rarely documented. However, this mechanism can be beneficial for all group members when one individual has greater knowledge about the benefits of the decision than other group members. Such decisions are reached during certain activity shifts within the population of bottlenose dolphins residing in Doubtful Sound, New Zealand. Behavioral signals are performed by one individual and seem to precipitate shifts in the behavior of the entire group: males perform side flops and initiate traveling bouts while females perform upside-down lobtails and terminate traveling bouts. However, these signals are not observed at all activity shifts. We find that, while side flops were performed by males that have greater knowledge than other male group members, this was not the case for females performing upside-down lobtails. The reason for this could have been that a generally high knowledge about the optimal timing of travel terminations rendered it less important which individual female made the decision.}
}

@article{dellantonioSensingAlivenessHypothesis2012,
  title = {Sensing {{Aliveness}}: {{An Hypothesis}} on the {{Constitution}} of the {{Categories}} '{{Animate}}' and '{{Inanimate}}'},
  author = {Dellantonio, Sara and Innamorati, Marco and Pastore, Luigi},
  date = {2012-10},
  journaltitle = {Integrative Psychological and Behavioral Science},
  volume = {46},
  number = {2},
  pages = {172--195},
  publisher = {{Springer New York LLC}},
  issn = {19363567},
  doi = {10.1007/s12124-011-9186-3},
  url = {https://link.springer.com/article/10.1007/s12124-011-9186-3},
  abstract = {This study examines whether the categories animate/inanimate might be formed on the basis of information available to the cognitive system. We suggest that the discrimination of percepts according to these categories relies on proprioceptive information, which allows the perceiving subject to know that he is 'animate'. Since other 'objects' in the world exhibit movements, reactions, etc. similar to those that the subject experiences himself, he can 'project' his knowledge onto these objects and recognize them as 'animate' like himself. On this basis we try to corroborate the empricist position in the debate concerning the organization of knowledge as opposed to the nativist view. Furthermore, we argue that the categorical dichotomy animate/inanimate is more basic than other analogous ones such as living/non-living, biological/non-biological and we sketch a 'categorical stratification' following the line 'humans-animals-plants' based on the hypothesis that humans detect different degrees of 'vitality' according to the degree of similarity they recognise between the considered instance and themselves. © 2011 Springer Science+Business Media, LLC.},
  keywords = {animate/inanimate,Categories,Empiricism,Nativism,Phenomenology,Proprioception}
}

@article{delrosarioLearningOrientationLooselyFixed2019,
  title = {Learning the {{Orientation}} of a {{Loosely-Fixed Wearable IMU Relative}} to the {{Body Improves}} the {{Recognition Rate}} of {{Human Postures}} and {{Activities}}},
  author = {Del Rosario, Michael B. Del and Lovell, Nigel H. and Redmond, Stephen J.},
  date = {2019-06},
  journaltitle = {Sensors},
  volume = {19},
  number = {13},
  pages = {2845},
  publisher = {{MDPI AG}},
  issn = {1424-8220},
  doi = {10.3390/s19132845},
  url = {https://www.mdpi.com/1424-8220/19/13/2845},
  abstract = {\textbackslash textlessp\textbackslash textgreaterFeatures were developed which accounted for the changing orientation of the inertial measurement unit (IMU) relative to the body, and demonstrably improved the performance of models for human activity recognition (HAR). The method is proficient at separating periods of standing and sedentary activity (i.e., sitting and/or lying) using only one IMU, even if it is arbitrarily oriented or subsequently re-oriented relative to the body; since the body is upright during walking, learning the IMU orientation during walking provides a reference orientation against which sitting and/or lying can be inferred. Thus, the two activities can be identified (irrespective of the cohort) by analyzing the magnitude of the angle of shortest rotation which would be required to bring the upright direction into coincidence with the average orientation from the most recent 2.5 s of IMU data. Models for HAR were trained using data obtained from a cohort of 37 older adults (83.9 ± 3.4 years) or 20 younger adults (21.9 ± 1.7 years). Test data were generated from the training data by virtually re-orienting the IMU so that it is representative of carrying the phone in five different orientations (relative to the thigh). The overall performance of the model for HAR was consistent whether the model was trained with the data from the younger cohort, and tested with the data from the older cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.782, 0.793]; total class sensitivity 95\% confidence interval [84.9\%, 85.6\%]), or the reciprocal scenario in which the model was trained with the data from the older cohort, and tested with the data from the younger cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.765, 0.784]; total class sensitivity 95\% confidence interval [82.3\%, 83.7\%]).\textbackslash textless/p\textbackslash textgreater},
  keywords = {Feature engineering,Human activity recognition,Quaternion,Sensor fusion,Smartphone},
  file = {/home/fbence/Zotero/storage/2X2HRVEL/Del Rosario, Lovell, Redmond - 2019 - Learning the Orientation of a Loosely-Fixed Wearable IMU Relative to the Body Improves the Recogni.pdf}
}

@article{delrosarioLearningOrientationLooselyfixed2019,
  title = {Learning the Orientation of a Loosely-Fixed Wearable {{IMU}} Relative to the Body Improves the Recognition Rate of Human Postures and Activities},
  author = {Del Rosario, Michael B. and Lovell, Nigel H. and Redmond, Stephen J.},
  date = {2019},
  journaltitle = {Sensors (Switzerland)},
  volume = {19},
  number = {13},
  issn = {14248220},
  doi = {10.3390/s19132845},
  abstract = {Features were developed which accounted for the changing orientation of the inertial measurement unit (IMU) relative to the body, and demonstrably improved the performance of models for human activity recognition (HAR). The method is proficient at separating periods of standing and sedentary activity (i.e., sitting and/or lying) using only one IMU, even if it is arbitrarily oriented or subsequently re-oriented relative to the body; since the body is upright during walking, learning the IMU orientation during walking provides a reference orientation against which sitting and/or lying can be inferred. Thus, the two activities can be identified (irrespective of the cohort) by analyzing the magnitude of the angle of shortest rotation which would be required to bring the upright direction into coincidence with the average orientation from the most recent 2.5 s of IMU data. Models for HAR were trained using data obtained from a cohort of 37 older adults (83.9 ± 3.4 years) or 20 younger adults (21.9 ± 1.7 years). Test data were generated from the training data by virtually re-orienting the IMU so that it is representative of carrying the phone in five different orientations (relative to the thigh). The overall performance of the model for HAR was consistent whether the model was trained with the data from the younger cohort, and tested with the data from the older cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.782, 0.793]; total class sensitivity 95\% confidence interval [84.9\%, 85.6\%]), or the reciprocal scenario in which the model was trained with the data from the older cohort, and tested with the data from the younger cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.765, 0.784]; total class sensitivity 95\% confidence interval [82.3\%, 83.7\%]).},
  keywords = {Feature engineering,Human activity recognition,Quaternion,Sensor fusion,Smartphone},
  file = {/home/fbence/Zotero/storage/PT83ARCP/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf}
}

@article{deweerdDerivingAnimalBehaviour2015,
  title = {Deriving Animal Behaviour from High-Frequency {{GPS}}: {{Tracking}} Cows in Open and Forested Habitat},
  author = {De Weerd, Nelleke and Van Langevelde, Frank and Van Oeveren, Herman and Nolet, Bart A. and Kölzsch, Andrea and Prins, Herbert H.T. and De Boer, W. Fred},
  date = {2015},
  journaltitle = {PLoS ONE},
  volume = {10},
  number = {6},
  pages = {1--17},
  issn = {19326203},
  doi = {10.1371/journal.pone.0129030},
  abstract = {The increasing spatiotemporal accuracy of Global Navigation Satellite Systems (GNSS) tracking systems opens the possibility to infer animal behaviour from tracking data. We studied the relationship between high-frequency GNSS data and behaviour, aimed at developing an easily interpretable classification method to infer behaviour from location data. Behavioural observations were carried out during tracking of cows (Bos Taurus) fitted with high-frequency GPS (Global Positioning System) receivers. Data were obtained in an open field and forested area, and movement metrics were calculated for 1 min, 12 s and 2 s intervals. We observed four behaviour types (Foraging, Lying, Standing and Walking). We subsequently used Classification and Regression Trees to classify the simultaneously obtained GPS data as these behaviour types, based on distances and turning angles between fixes. GPS data with a 1 min interval from the open field was classified correctly for more than 70\% of the samples. Data from the 12 s and 2 s interval could not be classified successfully, emphasizing that the interval should be long enough for the behaviour to be defined by its characteristic movement metrics. Data obtained in the forested area were classified with a lower accuracy (57\%) than the data from the open field, due to a larger positional error of GPS locations and differences in behavioural performance influenced by the habitat type. This demonstrates the importance of understanding the relationship between behaviour and movement metrics, derived from GNSS fixes at different frequencies and in different habitats, in order to successfully infer behaviour. When spatially accurate location data can be obtained, behaviour can be inferred from high-frequency GNSS fixes by calculating simple movement metrics and using easily interpretable decision trees. This allows for the combined study of animal behaviour and habitat use based on location data, and might make it possible to detect deviations in behaviour at the individual level.},
  file = {/home/fbence/Zotero/storage/PDKY5MPP/De Weerd et al. - 2015 - Deriving animal behaviour from high-frequency GPS Tracking cows in open and forested habitat.pdf}
}

@article{dickensFacilitatingEmergenceComplex2012,
  title = {Facilitating {{Emergence}}: {{Complex}}, {{Adaptive Systems Theory}} and the {{Shape}} of {{Change}}},
  author = {Dickens, Peter Martin},
  date = {2012}
}

@article{dickensFacilitatingEmergenceComplex2012a,
  title = {Facilitating {{Emergence}}: {{Complex}}, {{Adaptive Systems Theory}} and the {{Shape}} of {{Change}}},
  author = {Dickens, Peter},
  date = {2012},
  journaltitle = {Dissertations \& Theses},
  url = {http://aura.antioch.edu/etds/114}
}

@article{dickieFasterFartherWolf2017,
  title = {Faster and Farther: Wolf Movement on Linear Features and Implications for Hunting Behaviour},
  author = {Dickie, Melanie and Serrouya, Robert and McNay, R. Scott and Boutin, Stan},
  editor = {du Toit, Johan},
  options = {useprefix=true},
  date = {2017-02},
  journaltitle = {Journal of Applied Ecology},
  volume = {54},
  number = {1},
  pages = {253--263},
  issn = {00218901},
  doi = {10.1111/1365-2664.12732},
  url = {http://doi.wiley.com/10.1111/1365-2664.12732},
  keywords = {Canis lupus,functional response,kill rates,linear features,movement,oil and gas,predation,Rangifer tarandus,search rate,selection}
}

@article{dickinsonBestPracticeCollar2020,
  title = {Best Practice for Collar Deployment of Tri-Axial Accelerometers on a Terrestrial Quadruped to Provide Accurate Measurement of Body Acceleration},
  author = {Dickinson, E.R. and Stephens, P.A. and Marks, N.J. and Wilson, R.P. and Scantlebury, D.M.},
  date = {2020},
  journaltitle = {Animal Biotelemetry},
  volume = {8},
  number = {1},
  publisher = {{Springer Nature}},
  issn = {20503385},
  doi = {10.1186/s40317-020-00198-9},
  abstract = {© 2020 The Author(s). Background: Tri-axial accelerometers are frequently deployed on terrestrial quadrupedal mammals using collars, because they are easy to fit and are thought to have minimal impact on the subject. Collar-attached devices are not fixed to the body and can move independently of the body. This may result in inaccurate measures of acceleration, reducing the accuracy of measured body movement. We determined the effect of collar size and collar weight on acceleration measured by a collar-mounted accelerometer on a quadruped mammal. The aim was to suggest best practice for sizes and weights of collars on which to deploy tri-axial accelerometers. Using pygmy goats, Capra aegagrus hircus, which were trained to walk at different speeds (0.8-3.0 km/h) on a treadmill, we measured body acceleration using a collar-mounted tri-axial accelerometer, with different collar sizes (individual neck circumference + 1 cm to + 9 cm) and collar weight (0.4\% to 1.2\% of individual weight). Results: There was a significant effect of collar size, collar weight and walking speed on measured acceleration. Measured acceleration was less accurate and more variable when collars were looser and heavier. To measure body acceleration more accurately, we found that collar size should be within 5 cm or 16\% of an individual's neck circumference when it was heavy (up to 1.2\% of animal's body weight) or within 7 cm (33\%) of neck circumference if the collar was light (up to 0.6\% of animal body weight). Conclusion: We suggest that not only reporting collar size and weight for welfare purposes, but it is also important to consider these aspects for scientific rigour, to ensure data are collected as accurately as possible. We provide guidelines for researchers fitting collar-attached devices to ensure a higher degree of accuracy of recorded body acceleration.}
}

@article{diederichUnderstandingImpactThat2021,
  title = {Understanding the {{Impact}} That {{Response Failure}} Has on {{How Users Perceive Anthropomorphic Conversational Service Agents}}: {{Insights}} from an {{Online Experiment}}},
  author = {Diederich, Stephan and Lembcke, Tim-Benjamin and Brendel, Alfred Benedikt and Kolbe, Lutz M.},
  date = {2021-03},
  journaltitle = {AIS Transactions on Human-Computer Interaction},
  volume = {13},
  number = {1},
  pages = {82--103},
  publisher = {{Association for Information Systems}},
  doi = {10.17705/1thci.00143},
  url = {https://aisel.aisnet.org/thci/vol13/iss1/5},
  keywords = {Anthropomorphic Design,Computers Are Social Actors,Conversational Agent,Theory of the Uncanny Valley},
  file = {/home/fbence/Zotero/storage/GZQ2XRLJ/Diederich et al. - 2021 - Understanding the Impact that Response Failure has on How Users Perceive Anthropomorphic Conversational Servic.pdf}
}

@article{dielCreepyCatsStrange2021,
  title = {Creepy Cats and Strange High Houses: {{Support}} for Configural Processing in Testing Predictions of Nine Uncanny Valley Theories},
  author = {Diel, Alexander and MacDorman, Karl F.},
  date = {2021-04},
  journaltitle = {Journal of Vision},
  volume = {21},
  number = {4},
  eprint = {33792617},
  eprinttype = {pmid},
  pages = {1--20},
  publisher = {{Association for Research in Vision and Ophthalmology Inc.}},
  issn = {15347362},
  doi = {10.1167/jov.21.4.1},
  url = {https://doi.org/10.1167/jov.21.4.1},
  abstract = {In 1970, Masahiro Mori proposed the uncanny valley (UV), a region in a human-likeness continuum where an entity risks eliciting a cold, eerie, repellent feeling. Recent studies have shown that this feeling can be elicited by entities modeled not only on humans but also nonhuman animals. The perceptual and cognitive mechanisms underlying the UV effect are not well understood, although many theories have been proposed to explain them. To test the predictions of nine classes of theories, a within-subjects experiment was conducted with 136 participants. The theories' predictions were compared with ratings of 10 classes of stimuli on eeriness and coldness indices. One type of theory, configural processing, predicted eight out of nine significant effects. Atypicality, in its extended form, in which the uncanny valley effect is amplified by the stimulus appearing more human, also predicted eight. Threat avoidance predicted seven; atypicality, perceptual mismatch, and mismatch+ predicted six; category+, novelty avoidance, mate selection, and psychopathy avoidance predicted five; and category uncertainty predicted three. Empathy's main prediction was not supported. Given that the number of significant effects predicted depends partly on our choice of hypotheses, a detailed consideration of each result is advised. We do, however, note the methodological value of examining many competing theories in the same experiment.},
  keywords = {avoidance behavior,burkina faso,cats,face,ultraviolet rays},
  file = {/home/fbence/Zotero/storage/FRPMUJ6M/Diel, MacDorman - 2021 - Creepy cats and strange high houses Support for configural processing in testing predictions of nine uncanny va.pdf}
}

@article{digiorgioVisualCuesMotion2017,
  title = {Visual Cues of Motion That Trigger Animacy Perception at Birth: The Case of Self-Propulsion},
  author = {Di Giorgio, Elisa and Lunghi, Marco and Simion, Francesca and Vallortigara, Giorgio},
  date = {2017-07},
  journaltitle = {Developmental Science},
  volume = {20},
  number = {4},
  pages = {e12394},
  publisher = {{Blackwell Publishing Ltd}},
  issn = {1363755X},
  doi = {10.1111/desc.12394},
  url = {http://doi.wiley.com/10.1111/desc.12394},
  abstract = {Self-propelled motion is a powerful cue that conveys information that an object is animate. In this case, animate refers to an entity's capacity to initiate motion without an applied external force. Sensitivity to this motion cue is present in infants that are a few months old, but whether this sensitivity is experience-dependent or is already present at birth is unknown. Here, we tested newborns to examine whether predispositions to process self-produced motion cues underlying animacy perception were present soon after birth. We systematically manipulated the onset of motion by self-propulsion (Experiment 1) and the change in trajectory direction in the presence or absence of direct contact with an external object (Experiments 2 and 3) to investigate how these motion cues determine preference in newborns. Overall, data demonstrated that, at least at birth, the self-propelled onset of motion is a crucial visual cue that allowed newborns to differentiate between self- and non-self-propelled objects (Experiment 1) because when this cue was removed, newborns did not manifest any visual preference (Experiment 2), even if they were able to discriminate between the stimuli (Experiment 3). To our knowledge, this is the first study aimed at identifying sensitivity in human newborns to the most basic and rudimentary motion cues that reliably trigger perceptions of animacy in adults. Our findings are compatible with the hypothesis of the existence of inborn predispositions to visual cues of motion that trigger animacy perception in adults.}
}

@article{diosdadoClassificationBehaviourHoused2015,
  title = {Classification of Behaviour in Housed Dairy Cows Using an Accelerometer-Based Activity Monitoring System},
  author = {Diosdado, Jorge A Vázquez and Barker, Zoe E and Hodges, Holly R and Amory, Jonathan R and Croft, Darren P and Bell, Nick J and Codling, Edward A},
  date = {2015},
  journaltitle = {Animal Biotelemetry},
  pages = {1--14},
  publisher = {{Animal Biotelemetry}},
  issn = {2050-3385},
  doi = {10.1186/s40317-015-0045-8},
  url = {http://dx.doi.org/10.1186/s40317-015-0045-8},
  isbn = {4031701500458},
  keywords = {behavioural classification,Behavioural classification,decision-tree algorithm,Decision-tree algorithm,precision livestock farming,reality,tri-axial accelerometer},
  file = {/home/fbence/Zotero/storage/SHH4HC5I/Diosdado et al. - 2015 - Classification of behaviour in housed dairy cows using an accelerometer-based activity monitoring system.pdf}
}

@inproceedings{disalvoAllRobotsAre2002,
  title = {All Robots Are Not Created Equal},
  booktitle = {Proceedings of the Conference on {{Designing}} Interactive Systems Processes, Practices, Methods, and Techniques - {{DIS}} '02},
  author = {DiSalvo, Carl F. and Gemperle, Francine and Forlizzi, Jodi and Kiesler, Sara},
  date = {2002},
  pages = {321},
  publisher = {{ACM Press}},
  location = {{New York, New York, USA}},
  doi = {10.1145/778712.778756},
  url = {http://portal.acm.org/citation.cfm?doid=778712.778756},
  isbn = {1-58113-515-7},
  keywords = {design research,human-robot interaction,interaction design,social robots}
}

@article{downsamProbabilityHeterosexualTransmission1996,
  title = {Probability of Heterosexual Transmission of {{HIV}}: Relationship to the Number of Unprotected Sexual Contacts. {{European Study Group}} in {{Heterosexual Transmission}} of {{HIV}}.},
  author = {{Downs AM} and De Vincenzi, I},
  date = {1996},
  journaltitle = {J Acquir Immune Defic Syndr Hum Retrovirol.},
  volume = {11},
  number = {4},
  pages = {388--395}
}

@article{ebertVirulenceLocalAdaptation1994,
  title = {Virulence and Local Adaptation of a Horizontally Transmitted Parasite},
  author = {Ebert, Dieter and {Others}},
  date = {1994},
  journaltitle = {SCIENCE-NEW YORK THEN WASHINGTON-},
  pages = {1084},
  publisher = {{American Association for the Advancement of Science}}
}

@article{elliottAccelerometryPredictsDaily2012,
  title = {Accelerometry Predicts Daily Energy Expenditure in a Bird with High Activity Levels},
  author = {Elliott, K. H. and Le Vaillant, M. and Kato, A. and Speakman, J. R. and Ropert-Coudert, Y.},
  date = {2012-12},
  journaltitle = {Biology Letters},
  volume = {9},
  number = {1},
  pages = {20120919--20120919},
  publisher = {{The Royal Society}},
  issn = {1744-9561},
  doi = {10.1098/rsbl.2012.0919},
  url = {http://rsbl.royalsocietypublishing.org/cgi/doi/10.1098/rsbl.2012.0919},
  abstract = {Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres (Uria lomvia) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labelled water. Across three different locomotory modes (swimming, flying and movement on land), dynamic body acceleration was a good predictor of daily energy expenditure as measured independently by doubly labelled water (R2 = 0.73). The most parsimonious model suggested that different equations were needed to predict energy expenditure from accelerometry for flying than for surface swimming or activity on land (R2 = 0.81)...},
  keywords = {accelerometer,dynamic body acceleration,field metabolic rate,muscle efficiency,seabird},
  file = {/home/fbence/Zotero/storage/PTCGWFYP/Elliott et al. - 2012 - Accelerometry predicts daily energy expenditure in a bird with high activity levels.pdf}
}

@article{elliottAccelerometryPredictsDaily2012a,
  title = {Accelerometry Predicts Daily Energy Expenditure in a Bird with High Activity Levels},
  author = {Elliott, Kyle H. and Le Vaillant, Maryline and Kato, Akiko and Speakman, John R. and Ropert-Coudert, Yan},
  date = {2012},
  journaltitle = {Biology Letters},
  volume = {9},
  number = {1},
  url = {http://rsbl.royalsocietypublishing.org/content/9/1/20120919.short}
}

@book{erdiComplexityExplained2008,
  title = {Complexity Explained},
  author = {Érdi, Péter.},
  date = {2008},
  publisher = {{Springer}},
  abstract = {This book explains why complex systems research is important in understanding the structure, function and dynamics of complex natural and social phenomena. It illuminates how complex collective behavior emerges from the parts of a system, due to the interaction between the system and its environment. You will learn the basic concepts and methods of complex system research. It is shown that very different complex phenomena of nature and society can be analyzed and understood by nonlinear dynamics since many systems of very different fields, such as physics, chemistry, biology, economics, psychology and sociology etc. have similar architecture. "Complexity Explained" is not highly technical and mathematical, but teaches and uses the basic mathematical notions of dynamical system theory making the book useful for students of science majors and graduate courses, but it should be readable for a more general audience; actually for those, who ask: What complex systems really are? Complex systems : the intellectual landscape – History of complex systems research – From the clockwork world view to irreversibility (and back?) – The dynamic world view in action – The search for laws : deductive versus inductive – Statistical laws : from symmetric to asymmetric – Simple and complex structures : between order and randomness – Complexity of the brain : structure, function and dynamics – From models to decision making – How many cultures we have?},
  isbn = {978-3-540-35777-3},
  pagetotal = {397}
}

@article{faragoSocialBehavioursDogowner2014,
  title = {Social Behaviours in Dog-Owner Interactions Can Serve as a Model for Designing Social Robots},
  author = {Faragó, Tamás and Miklósi, Ádám and Korcsok, Beáta and Száraz, Judit and Gácsi, Márta},
  date = {2014-01},
  journaltitle = {Interaction Studies},
  volume = {15},
  number = {2},
  pages = {143--172},
  publisher = {{John Benjamins}},
  issn = {1572-0381},
  doi = {10.1075/is.15.2.01far},
  url = {http://etologia.elte.hu/file/publikaciok/2014/Faragoetal2014a.pdf http://www.jbe-platform.com/content/journals/10.1075/is.15.2.01far},
  abstract = {It is essential for social robots to fit in the human society. In order to facilitate this process we propose to use the family dog's social behaviour shown towards humans as an inspiration. In this study we explored dogs' low level social monitoring in dog-human interactions and extracted individually consistent and context dependent behaviours in simple everyday social scenarios. We found that proximity seeking and tail wagging were most individually distinctive in dogs, while activity, orientation towards the owner, and exploration were dependent on the context and/or the activity of the owner. The functional analogues of these dog behaviours can be implemented in social robots of different embodiments in order to make them acceptable and more believable for humans.},
  keywords = {dog-owner interaction,greeting behaviour,individually distinctive behaviours,low-level social monitoring,social robotics}
}

@article{faragoWhyDogbehaviourinspiredSocial2014,
  title = {Why Is a Dog-Behaviour-Inspired Social Robot Not a Doggy-Robot?},
  author = {Faragó, Tamás and Gácsi, Márta and Korcsok, Beáta and Miklósi, Ádám},
  date = {2014},
  journaltitle = {Interaction StudiesInteraction Studies Social Behaviour and Communication in Biological and Artificial Systems},
  volume = {15},
  number = {2},
  pages = {224--232},
  issn = {1572-0373},
  doi = {10.1075/is.15.2.11far},
  abstract = {Replies to comments by Gail F. Melson (see record 2014-41524-002); Monica Nicolescu (see record 2014-41524-003); Patrizia Marti (see record 2014-41524-004); Torbjorn S. Dahl (see record 2014-41524-005); David Feil-Seifer (see record 2014-41524-006); Kerstin Fischer (see record 2014-41524-007); Daniel H. Grollman (see record 2014-41524-008); Vicente Matellan and Camino Fernandez (see record 2014-41524-009); and Jekaterina Novikova et al. (see record 2014-41524-010); on the original article by Farago et al. (see record 2014-41524-001) regarding the design of social robots. In the original article we suggested that certain aspects of human-dog interactions (HDI) provide a new and fruitful inspiration for planning human-robot interaction (HRI) in general, for (1) putting the existence of social robots into a functional context, and (2) for constructing and designing the action space of the social robot (for a more extended and general overview of this idea see Miklosi \& Gacsi 2012). Most commentaries on our work agreed, or at least recognised, some relevance of this new approach. In the current response the authors aim to present complementing arguments as to why HDI offers the best potential model for ethologically inspired approaches in HRI studies and to provide solutions for many (but not necessarily all) problems. (PsycINFO Database Record (c) 2016 APA, all rights reserved)}
}

@article{farineIndividualVariationLocal2017,
  title = {Individual Variation in Local Interaction Rules Can Explain Emergent Patterns of Spatial Organization in Wild Baboons},
  author = {Farine, D. R. and Strandburg-Peshkin, A. and Couzin, I. D. and Berger-Wolf, T. Y. and Crofoot, M. C.},
  date = {2017},
  journaltitle = {Proceedings of the Royal Society of London B: Biological Sciences},
  volume = {284},
  number = {1853},
  url = {http://rspb.royalsocietypublishing.org/content/284/1853/20162243},
  keywords = {teszt1,teszt2}
}

@article{fedorCognitiveArchitectureEvolutionary2017,
  title = {Cognitive Architecture with Evolutionary Dynamics Solves Insight Problem},
  author = {Fedor, Anna and Zachar, István and Szilágyi, András and {öllinger}, Michael and de Vladar, Harold P. and Szathmáry, Eörs},
  options = {useprefix=true},
  date = {2017},
  journaltitle = {Frontiers in Psychology},
  volume = {8},
  pages = {1--15},
  issn = {16641078},
  doi = {10.3389/fpsyg.2017.00427},
  abstract = {In this paper, we show that a neurally implemented a cognitive architecture with evolutionary dynamics can solve the four-tree problem. Our model, called Darwinian Neurodynamics, assumes that the unconscious mechanism of problem solving during insight tasks is a Darwinian process. It is based on the evolution of patterns that represent candidate solutions to a problem, and are stored and reproduced by a population of attractor networks. In our first experiment, we used human data as a benchmark and showed that the model behaves comparably to humans: it shows an improvement in performance if it is pretrained and primed appropriately, just like human participants in Kershaw et al. (2013)'s experiment. In the second experiment, we further investigated the effects of pretraining and priming in a two-by-two design and found a beginner's luck type of effect: solution rate was highest in the condition that was primed, but not pretrained with patterns relevant for the task. In the third experiment, we showed that deficits in computational capacity and learning abilities decreased the performance of the model, as expected. We conclude that Darwinian Neurodynamics is a promising model of human problem solving that deserves further investigation.},
  issue = {MAR},
  keywords = {Attractor networks,Darwinian Neurodynamics,Evolutionary search,Four-tree problem,Insight},
  file = {/home/fbence/Zotero/storage/6RPHIJFF/Fedor et al. - 2017 - Cognitive architecture with evolutionary dynamics solves insight problem.pdf}
}

@article{feldmanAttributionMentalArchitecture2008,
  title = {The {{Attribution}} of {{Mental Architecture}} from {{Motion}}: {{Towards}} a {{Computational Theory}}},
  author = {Feldman, Jacob and Tremoulet, Patrice D},
  date = {2008},
  journaltitle = {Tech. Rep.},
  abstract = {Recently there has been great interest in how observers attribute mental properties-beliefs, intentions, goals, cognitive capacities, and so forth-to other agents in our environment. In many cases, such attributions are based solely on patterns of motion. For example human observers tend to interpret certain entities as animate (living), and others not, based solely on their motion trajectories, and whether they seem to suggest intentional or goal-driven behavior. In this paper we consider such attributions from a computational point of view, and we ask how information derived solely from observable behaviors might formally support the attribution of a particular computational architecture to a target agent. We develop a mathematical theory of the inference of such an architecture, which we call the attributed mental architecture (AMA). Within the theory, particular mental faculties, such as a perceptual capacity or the possession of a goal, can be characterized mathematically in terms of formal properties on the attributed mental architecture. We give theorems concerning minimal conditions for the inference of particular types of mental faculties, including perceptual capacities, cognitive capacities, and intentionality.},
  keywords = {animacy,computational architecture,goal attribution,intention-ality,mental architecture,mindreading},
  file = {/home/fbence/Zotero/storage/TVKE82JA/Feldman, Tremoulet - 2008 - The Attribution of Mental Architecture from Motion Towards a Computational Theory.pdf}
}

@article{ferdinandyAdatokGyermekkoriTyphus1965,
  title = {Adatok a Gyermekkori Typhus Abdominalis Klinikumához Egy Vizjárvány Folyamám.},
  author = {Ferdinandy, K.},
  date = {1965-09},
  journaltitle = {Orvosi hetilap},
  volume = {106},
  number = {39},
  eprint = {5834046},
  eprinttype = {pmid},
  pages = {1834--1836},
  publisher = {{Orv Hetil}},
  issn = {00306002},
  url = {https://pubmed.ncbi.nlm.nih.gov/5834046/},
  keywords = {Child,Humans,Hungary,K Ferdinandy,MEDLINE,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,NCBI,NIH,NLM,pmid:5834046,PubMed Abstract,Typhoid Fever / epidemiology*,Water Pollution*}
}

@article{ferdinandyChallengesMachineLearning2020,
  title = {Challenges of Machine Learning Model Validation Using Correlated Behaviour Data: {{Evaluation}} of Cross-Validation Strategies and Accuracy Measures},
  author = {Ferdinandy, Bence and Gerencsér, Linda and Corrieri, Luca and Perez, Paula and Újváry, Dóra and Csizmadia, Gábor and Miklósi, Ádám},
  date = {2020-07},
  journaltitle = {PLOS ONE},
  volume = {15},
  number = {7},
  pages = {e0236092},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/JOURNAL.PONE.0236092},
  url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236092},
  abstract = {Automated monitoring of the movements and behaviour of animals is a valuable research tool. Recently, machine learning tools were applied to many species to classify units of behaviour. For the monitoring of wild species, collecting enough data for training models might be problematic, thus we examine how machine learning models trained on one species can be applied to another closely related species with similar behavioural conformation. We contrast two ways to calculate accuracies, termed here as overall and threshold accuracy, because the field has yet to define solid standards for reporting and measuring classification performances. We measure 21 dogs and 7 wolves, and find that overall accuracies are between 51 and 60\% for classifying 8 behaviours (lay, sit, stand, walk, trot, run, eat, drink) when training and testing data are from the same species and between 41 and 51\% when training and testing is cross-species. We show that using data from dogs to predict the behaviour of wolves is feasible. We also show that optimising the model for overall accuracy leads to similar overall and threshold accuracies, while optimizing for threshold accuracy leads to threshold accuracies well above 80\%, but yielding very low overall accuracies, often below the chance level. Moreover, we show that the most common method for dividing the data between training and testing data (random selection of test data) overestimates the accuracy of models when applied to data of new specimens. Consequently, we argue that for the most common goals of animal behaviour recognition overall accuracy should be the preferred metric. Considering, that often the goal is to collect movement data without other methods of observation, we argue that training data and testing data should be divided by individual and not randomly.},
  keywords = {Animal behavior,Body weight,Dogs,Domestic animals,Inertia,Machine learning,Pets and companion animals,Wolves},
  file = {/home/fbence/Zotero/storage/3764RZAQ/Ferdinandy et al. - 2020 - Challenges of machine learning model validation using correlated behaviour data Evaluation of cross-valida(2).pdf}
}

@article{ferdinandyChallengesMachineLearning2020a,
  title = {Challenges of Machine Learning Model Validation Using Correlated Behaviour Data: {{Evaluation}} of Cross-Validation Strategies and Accuracy Measures},
  author = {Ferdinandy, Bence and Gerencsér, Linda and Corrieri, Luca and Perez, Paula and Újváry, Dóra and Csizmadia, Gábor and Miklósi, Ádám},
  editor = {Das, Jishnu},
  date = {2020-07},
  journaltitle = {PLOS ONE},
  volume = {15},
  number = {7},
  pages = {e0236092},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0236092},
  url = {https://dx.plos.org/10.1371/journal.pone.0236092},
  abstract = {Automated monitoring of the movements and behaviour of animals is a valuable research tool. Recently, machine learning tools were applied to many species to classify units of behaviour. For the monitoring of wild species, collecting enough data for training models might be problematic, thus we examine how machine learning models trained on one species can be applied to another closely related species with similar behavioural conformation. We contrast two ways to calculate accuracies, termed here as overall and threshold accuracy, because the field has yet to define solid standards for reporting and measuring classification performances. We measure 21 dogs and 7 wolves, and find that overall accuracies are between 51 and 60\% for classifying 8 behaviours (lay, sit, stand, walk, trot, run, eat, drink) when training and testing data are from the same species and between 41 and 51\% when training and testing is cross-species. We show that using data from dogs to predict the behaviour of wolves is feasible. We also show that optimising the model for overall accuracy leads to similar overall and threshold accuracies, while optimizing for threshold accuracy leads to threshold accuracies well above 80\%, but yielding very low overall accuracies, often below the chance level. Moreover, we show that the most common method for dividing the data between training and testing data (random selection of test data) overestimates the accuracy of models when applied to data of new specimens. Consequently, we argue that for the most common goals of animal behaviour recognition overall accuracy should be the preferred metric. Considering, that often the goal is to collect movement data without other methods of observation, we argue that training data and testing data should be divided by individual and not randomly.},
  keywords = {Animal behavior,Body weight,Dogs,Domestic animals,Inertia,Machine learning,Pets and companion animals,Wolves},
  file = {/home/fbence/Zotero/storage/WE29CRWJ/Ferdinandy et al. - 2020 - Challenges of machine learning model validation using correlated behaviour data Evaluation of cross-validatio.pdf}
}

@article{ferdinandyCollectiveMotionGroups2017,
  title = {Collective Motion of Groups of Self-Propelled Particles Following Interacting Leaders},
  author = {Ferdinandy, B. and Ozogány, K. and Vicsek, T.},
  date = {2017-08},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {479},
  pages = {467--477},
  publisher = {{North-Holland}},
  issn = {0378-4371},
  doi = {10.1016/J.PHYSA.2017.03.025},
  abstract = {In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortobágy, Hungary) which we use as results from a published case study. We find that the model reproduces key features of a herd composed of harems moving on open ground, including fights for followers between leaders and bachelor groups (group of leaders without followers). One of our findings, however, does not agree with the observations. While in our model the emerging group size distribution is normal, the group size distribution of the observed herd based on historical data have been found to follow lognormal distribution. We argue that this indicates that the formation (and the size) of the harems must involve a more complex social topology than simple spatial-distance based interactions.},
  keywords = {Collective motion,Collective motion of groups,Hierarchy,SPP model}
}

@article{ferdinandyCollectiveMotionGroups2017a,
  title = {Collective Motion of Groups of Self-Propelled Particles Following Interacting Leaders},
  author = {Ferdinandy, B. and Ozogány, K. and Vicsek, T.},
  date = {2017-08},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {479},
  pages = {467--477},
  publisher = {{Elsevier B.V.}},
  issn = {03784371},
  doi = {10.1016/j.physa.2017.03.025},
  abstract = {In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortobágy, Hungary) which we use as results from a published case study. We find that the model reproduces key features of a herd composed of harems moving on open ground, including fights for followers between leaders and bachelor groups (group of leaders without followers). One of our findings, however, does not agree with the observations. While in our model the emerging group size distribution is normal, the group size distribution of the observed herd based on historical data have been found to follow lognormal distribution. We argue that this indicates that the formation (and the size) of the harems must involve a more complex social topology than simple spatial-distance based interactions.},
  keywords = {Collective motion,Collective motion of groups,Hierarchy,SPP model},
  annotation = {\_eprint: 1609.03212}
}

@article{ferdinandyCollectiveMotionGroups2017b,
  title = {Collective Motion of Groups of Self-Propelled Particles Following Interacting Leaders},
  author = {Ferdinandy, B. and Ozogány, K. and Vicsek, T.},
  date = {2017-08},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {479},
  pages = {467--477},
  publisher = {{Elsevier B.V.}},
  issn = {03784371},
  doi = {10.1016/j.physa.2017.03.025},
  abstract = {In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortobágy, Hungary) which we use as results from a published case study. We find that the model reproduces key features of a herd composed of harems moving on open ground, including fights for followers between leaders and bachelor groups (group of leaders without followers). One of our findings, however, does not agree with the observations. While in our model the emerging group size distribution is normal, the group size distribution of the observed herd based on historical data have been found to follow lognormal distribution. We argue that this indicates that the formation (and the size) of the harems must involve a more complex social topology than simple spatial-distance based interactions.},
  keywords = {Collective motion,Collective motion of groups,Hierarchy,SPP model},
  annotation = {\_eprint: 1609.03212}
}

@article{ferdinandyCollectiveMotionGroups2017c,
  title = {Collective Motion of Groups of Self-Propelled Particles Following Interacting Leaders},
  author = {Ferdinandy, B. and Ozogány, K. and Vicsek, T.},
  date = {2017},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {479},
  issn = {03784371},
  doi = {10.1016/j.physa.2017.03.025},
  abstract = {© 2017 Elsevier B.V.In order to keep their cohesiveness during locomotion gregarious animals must make collective decisions. Many species boast complex societies with multiple levels of communities. A common case is when two dominant levels exist, one corresponding to leaders and the other consisting of followers. In this paper we study the collective motion of such two-level assemblies of self-propelled particles. We present a model adapted from one originally proposed to describe the movement of cells resulting in a smoothly varying coherent motion. We shall use the terminology corresponding to large groups of some mammals where leaders and followers form a group called a harem. We study the emergence (self-organization) of sub-groups within a herd during locomotion by computer simulations. The resulting processes are compared with our prior observations of a Przewalski horse herd (Hortobágy, Hungary) which we use as results from a published case study. We find that the model reproduces key features of a herd composed of harems moving on open ground, including fights for followers between leaders and bachelor groups (group of leaders without followers). One of our findings, however, does not agree with the observations. While in our model the emerging group size distribution is normal, the group size distribution of the observed herd based on historical data have been found to follow lognormal distribution. We argue that this indicates that the formation (and the size) of the harems must involve a more complex social topology than simple spatial-distance based interactions.},
  keywords = {Collective motion,Collective motion of groups,Hierarchy,SPP model}
}

@unpublished{ferdinandyCrossspeciesApplicationAutomated,
  title = {Cross-Species Application of Automated Behaviour Identification of Dogs and Wolves},
  author = {Ferdinandy, Bence and Gerencsér, Linda and Corrieri, Luca and Csizmadia, Gábor and Miklósi, Ádám},
  keywords = {ownpub}
}

@article{ferdinandyEffectFreeRadicals1988,
  title = {The Effect of Free Radicals on the Leukocyte Alkaline Phosphatase Activity.},
  author = {Ferdinandy, K.},
  date = {1988},
  journaltitle = {Acta paediatrica Hungarica},
  volume = {29},
  number = {1-2},
  eprint = {3255393},
  eprinttype = {pmid},
  pages = {111--112},
  publisher = {{Acta Paediatr Hung}},
  issn = {00016527},
  url = {https://pubmed.ncbi.nlm.nih.gov/3255393/},
  keywords = {Alkaline Phosphatase / metabolism*,Free Radicals,Humans,K Ferdinandy,Leukocytes / enzymology*,MEDLINE,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,NCBI,NIH,NLM,pmid:3255393,PubMed Abstract}
}

@article{ferdinandyExploratoryStudyIntroducing2020,
  title = {Exploratory Study of Introducing {{HPC}} to Non-{{ICT}} Researchers: Institutional Strategy Is Possibly Needed for Widespread Adaption},
  author = {Ferdinandy, Bence and Guerrero-Higueras, Ángel Manuel and Verderber, Éva and Rodríguez-Lera, Francisco Javier and Miklósi, Ádám},
  date = {2020-09},
  journaltitle = {The Journal of Supercomputing 2020 77:5},
  volume = {77},
  number = {5},
  pages = {4317--4331},
  publisher = {{Springer}},
  issn = {1573-0484},
  doi = {10.1007/S11227-020-03438-0},
  url = {https://link.springer.com/article/10.1007/s11227-020-03438-0},
  abstract = {Machine learning algorithms are becoming more and more useful in many fields of science, including many areas where computational methods are rarely used. High-performance Computing (HPC) is the most powerful solution to get the best results using these algorithms. HPC requires various skills to use. Acquiring this knowledge might be intimidating and take a long time for a researcher with small or no background in information and communications technologies (ICTs), even if the benefits of such knowledge is evident for the researcher. In this work, we aim to assess how a specific method of introducing HPC to such researchers enables them to start using HPC. We gave talks to two groups of non-ICT researchers that introduced basic concepts focusing on the necessary practical steps needed to use HPC on a specific cluster. We also offered hands-on trainings for one of the groups which aimed to guide participants through the first steps of using HPC. Participants filled out questionnaires partly based on Kirkpatrick's training evaluation model before and after the talk, and after the hands-on training. We found that the talk increased participants' self-reported likelihood of using HPC in their future research, but this was not significant for the group where participation was voluntary. On the contrary, very few researchers participated in the hands-on training, and for these participants neither the talk, nor the hands-on training changed their self-reported likelihood of using HPC in their future research. We argue that our findings show that academia and researchers would benefit from an environment that not only expects researchers to train themselves, but provides structural support for acquiring new skills.},
  keywords = {Compilers,Computer Science,general,Interpreters,Processor Architectures,Programming Languages},
  file = {/home/fbence/Zotero/storage/XGCVUEV6/Ferdinandy et al. - 2020 - Exploratory study of introducing HPC to non-ICT researchers institutional strategy is possibly needed for wid.pdf}
}

@article{ferdinandyFagocitozisEsNitrobluetetrazolium1979,
  title = {Fagocitózis És Nitroblue-Tetrazolium Reakció Egyidejü Kvantitatív Vizsgálata Vérben.},
  author = {Ferdinandy, K. and Ferenczhalmy, A.},
  date = {1979-10},
  journaltitle = {Orvosi hetilap},
  volume = {120},
  number = {43},
  eprint = {545235},
  eprinttype = {pmid},
  pages = {2599--2603},
  publisher = {{Orv Hetil}},
  issn = {00306002},
  url = {https://pubmed.ncbi.nlm.nih.gov/545235/},
  keywords = {A Ferenczhalmy,Cell Count,Comparative Study,Humans,K Ferdinandy,MEDLINE,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,NCBI,NIH,Nitroblue Tetrazolium*,NLM,Phagocytosis*,pmid:545235,PubMed Abstract,Tetrazolium Salts*}
}

@article{ferdinandyGithubComPriestoferis2020,
  title = {Github.Com/Priestoferis/Animal-Behaviour-Analysis-2020: V1.0},
  author = {Ferdinandy, Bence},
  date = {2020},
  journaltitle = {Zenodo},
  publisher = {{CERN}},
  doi = {10.5281/zenodo.3887208}
}

@article{ferdinandyHIVCompetitionDynamics2015,
  title = {{{HIV Competition Dynamics}} over {{Sexual Networks}}: {{First Comer Advantage Conserves Founder Effects}}},
  author = {Ferdinandy, Bence and Mones, Enys and Vicsek, Tamás and Müller, Viktor},
  date = {2015},
  journaltitle = {PLOS Computational Biology},
  volume = {11},
  number = {2},
  pages = {e1004093},
  publisher = {{Public Library of Science}},
  issn = {1553-7358},
  doi = {10.1371/JOURNAL.PCBI.1004093},
  url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004093},
  abstract = {Outside Africa, the global phylogeography of HIV is characterized by compartmentalized local epidemics that are typically dominated by a single subtype, which indicates strong founder effects. We hypothesized that the competition of viral strains at the epidemic level may involve an advantage of the resident strain that was the first to colonize a population. Such an effect would slow down the invasion of new strains, and thus also the diversification of the epidemic. We developed a stochastic modelling framework to simulate HIV epidemics over dynamic contact networks. We simulated epidemics in which the second strain was introduced into a population where the first strain had established a steady-state epidemic, and assessed whether, and on what time scale, the second strain was able to spread in the population. Simulations were parameterized based on empirical data; we tested scenarios with varying levels of overall prevalence. The spread of the second strain occurred on a much slower time scale compared with the initial expansion of the first strain. With strains of equal transmission efficiency, the second strain was unable to invade on a time scale relevant for the history of the HIV pandemic. To become dominant over a time scale of decades, the second strain needed considerable (\textbackslash textgreater25\%) advantage in transmission efficiency over the resident strain. The inhibition effect was weaker if the second strain was introduced while the first strain was still in its growth phase. We also tested how possible mechanisms of interference (inhibition of superinfection, depletion of highly connected hubs in the network, one-time acute peak of infectiousness) contribute to the inhibition effect. Our simulations confirmed a strong first comer advantage in the competition dynamics of HIV at the population level, which may explain the global phylogeography of the virus and may influence the future evolution of the pandemic.},
  keywords = {Africa,HIV,HIV epidemiology,HIV-1,Pandemics,Sexually transmitted diseases,Simulation and modeling,Superinfection},
  file = {/home/fbence/Zotero/storage/ZU26FEBA/Ferdinandy et al. - 2015 - HIV Competition Dynamics over Sexual Networks First Comer Advantage Conserves Founder Effects.pdf}
}

@article{ferdinandyHIVCompetitionDynamics2015a,
  title = {{{HIV Competition Dynamics}} over {{Sexual Networks}}: {{First Comer Advantage Conserves Founder Effects}}},
  author = {Ferdinandy, B. and Mones, E. and Vicsek, T. and Müller, V.},
  date = {2015},
  journaltitle = {PLoS Computational Biology},
  volume = {11},
  number = {2},
  issn = {15537358},
  doi = {10.1371/journal.pcbi.1004093},
  abstract = {© 2015 Ferdinandy et al.Outside Africa, the global phylogeography of HIV is characterized by compartmentalized local epidemics that are typically dominated by a single subtype, which indicates strong founder effects. We hypothesized that the competition of viral strains at the epidemic level may involve an advantage of the resident strain that was the first to colonize a population. Such an effect would slow down the invasion of new strains, and thus also the diversification of the epidemic. We developed a stochastic modelling framework to simulate HIV epidemics over dynamic contact networks. We simulated epidemics in which the second strain was introduced into a population where the first strain had established a steady-state epidemic, and assessed whether, and on what time scale, the second strain was able to spread in the population. Simulations were parameterized based on empirical data; we tested scenarios with varying levels of overall prevalence. The spread of the second strain occurred on a much slower time scale compared with the initial expansion of the first strain. With strains of equal transmission efficiency, the second strain was unable to invade on a time scale relevant for the history of the HIV pandemic. To become dominant over a time scale of decades, the second strain needed considerable (\textbackslash textgreater25\%) advantage in transmission efficiency over the resident strain. The inhibition effect was weaker if the second strain was introduced while the first strain was still in its growth phase. We also tested how possible mechanisms of interference (inhibition of superinfection, depletion of highly connected hubs in the network, one-time acute peak of infectiousness) contribute to the inhibition effect. Our simulations confirmed a strong first comer advantage in the competition dynamics of HIV at the population level, which may explain the global phylogeography of the virus and may influence the future evolution of the pandemic.}
}

@article{ferdinandyLandingTogetherHow2012,
  title = {Landing Together: {{How}} Flocks Arrive at a Coherent Action in Time and Space in the Presence of Perturbations},
  author = {Ferdinandy, B. and Bhattacharya, K. and Ábel, D. and Vicsek, T.},
  date = {2012-02},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {391},
  number = {4},
  pages = {1207--1215},
  publisher = {{North-Holland}},
  issn = {0378-4371},
  doi = {10.1016/J.PHYSA.2011.10.010},
  abstract = {Collective motion is abundant in nature, producing a vast amount of phenomena which have been studied in recent years, including the landing of flocks of birds. We investigate the collective decision making scenario where a flock of birds decides the optimal time of landing in the absence of a global leader. We introduce a simple phenomenological model in the spirit of the statistical mechanics-based self-propelled particles (SPPs) approach to interpret this process. We expect that our model is applicable to a larger class of spatiotemporal decision making situations than just the landing of flocks (which process is used as a paradigmatic case). In the model birds are only influenced by observable variables, like position and velocity. Heterogeneity is introduced in the flock in terms of a depletion time after which a bird feels increasing bias to move towards the ground. Our model demonstrates a possible mechanism by which animals in a large group can arrive at an egalitarian decision about the time of switching from one activity to another in the absence of a leader. In particular, we show the existence of a paradoxical effect where noise enhances the coherence of the landing process. © 2011 Elsevier B.V. All rights reserved.},
  keywords = {Collective motion,Flocking,Group decision making,Landing,SPP model}
}

@article{ferdinandyLandingTogetherHow2012a,
  title = {Landing Together: {{How}} Flocks Arrive at a Coherent Action in Time and Space in the Presence of Perturbations},
  author = {Ferdinandy, B. and Bhattacharya, K. and Ábel, D. and Vicsek, T.},
  date = {2012-02},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {391},
  number = {4},
  pages = {1207--1215},
  publisher = {{North-Holland}},
  issn = {03784371},
  doi = {10.1016/j.physa.2011.10.010},
  abstract = {Collective motion is abundant in nature, producing a vast amount of phenomena which have been studied in recent years, including the landing of flocks of birds. We investigate the collective decision making scenario where a flock of birds decides the optimal time of landing in the absence of a global leader. We introduce a simple phenomenological model in the spirit of the statistical mechanics-based self-propelled particles (SPPs) approach to interpret this process. We expect that our model is applicable to a larger class of spatiotemporal decision making situations than just the landing of flocks (which process is used as a paradigmatic case). In the model birds are only influenced by observable variables, like position and velocity. Heterogeneity is introduced in the flock in terms of a depletion time after which a bird feels increasing bias to move towards the ground. Our model demonstrates a possible mechanism by which animals in a large group can arrive at an egalitarian decision about the time of switching from one activity to another in the absence of a leader. In particular, we show the existence of a paradoxical effect where noise enhances the coherence of the landing process. © 2011 Elsevier B.V. All rights reserved.},
  keywords = {Collective motion,Flocking,Group decision making,Landing,SPP model},
  annotation = {\_eprint: 1202.3037}
}

@article{ferdinandyLandingTogetherHow2012b,
  title = {Landing Together: {{How}} Flocks Arrive at a Coherent Action in Time and Space in the Presence of Perturbations},
  author = {Ferdinandy, B. and Bhattacharya, K. and Ábel, D. and Vicsek, T.},
  date = {2012},
  journaltitle = {Physica A: Statistical Mechanics and its Applications},
  volume = {391},
  number = {4},
  issn = {03784371},
  doi = {10.1016/j.physa.2011.10.010},
  abstract = {Collective motion is abundant in nature, producing a vast amount of phenomena which have been studied in recent years, including the landing of flocks of birds. We investigate the collective decision making scenario where a flock of birds decides the optimal time of landing in the absence of a global leader. We introduce a simple phenomenological model in the spirit of the statistical mechanics-based self-propelled particles (SPPs) approach to interpret this process. We expect that our model is applicable to a larger class of spatiotemporal decision making situations than just the landing of flocks (which process is used as a paradigmatic case). In the model birds are only influenced by observable variables, like position and velocity. Heterogeneity is introduced in the flock in terms of a depletion time after which a bird feels increasing bias to move towards the ground. Our model demonstrates a possible mechanism by which animals in a large group can arrive at an egalitarian decision about the time of switching from one activity to another in the absence of a leader. In particular, we show the existence of a paradoxical effect where noise enhances the coherence of the landing process. © 2011 Elsevier B.V. All rights reserved.},
  keywords = {Collective motion,Flocking,Group decision making,Landing,SPP model}
}

@article{ferdinandyLandingTogetherHow2012c,
  title = {Landing Together: {{How}} Flocks Arrive at a Coherent Action in Time and Space in the Presence of Perturbations},
  author = {Ferdinandy, Bence and Bhattacharya, Kunal and Ábel, Dániel and Vicsek, Tamás},
  date = {2012},
  journaltitle = {Physica A},
  volume = {391},
  number = {4},
  pages = {1207--1215},
  publisher = {{Elsevier}},
  doi = {doi:10.1016/j.physa.2011.10.010},
  abstract = {Collective motion is abundant in nature, producing a vast amount of phenomena which have been studied in recent years, including the landing of flocks of birds. We investigate the collective decision making scenario where a flock of birds decides the optimal time of landing in the absence of a global leader. We introduce a simple phenomenological model in the spirit of the statistical mechanics-based self-propelled particles (SPPs) approach to interpret this process. We expect that our model is applicable to a larger class of spatiotemporal decision making situations than just the landing of flocks (which process is used as a paradigmatic case). In the model birds are only influenced by observable variables, like position and velocity. Heterogeneity is introduced in the flock in terms of a depletion time after which a bird feels increasing bias to move towards the ground. Our model demonstrates a possible mechanism by which animals in a large group can arrive at an egalitarian decision about the time of switching from one activity to another in the absence of a leader. In particular, we show the existence of a paradoxical effect where noise enhances the coherence of the landing process.}
}

@article{ferdinandyNitrobluetetrazoliumReakcioEs1981,
  title = {Nitroblue-Tetrazolium Reakció És Fagocitózis Vizsgálatok Fertözö Betegségekben.},
  author = {Ferdinandy, K. and Mészner, Z.},
  date = {1981-11},
  journaltitle = {Orvosi hetilap},
  volume = {122},
  number = {46},
  eprint = {7322581},
  eprinttype = {pmid},
  pages = {2825--2826},
  publisher = {{Orv Hetil}},
  issn = {00306002},
  url = {https://pubmed.ncbi.nlm.nih.gov/7322581/},
  keywords = {Bacterial Infections / diagnosis,Bacterial Infections / immunology*,Child,Humans,Infant,K Ferdinandy,MEDLINE,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,NCBI,Newborn,NIH,Nitroblue Tetrazolium*,NLM,Phagocytosis*,pmid:7322581,Preschool,PubMed Abstract,Tetrazolium Salts*,Virus Diseases / diagnosis,Virus Diseases / immunology*,Z Mészner}
}

@article{ferdinandyUntersuchungenPostmortalenMilzausstrichen1966,
  title = {Untersuchungen an Postmortalen {{Milzausstrichen}} Unter Besonderer {{Berücksichtigung}} Der Lienalen {{Hämopoese}}.},
  author = {Ferdinandy, K.},
  date = {1966},
  journaltitle = {Folia haematologica : internationales Magazin fur klinische und morphologische Blutforschung},
  volume = {85},
  number = {3},
  eprint = {4172019},
  eprinttype = {pmid},
  pages = {261--266},
  publisher = {{Folia Haematol Int Mag Klin Morphol Blutforsch}},
  issn = {0015556X},
  url = {https://pubmed.ncbi.nlm.nih.gov/4172019/},
  keywords = {Erythropoiesis,Hematopoiesis*,Humans,K Ferdinandy,MEDLINE,Mononuclear Phagocyte System / pathology*,National Center for Biotechnology Information,National Institutes of Health,National Library of Medicine,NCBI,NIH,NLM,Plasma Cells,pmid:4172019,PubMed Abstract,Spleen / pathology*,Splenomegaly / pathology}
}

@article{fernandoSelectionistEvolutionaryApproaches2012,
  title = {Selectionist and {{Evolutionary Approaches}} to {{Brain Function}}: {{A Critical Appraisal}}},
  author = {Fernando, Chrisantha and Szathmáry, Eörs and Husbands, Phil},
  date = {2012},
  journaltitle = {Frontiers in Computational Neuroscience},
  volume = {6},
  pages = {1--28},
  issn = {1662-5188},
  doi = {10.3389/fncom.2012.00024},
  abstract = {We consider approaches to brain dynamics and function that have been claimed to be Darwinian. These include Edelman's theory of neuronal group selection, Changeux's theory of synaptic selection and selective stabilization of pre-representations, Seung's Darwinian synapse, Loewenstein's synaptic melioration, Adam's selfish synapse, and Calvin's replicating activity patterns. Except for the last two, the proposed mechanisms are selectionist but not truly Darwinian, because no replicators with information transfer to copies and hereditary variation can be identified in them. All of them fit, however, a generalized selectionist framework conforming to the picture of Price's covariance formulation, which deliberately was not specific even to selection in biology, and therefore does not imply an algorithmic picture of biological evolution. Bayesian models and reinforcement learning are formally in agreement with selection dynamics. A classification of search algorithms is shown to include Darwinian replicators (evolutionary units with multiplication, heredity, and variability) as the most powerful mechanism for search in a sparsely occupied search space. Examples are given of cases where parallel competitive search with information transfer among the units is more efficient than search without information transfer between units. Finally, we review our recent attempts to construct and analyze simple models of true Darwinian evolutionary units in the brain in terms of connectivity and activity copying of neuronal groups. Although none of the proposed neuronal replicators include miraculous mechanisms, their identification remains a challenge but also a great promise.},
  issue = {April},
  keywords = {1987,as its title and,causal inference,darwinian neurodynamics,edelman,hill-climbers,ism and the theory,izhikevich spiking networks,neural darwinism,neural Darwinism,neuron,neuronal group selection,neuronal replicator hypothesis,of neuronal group selection,price equation,published a landmark book,with neural darwin-}
}

@article{flackLocalCollectiveBehavior2018,
  title = {From Local Collective Behavior to Global Migratory Patterns in White Storks},
  author = {Flack, Andrea and Nagy, Máté and Fiedler, Wolfgang and Couzin, Iain D. and Wikelski, Martin},
  date = {2018-05},
  journaltitle = {Science},
  volume = {360},
  number = {6391},
  pages = {911--914},
  publisher = {{American Association for the Advancement of Science}},
  issn = {10959203},
  doi = {10.1126/science.aap7781},
  abstract = {Soaring migrant birds exploit columns of rising air (thermals) to cover large distances with minimal energy. Using social information while locating thermals may benefit such birds, but examining collective movements in wild migrants has been a major challenge for researchers. We investigated the group movements of a flock of 27 naturally migrating juvenile white storks by using high-resolution GPS and accelerometers. Analyzing individual and group movements on multiple scales revealed that a small number of leaders navigated to and explored thermals, whereas followers benefited from their movements. Despite this benefit, followers often left thermals earlier and at lower height, and consequently they had to flap considerably more. Followers also migrated less far annually than did leaders. We provide insights into the interactions between freely flying social migrants and the costs and benefits of collective movement in natural populations.},
  file = {/home/fbence/Zotero/storage/JWDATLJQ/Flack et al. - 2018 - From local collective behavior to global migratory patterns in white storks.pdf}
}

@article{fongSurveySociallyInteractive2002,
  title = {A {{Survey}} of {{Socially Interactive Robots}}: {{Concepts}}, {{Design}}, and {{Applications}}},
  author = {Fong, Terrence and Nourbakhsh, Illah and Dautenhahn, Kerstin},
  date = {2002},
  url = {https://infoscience.epfl.ch/record/30017/files/CMU-RI-TR-02-29.pdf},
  abstract = {This report reviews " socially interactive robots " : robots for which social human-robot interaction is important. We begin by discussing the context for socially interactive robots, emphasizing the relationship to other research fields and the different forms of " social robots " . We then present a taxonomy of design methods and system components used to build socially interactive robots. Following this taxonomy, we survey the current state of the art, categorized by use and application area. Finally, we describe the impact of these these robots on humans and discuss open issues. An abbreviated version of this report, which does not contain the application survey, is available as [T. Fong, I. Nourbakhsh, K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems 42 (3-4) (2003)].},
  keywords = {Human-robot interaction,sociable robot,social robot,socially interactive robot}
}

@article{fongSurveySociallyInteractive2002a,
  title = {A {{Survey}} of {{Socially Interactive Robots}}: {{Concepts}}, {{Design}}, and {{Applications}}},
  author = {Fong, Terrence and Nourbakhsh, Illah and Dautenhahn, Kerstin},
  date = {2002},
  url = {https://infoscience.epfl.ch/record/30017/files/CMU-RI-TR-02-29.pdf},
  abstract = {This report reviews " socially interactive robots " : robots for which social human-robot interaction is important. We begin by discussing the context for socially interactive robots, emphasizing the relationship to other research fields and the different forms of " social robots " . We then present a taxonomy of design methods and system components used to build socially interactive robots. Following this taxonomy, we survey the current state of the art, categorized by use and application area. Finally, we describe the impact of these these robots on humans and discuss open issues. An abbreviated version of this report, which does not contain the application survey, is available as [T. Fong, I. Nourbakhsh, K. Dautenhahn, A survey of socially interactive robots, Robotics and Autonomous Systems 42 (3-4) (2003)].},
  keywords = {Human-robot interaction,sociable robot,social robot,socially interactive robot},
  file = {/home/fbence/Zotero/storage/WA3H8VRT/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{fouratiPostureBodyAcceleration2011,
  title = {Posture and Body Acceleration Tracking by Inertial and Magnetic Sensing: {{Application}} in Behavioral Analysis of Free-Ranging Animals},
  author = {Fourati, Hassen and Manamanni, Noureddine and Afilal, Lissan and Handrich, Yves},
  date = {2011-01},
  journaltitle = {Biomedical Signal Processing and Control},
  volume = {6},
  number = {1},
  pages = {94--104},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S1746809410000455 https://www.sciencedirect.com/science/article/abs/pii/S1746809410000455},
  abstract = {This paper concerns body attitude (orientation) estimation for free ranging animal. The main idea of the proposed approach combines a quaternion-based nonlinear observer with an Iterated Least Squares Algorithm (ILSA) and exploits measurements from Micro-Electro-Mechanical-System (MEMS) sensors as 3-axis accelerometer, 3-axis magnetometer and 3-axis gyroscope to produce attitude estimates during the entire range of the observed animal's body movements. Moreover, the proposed observer allows estimating the bias in gyroscope which is used to correct the angular velocity measurements in the attitude estimation step. Since, biologists use an index of DBA for evaluating the energy consumption of the moving animal; the resulting estimations are then used to extract the Dynamic Body Acceleration (DBA) of the animal. Note that, this work is necessary in Bio-logging science and allows monitoring aspects of animal's biology (behavior, movement, and physiology) and environments. The performance of the algorithm is theoretically proven and illustrated by an attitude estimation example. Moreover, the efficiency of the proposed approach is shown with a set of experiments through sensor measurements provided by an Inertial Measurement Unit (IMU). We have also included some comparison results with another method already applied in Bio-logging field in order to point out the improvements issued from the proposed approach.},
  file = {/home/fbence/Zotero/storage/78XZELJJ/Fourati et al. - 2011 - Posture and body acceleration tracking by inertial and magnetic sensing Application in behavioral analysis of fr.pdf}
}

@article{fouratiSensingTechniqueDynamic2010,
  title = {Sensing Technique of Dynamic Marine Mammal's Attitude by Use of Low-Cost Inertial and Magnetic Sensors},
  author = {Fourati, Hassen and Manamanni, Noureddine and Afilal, Lissan and Handrich, Yves},
  date = {2010-09},
  journaltitle = {IFAC Proceedings Volumes},
  volume = {43},
  number = {20},
  pages = {283--288},
  publisher = {{Elsevier}},
  issn = {1474-6670},
  doi = {10.3182/20100915-3-DE-3008.00043},
  url = {https://www.sciencedirect.com/science/article/pii/S1474667016334760},
  abstract = {This paper presents the design and performance evaluation of a theoretical sensing technique of dynamic marine mammal's attitude. A single sensor pack composed by an Inertial Measurement Unit (IMU), provides all the data required to feed the nonlinear estimator. The proposed algorithm uses complementary data from a 3-axis accelerometer, a 3axis magnetometer and a 3-axis gyroscope. These sensors are mounted in a single tag and appropriately located on the animal. The approach developed here is applied in Bio-logging, an interdisciplinary research area at the intersection of animal behavior and bioengineering. By considering the rigid-body dynamics expressed in quaternion representation, a Complementary Sliding Mode Observer (CSMO) is derived taking advantages from strapdown inertial measurement from gyroscope and vector observations from accelerometer and magnetometer to provide accurate attitude estimates in quaternion representations. The proposed algorithm is based on a multiplicative quaternion correction technique and allows the estimation of large attitude maneuvers of the marine animal. The efficiency of the algorithm herein designed is illustrated through simulations using a theoretical example of animal motion.},
  isbn = {9783902661883},
  file = {/home/fbence/Zotero/storage/UZJYINLF/Fourati et al. - 2010 - Sensing technique of dynamic marine mammal's attitude by use of low-cost inertial and magnetic sensors.pdf}
}

@article{frentzLimitedCrossborderInfections2013,
  title = {Limited Cross-Border Infections in Patients Newly Diagnosed with {{HIV}} in {{Europe}}},
  author = {Frentz, Dineke and Wensing, Annemarie M J and Albert, Jan and Paraskevis, Dimitrios and Abecasis, Ana B and Hamouda, Osamah and Jørgensen, Louise B and Kücherer, Claudia and Struck, Daniel and Schmit, Jean-Claude and {Others}},
  date = {2013},
  journaltitle = {Retrovirology},
  volume = {10},
  number = {1},
  pages = {1},
  publisher = {{BioMed Central}}
}

@article{furutsukiFrequentTransmissionCytotoxicTlymphocyte2004,
  title = {Frequent Transmission of Cytotoxic-{{T-lymphocyte}} Escape Mutants of Human Immunodeficiency Virus Type 1 in the Highly {{HLA-A24-positive Japanese}} Population},
  author = {Furutsuki, Tae and Hosoya, Noriaki and Kawana-Tachikawa, Ai and Tomizawa, Mariko and Odawara, Takashi and Goto, Mieko and Kitamura, Yoshihiro and Nakamura, Tetsuya and Kelleher, Anthony D and Cooper, David A and {Others}},
  date = {2004},
  journaltitle = {Journal of virology},
  volume = {78},
  number = {16},
  pages = {8437--8445},
  publisher = {{Am Soc Microbiol}}
}

@article{gacsiAssistanceDogsProvide2013,
  title = {Assistance Dogs Provide a Useful Behavioral Model to Enrich Communicative Skills of Assistance Robots.},
  author = {Gácsi, Márta and Szakadát, Sára and Miklósi, Adám},
  date = {2013},
  journaltitle = {Frontiers in psychology},
  volume = {4},
  eprint = {24399986},
  eprinttype = {pmid},
  pages = {971},
  publisher = {{Frontiers Media SA}},
  issn = {1664-1078},
  doi = {10.3389/fpsyg.2013.00971},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/24399986 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3872049},
  abstract = {These studies are part of a project aiming to reveal relevant aspects of human-dog interactions, which could serve as a model to design successful human-robot interactions. Presently there are no successfully commercialized assistance robots, however, assistance dogs work efficiently as partners for persons with disabilities. In Study 1, we analyzed the cooperation of 32 assistance dog-owner dyads performing a carrying task. We revealed typical behavior sequences and also differences depending on the dyads' experiences and on whether the owner was a wheelchair user. In Study 2, we investigated dogs' responses to unforeseen difficulties during a retrieving task in two contexts. Dogs displayed specific communicative and displacement behaviors, and a strong commitment to execute the insoluble task. Questionnaire data from Study 3 confirmed that these behaviors could successfully attenuate owners' disappointment. Although owners anticipated the technical competence of future assistance robots to be moderate/high, they could not imagine robots as emotional companions, which negatively affected their acceptance ratings of future robotic assistants. We propose that assistance dogs' cooperative behaviors and problem solving strategies should inspire the development of the relevant functions and social behaviors of assistance robots with limited manual and verbal skills.},
  keywords = {assistance robots,displacement behaviors,dog behavioral model,dog–human cooperation,problem solving strategy}
}

@article{gacsiHumansAttributeEmotions2016,
  title = {Humans Attribute Emotions to a Robot That Shows Simple Behavioural Patterns Borrowed from Dog Behaviour},
  author = {Gácsi, Márta and Kis, Anna and Faragó, Tamás and Janiak, Mariusz and Muszyński, Robert and Miklósi, Ádám},
  date = {2016},
  journaltitle = {Computers in Human Behavior},
  volume = {59},
  pages = {411--419},
  issn = {07475632},
  doi = {10.1016/j.chb.2016.02.043},
  abstract = {In social robotics it has been a crucial issue to determine the minimal set of relevant behaviour actions that humans interpret as social competencies. As a potential alternative of mimicking human abilities, it has been proposed to use a non-human animal, the dog as a natural model for developing simple, non-linguistic emotional expressions for non-humanoid social robots. In the present study human participants were presented with short video sequences in which a PeopleBot robot and a dog displayed behaviours that corresponded to five emotional states (joy, fear, anger, sadness, and neutral) in a neutral environment. The actions of the robot were developed on the basis of dog expressive behaviours that had been described in previous studies of dog-human interactions. In their answers to open-ended questions, participants spontaneously attributed emotional states to both the robot and the dog. They could also successfully match all dog videos and all robot videos with the correct emotional state. We conclude that our bottom up approach (starting from a simpler animal signalling system, rather than decomposing complex human signalling systems) can be used as a promising model for developing believable and easily recognisable emotional displays for non-humanoid social robots.},
  keywords = {Dog model,Ethological approach,Expressive behaviour,Robot emotions}
}

@article{gacsiHumansAttributeEmotions2016a,
  title = {Humans Attribute Emotions to a Robot That Shows Simple Behavioural Patterns Borrowed from Dog Behaviour},
  author = {Gácsi, Márta and Kis, Anna and Faragó, Tamás and Janiak, Mariusz and Muszyński, Robert and Miklósi, Ádám},
  date = {2016-06},
  journaltitle = {Computers in Human Behavior},
  volume = {59},
  pages = {411--419},
  issn = {07475632},
  doi = {10.1016/j.chb.2016.02.043},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S0747563216300954},
  keywords = {teszt2}
}

@article{gacsiWhatCouldAssistance2014,
  title = {What Could Assistance Robots Learn from Assistance Dogs?},
  author = {Gácsi, Márta and Szakadát, Sára and {Miklósi}},
  date = {2014},
  journaltitle = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},
  volume = {134},
  pages = {105--119},
  issn = {18678211},
  doi = {10.1007/978-3-319-06944-9_8},
  abstract = {These studies are part of our broader project that aims at revealing relevant aspects of human-dog interactions, which could help to develop and test robot social behaviour. We suggest that the cooperation between assistance dogs and their disabled owners could serve as a model to design successful assistance robot–human interactions. In Study 1, we analysed the behaviour of 32 assistance dog–owner dyads performing a fetch and carry task. In addition to important typical behaviours (attracting attention, eye-contact, comprehending pointing gestures), we found differences depending on how experienced the dyad was and whether the owner used a wheel chair or not. In Study 2 we investigated the reactions of a subsample of dogs to unforeseen difficulties during a retrieving task. We revealed different types of communicative and displacement behaviours, and importantly, dogs showed a strong commitment to execute the insoluble task or at least their behaviours lent a ‘‘busy” appearance to them, which can attenuate the owners' disappointment. We suggest that assistant robots should communicate their inability to solve a problem using simple behaviours (non-verbal vocalisation, orientation alternation), and/or could show displacement behaviours rather than simply not performing the task. In sum, we propose that assistant dogs' communicative behaviours and problem solving strategies could inspire the development of the relevant functions and social behaviours of assistance robots.},
  isbn = {9783319069432},
  keywords = {Assistance robot,Dog behaviour model,Ethological approach,Social interaction}
}

@article{gaudielloTrustIndicatorRobot2016,
  title = {Trust as Indicator of Robot Functional and Social Acceptance. {{An}} Experimental Study on User Conformation to {{iCub}} Answers},
  author = {Gaudiello, Ilaria and Zibetti, Elisabetta and Lefort, Sébastien and Chetouani, Mohamed and Ivaldi, Serena},
  date = {2016-08},
  journaltitle = {Computers in Human Behavior},
  volume = {61},
  pages = {633--655},
  publisher = {{Elsevier Ltd}},
  issn = {07475632},
  doi = {10.1016/j.chb.2016.03.057},
  abstract = {To investigate the dynamics of human-robot acceptance, we carried out an experimental study with 56 adult participants and the iCub robot. Trust in the robot has been considered as a main indicator of acceptance and measured by the participants' conformation to the iCub's answers to questions on functional and social tasks characterized by perceptual and socio cognitive uncertainty. In particular, we were interested in understanding whether (i) trust in functional savvy is a prerequisite for trust in social savvy, and (ii) to what extent factors such as participants' desire for control, attitude towards social influence of robots, and imagined collaborative vs. competitive scenario, may influence their trust in the iCub. We found that participants conformed more to the iCub's answers in the functional than in the social tasks. Moreover, the few participants conforming to the iCub's answers in the social task also conformed less in the functional issues. Trust in the robot's functional savvy does not thus seem to be a pre-requisite for trust in its social savvy. Finally, the examined factors did not influence the trust in iCub. Results are discussed with relation to methodology of human-robot interaction (HRI) research.},
  keywords = {Conformation,Functional acceptance,iCub humanoid robot,Social acceptance,Trust},
  annotation = {\_eprint: 1510.03678}
}

@article{gaunitzAncientGenomesRevisit2018,
  title = {Ancient Genomes Revisit the Ancestry of Domestic and {{Przewalski}}\{\$\textbackslash backslash\$textquoteright\}s Horses},
  author = {Gaunitz, Charleen and Fages, Antoine and Hanghøj, Kristian and Albrechtsen, Anders and Khan, Naveed and Schubert, Mikkel and Seguin-Orlando, Andaine and Owens, Ivy J and Felkel, Sabine and Bignon-Lau, Olivier and de Barros Damgaard, Peter and Mittnik, Alissa and Mohaseb, Azadeh F and Davoudi, Hossein and Alquraishi, Saleh and Alfarhan, Ahmed H and Al-Rasheid, Khaled A S and Crubézy, Eric and Benecke, Norbert and Olsen, Sandra and Brown, Dorcas and Anthony, David and Massy, Ken and Pitulko, Vladimir and Kasparov, Aleksei and Brem, Gottfried and Hofreiter, Michael and Mukhtarova, Gulmira and Baimukhanov, Nurbol and Lõugas, Lembi and Onar, Vedat and Stockhammer, Philipp W and Krause, Johannes and Boldgiv, Bazartseren and Undrakhbold, Sainbileg and Erdenebaatar, Diimaajav and Lepetz, Sébastien and Mashkour, Marjan and Ludwig, Arne and Wallner, Barbara and Merz, Victor and Merz, Ilja and Zaibert, Viktor and Willerslev, Eske and Librado, Pablo and Outram, Alan K and Orlando, Ludovic},
  options = {useprefix=true},
  date = {2018},
  journaltitle = {Science},
  publisher = {{American Association for the Advancement of Science}},
  issn = {0036-8075},
  doi = {10.1126/science.aao3297},
  url = {http://science.sciencemag.org/content/early/2018/02/21/science.aao3297},
  abstract = {The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ∼5,500 ya, but the exact nature of early horse domestication remains controversial. We generated 42 ancient horse genomes, including 20 from Botai. Compared to 46 published ancient and modern horse genomes, our data indicate that Przewalski\{\$\textbackslash backslash\$textquoteright\}s horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ∼4,000 ya to present only show ∼2.7\% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.}
}

@article{gell-mannWhatComplexity1995,
  title = {What Is Complexity?},
  author = {Gell-Mann, Murray},
  date = {1995-09},
  journaltitle = {Complexity},
  volume = {1},
  number = {1},
  pages = {16--19},
  publisher = {{Wiley Subscription Services, Inc., A Wiley Company}},
  doi = {10.1002/cplx.6130010105},
  url = {http://doi.wiley.com/10.1002/cplx.6130010105}
}

@article{gerencserIdentificationBehaviourFreely2013,
  title = {Identification of {{Behaviour}} in {{Freely Moving Dogs}} ({{Canis}} Familiaris) {{Using Inertial Sensors}}},
  author = {Gerencsér, Linda and Vásárhelyi, Gábor and Nagy, Máté and Vicsek, Tamas and Miklósi, Adam},
  editor = {de Polavieja, Gonzalo G.},
  options = {useprefix=true},
  date = {2013-10},
  journaltitle = {PLoS ONE},
  volume = {8},
  number = {10},
  pages = {e77814},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0077814},
  url = {https://dx.plos.org/10.1371/journal.pone.0077814 http://dx.plos.org/10.1371/journal.pone.0077814},
  abstract = {Monitoring and describing the physical movements and body postures of animals is one of the most fundamental tasks of ethology. The more precise the observations are the more sophisticated the interpretations can be about the biology of a certain individual or species. Animal-borne data loggers have recently contributed much to the collection of motion-data from individuals, however, the problem of translating these measurements to distinct behavioural categories to create an ethogram is not overcome yet. The objective of the present study was to develop a “behaviour tracker”: a system composed of a multiple sensor data-logger device (with a tri-axial accelerometer and a tri-axial gyroscope) and a supervised learning algorithm as means of automated identification of the behaviour of freely moving dogs. We collected parallel sensor measurements and video recordings of each of our subjects (Belgian Malinois, N=12; Labrador Retrievers, N=12) that were guided through a predetermined series of standard activities. Seven behavioural categories (lay, sit, stand, walk, trot, gallop, canter) were pre-defined and each video recording was tagged accordingly. Evaluation of the measurements was performed by support vector machine (SVM) classification. During the analysis we used different combinations of independent measurements for training and validation (belonging to the same or different individuals or using different training data size) to determine the robustness of the application. We reached an overall accuracy of above 90\% perfect identification of all the defined seven categories of behaviour when both training and validation data belonged to the same individual, and over 80\% perfect recognition rate using a generalized training data set of multiple subjects. Our results indicate that the present method provides a good model for an easily applicable, fast, automatic behaviour classification system that can be trained with arbitrary motion patterns and potentially be applied to a wide range of species and situations.}
}

@article{gerencserIdentificationBehaviourFreely2013a,
  title = {Identification of {{Behaviour}} in {{Freely Moving Dogs}} ({{Canis}} Familiaris) {{Using Inertial Sensors}}},
  author = {Gerencsér, Linda and Vásárhelyi, Gábor and Nagy, Máté and Vicsek, Tamas and Miklósi, Adam},
  editor = {de Polavieja, Gonzalo G.},
  options = {useprefix=true},
  date = {2013-10},
  journaltitle = {PLoS ONE},
  volume = {8},
  number = {10},
  pages = {e77814},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0077814},
  url = {https://dx.plos.org/10.1371/journal.pone.0077814},
  abstract = {Monitoring and describing the physical movements and body postures of animals is one of the most fundamental tasks of ethology. The more precise the observations are the more sophisticated the interpretations can be about the biology of a certain individual or species. Animal-borne data loggers have recently contributed much to the collection of motion-data from individuals, however, the problem of translating these measurements to distinct behavioural categories to create an ethogram is not overcome yet. The objective of the present study was to develop a “behaviour tracker”: a system composed of a multiple sensor data-logger device (with a tri-axial accelerometer and a tri-axial gyroscope) and a supervised learning algorithm as means of automated identification of the behaviour of freely moving dogs. We collected parallel sensor measurements and video recordings of each of our subjects (Belgian Malinois, N=12; Labrador Retrievers, N=12) that were guided through a predetermined series of standard activities. Seven behavioural categories (lay, sit, stand, walk, trot, gallop, canter) were pre-defined and each video recording was tagged accordingly. Evaluation of the measurements was performed by support vector machine (SVM) classification. During the analysis we used different combinations of independent measurements for training and validation (belonging to the same or different individuals or using different training data size) to determine the robustness of the application. We reached an overall accuracy of above 90\% perfect identification of all the defined seven categories of behaviour when both training and validation data belonged to the same individual, and over 80\% perfect recognition rate using a generalized training data set of multiple subjects. Our results indicate that the present method provides a good model for an easily applicable, fast, automatic behaviour classification system that can be trained with arbitrary motion patterns and potentially be applied to a wide range of species and situations.}
}

@article{giuriStrategicOrientationUniversities2019,
  title = {The Strategic Orientation of Universities in Knowledge Transfer Activities},
  author = {Giuri, Paola and Munari, Federico and Scandura, Alessandra and Toschi, Laura},
  date = {2019-01},
  journaltitle = {Technological Forecasting and Social Change},
  volume = {138},
  pages = {261--278},
  publisher = {{Elsevier Inc.}},
  issn = {00401625},
  doi = {10.1016/j.techfore.2018.09.030},
  abstract = {Previous research has claimed that universities can enhance the effectiveness of knowledge transfer activities by establishing a clear strategic goal and aligning all their activities towards that direction. To shed new light on this issue, in this paper we explore the determinants of universities' strategic choices in the field of knowledge transfer (KT). We identify theoretically and empirically three university KT strategies: income-generation strategy, service-to-faculty strategy, and local development strategy. We then investigate the role of university-level factors that determine the strategic choice of universities, particularly focusing on university horizontal (generalist vs. specialist) and vertical (high vs. low prestige) diversity. The empirical analysis relies on a unique survey of 178 university TTO managers across European universities, combined with additional data sources. Our results show that generalist and low prestige universities mainly pursue the local development strategy, while specialist and high prestige ones are more oriented towards the income generation strategy. These findings are highly relevant for theory and practice of KT in academic insitutions, given the relevance that the university third mission has for economic and societal development.},
  keywords = {Knowledge transfer,University prestige,University specialization,University strategy},
  file = {/home/fbence/Zotero/storage/JYAWN85G/Giuri et al. - 2019 - The strategic orientation of universities in knowledge transfer activities.pdf}
}

@book{glatzederTheoryThinkingBuilding2010,
  title = {Towards a {{Theory}} of {{Thinking Building Blocks}} for a {{Conceptual Framework}}},
  author = {Glatzeder, Britt M. and Goel, Vinod},
  date = {2010},
  journaltitle = {Calcium in Living Cells},
  issn = {00766879},
  doi = {http://dx.doi.org/10.1016/B978-0-12-374841-6.00015-3},
  url = {http://www.sciencedirect.com/science/article/pii/B9780123748416000153},
  abstract = {Publisher Summary This chapter lists the names of the series editors of the book “Calcium in living cells.” The associate editors are Leslie Wilson from the department of molecular, cellular, and developmental biology, University of California and Paul Matsudaira from the department of biological science, National University of Singapore.},
  isbn = {0091-679X},
  pagetotal = {405},
  file = {/home/fbence/Zotero/storage/XRVK3ZM8/Glatzeder, Goel - 2010 - Towards a Theory of Thinking Building Blocks for a Conceptual Framework.pdf}
}

@misc{gligaSeeingFaceEyes2007,
  title = {Seeing the Face through the Eyes: A Developmental Perspective on Face Expertise},
  author = {Gliga, Teodora and Csibra, Gergely},
  date = {2007-01},
  journaltitle = {Progress in Brain Research},
  volume = {164},
  eprint = {17920440},
  eprinttype = {pmid},
  pages = {323--339},
  publisher = {{Elsevier}},
  issn = {00796123},
  doi = {10.1016/S0079-6123(07)64018-7},
  abstract = {Most people are experts in face recognition. We propose that the special status of this particular body part in telling individuals apart is the result of a developmental process that heavily biases human infants and children to attend towards the eyes of others. We review the evidence supporting this proposal, including neuroimaging results and studies in developmental disorders, like autism. We propose that the most likely explanation of infants' bias towards eyes is the fact that eye gaze serves important communicative functions in humans. © 2007 Elsevier B.V. All rights reserved.},
  isbn = {0444530169},
  keywords = {amygdala,development,expertise,face recognition,gaze perception,infancy},
  file = {/home/fbence/Zotero/storage/F27KI6AM/Gliga, Csibra - 2007 - Seeing the face through the eyes a developmental perspective on face expertise.pdf}
}

@article{gobbiniDistinctNeuralSystems2011,
  title = {Distinct Neural Systems Involved in Agency and Animacy Detection},
  author = {Gobbini, Maria Ida and Gentili, Claudio and Ricciardi, Emiliano and Bellucci, Claudia and Salvini, Pericle and Laschi, Cecilia and Guazzelli, Mario and Pietrini, Pietro},
  date = {2011-08},
  journaltitle = {Journal of Cognitive Neuroscience},
  volume = {23},
  number = {8},
  eprint = {20849234},
  eprinttype = {pmid},
  pages = {1911--1920},
  publisher = {{MIT Press238 Main St., Suite 500, Cambridge, MA 02142-1046USAjournals-info@mit.edu}},
  issn = {0898929X},
  doi = {10.1162/jocn.2010.21574},
  url = {https://www.mitpressjournals.org/doix/abs/10.1162/jocn.2010.21574},
  abstract = {We designed an fMRI experiment comparing perception of human faces and robotic faces producing emotional expressions. The purpose of our experiment was to investigate engagement of different parts of the social brain by viewing these animate and inanimate agents. Both human and robotic face expressions evoked activity in face-responsive regions in the fusiform gyrus and STS and in the putative human mirror neuron system. These results suggest that these areas mediate perception of agency, independently of whether the agents are living or not. By contrast, the human faces evoked stronger activity than did robotic faces in the medial pFC and the anterior temporal cortex-areas associated with the representation of others' mental states (theory of mind), whereas robotic faces evoked stronger activity in areas associated with perception of objects and mechanical movements. Our data demonstrate that the representation of the distinction between animate and inanimate agents involves areas that participate in attribution of mental stance. © 2011 Massachusetts Institute of Technology.}
}

@article{goldenfeldLifePhysicsEvolution2011,
  title = {Life Is {{Physics}}: {{Evolution}} as a {{Collective Phenomenon Far From Equilibrium}}},
  author = {Goldenfeld, Nigel and Woese, Carl},
  date = {2011},
  journaltitle = {Annual Review of Condensed Matter Physics},
  volume = {2},
  number = {1},
  pages = {375--399},
  issn = {1947-5454},
  doi = {10.1146/annurev-conmatphys-062910-140509},
  abstract = {Evolution is the fundamental physical process that gives rise to biological phenomena. Yet it is widely treated as a subset of population genetics, and thus its scope is artificially limited. As a result, the key issues of how rapidly evolution occurs, and its coupling to ecology have not been satisfactorily addressed and formulated. The lack of widespread appreciation for, and understanding of, the evolutionary process has arguably retarded the development of biology as a science, with disastrous consequences for its applications to medicine, ecology and the global environment. This review focuses on evolution as a problem in non-equilibrium statistical mechanics, where the key dynamical modes are collective, as evidenced by the plethora of mobile genetic elements whose role in shaping evolution has been revealed by modern genomic surveys. We discuss how condensed matter physics concepts might provide a useful perspective in evolutionary biology, the conceptual failings of the modern evolutionary synthesis, the open-ended growth of complexity, and the quintessentially self-referential nature of evolutionary dynamics.},
  annotation = {\_eprint: 1011.4125},
  file = {/home/fbence/Zotero/storage/QU9Z3DC2/Goldenfeld, Woese - 2011 - Life is Physics Evolution as a Collective Phenomenon Far From Equilibrium.pdf}
}

@article{gonzalesLackDetectableHuman2003,
  title = {Lack of Detectable Human Immunodeficiency Virus Type 1 Superinfection during 1072 Person-Years of Observation},
  author = {Gonzales, Matthew J and Delwart, Eric and Rhee, Soo-Yon and Tsui, Rose and Zolopa, Andrew R and Taylor, Jonathan and Shafer, Robert W},
  date = {2003},
  journaltitle = {Journal of Infectious Diseases},
  volume = {188},
  number = {3},
  pages = {397--405},
  publisher = {{Oxford University Press}}
}

@article{gonzalezBehavioralClassificationData2015,
  title = {Behavioral Classification of Data from Collars Containing Motion Sensors in Grazing Cattle},
  author = {González, L.A. and Bishop-Hurley, G.J. and Handcock, R.N. and Crossman, C.},
  date = {2015-01},
  journaltitle = {Computers and Electronics in Agriculture},
  volume = {110},
  pages = {91--102},
  publisher = {{Elsevier}},
  issn = {0168-1699},
  doi = {10.1016/J.COMPAG.2014.10.018},
  url = {https://www.sciencedirect.com/science/article/pii/S0168169914002798},
  abstract = {Remote monitoring of animal behavior offers great potential to improve livestock management however technologies able to collect data at high frequency and accurate data classification methods are required. The objective of this study was to develop a methodology capable of performing unsupervised behavioral classification of electronic data collected at high frequency from collar-mounted motion and GPS sensors in grazing cattle. Two independent trials were conducted, one for developing the classification algorithm (4 groups of 11 steers) and a second for its evaluation (14 steers). Each steer was fitted with a collar containing GPS and a 3-axis accelerometer that collected data at 4 and 10Hz, respectively. Foraging, ruminating, traveling, resting and ‘other active behaviors' (which included scratching against objects, head shaking, and grooming) were observed and recorded continuously at the nearest second in animals wearing collars. Collar data were aggregated to 10-s intervals through the mean (indicative of the position of the neck and travel speed) and standard deviation (SD; indicative of activity level) and then log-transformed for analysis. The histograms of travel speed showed 3 populations and observations revealed these populations represented stationary, slow and fast travel behaviors. The histograms of the accelerometer X-axis mean showed populations corresponding with behaviors of head down or head up. The histograms of the accelerometer X-axis SD showed 3 populations representing behaviors with high, medium and low activity levels. Mixture models were fitted to data from each animal in both trials to calculate threshold values corresponding to where behaviors transitioned between different states. These thresholds from the 3 sensor signatures were then used in a decision tree to classify all 10-s data where behaviors were unknown into 5 mutually exclusive behaviors. The algorithm correctly classified 85.5\% and 90.5\% of all data points in the development and evaluation datasets, respectively. Foraging showed the greatest sensitivity (93.7\% and 98.4\%) and specificity (94.6\% and 99.4\%) followed by ruminating (sensitivity 97\% and 87\%, and specificity 90\% and 95\%) for development and evaluation trials, respectively. Major advantages of mixture models include computational efficiency suitable for large data sets (e.g. \textbackslash textgreater2million data lines), minimal requirement for training datasets, and estimation of threshold values for individual animals under unknown and varying environmental conditions. The technology and methodology allows for the automatic and real-time monitoring of behavior with high spatial and temporal resolution which could benefit livestock industries beyond the research domain for improved animal and ecological management.}
}

@article{goslingVeryBriefMeasure2003,
  title = {A Very Brief Measure of the {{Big-Five}} Personality Domains},
  author = {Gosling, Samuel D. and Rentfrow, Peter J. and Swann, William B.},
  date = {2003-12},
  journaltitle = {Journal of Research in Personality},
  volume = {37},
  number = {6},
  pages = {504--528},
  publisher = {{Academic Press Inc.}},
  issn = {00926566},
  doi = {10.1016/S0092-6566(03)00046-1},
  abstract = {When time is limited, researchers may be faced with the choice of using an extremely brief measure of the Big-Five personality dimensions or using no measure at all. To meet the need for a very brief measure, 5 and 10-item inventories were developed and evaluated. Although somewhat inferior to standard multi-item instruments, the instruments reached adequate levels in terms of: (a) convergence with widely used Big-Five measures in self, observer, and peer reports, (b) test-retest reliability, (c) patterns of predicted external correlates, and (d) convergence between self and observer ratings. On the basis of these tests, a 10-item measure of the Big-Five dimensions is offered for situations where very short measures are needed, personality is not the primary topic of interest, or researchers can tolerate the somewhat diminished psychometric properties associated with very brief measures. © 2003 Elsevier Science (USA). All rights reserved.}
}

@article{grafUseAccelerationCode2015,
  title = {The Use of Acceleration to Code for Animal Behaviours; a Case Study in Free-Ranging {{Eurasian}} Beavers {{Castor}} Fiber},
  author = {Graf, Patricia M. and Wilson, Rory P. and Qasem, Lama and Hackländer, Klaus and Rosell, Frank},
  date = {2015},
  journaltitle = {PLoS ONE},
  volume = {10},
  number = {8},
  pages = {1--17},
  issn = {19326203},
  doi = {10.1371/journal.pone.0136751},
  abstract = {Recent technological innovations have led to the development of miniature, accelerometer-containing electronic loggers which can be attached to free-living animals. Accelerometers provide information on both body posture and dynamism which can be used as descriptors to define behaviour. We deployed tri-axial accelerometer loggers on 12 free-ranging Eurasian beavers Castor fiber in the county of Telemark, Norway, and on four captive beavers (two Eurasian beavers and two North American beavers C. canadensis) to corroborate acceleration signals with observed behaviours. By using random forests for classifying behavioural patterns of beavers from accelerometry data, we were able to distinguish seven behaviours; standing, walking, swimming, feeding, grooming, diving and sleeping. We show how to apply the use of acceleration to determine behaviour, and emphasise the ease with which this non-invasive method can be implemented. Furthermore, we discuss the strengths and weaknesses of this, and the implementation of accelerometry on animals, illustrating limitations, suggestions and solutions. Ultimately, this approach may also serve as a template facilitating studies on other animals with similar locomotor modes and deliver new insights into hitherto unknown aspects of behavioural ecology.},
  file = {/home/fbence/Zotero/storage/NKDSQRD3/Graf et al. - 2015 - The use of acceleration to code for animal behaviours a case study in free-ranging Eurasian beavers Castor fiber.pdf}
}

@article{grossHIV1SuperinfectionViral2004,
  title = {{{HIV-1}} Superinfection and Viral Diversity},
  author = {Gross, Kimber L and Porco, Travis C and Grant, Robert M},
  date = {2004},
  journaltitle = {Aids},
  volume = {18},
  number = {11},
  pages = {1513--1520},
  publisher = {{LWW}}
}

@article{guerrero-higuerasSecuritySafetyCluttered2018,
  title = {Security and {{Safety}} in {{Cluttered Environments}}: {{Tracking People}} with a {{Mobile Robot}} from {{2D LIDAR Scans}} Using {{Full Convolutional Neural Networks}}},
  author = {Guerrero-Higueras, Ángel Manuel and Álvarez-Aparicio, Claudia and Calvo-Olivera, Mar\$\textbackslash backslash\$'\$\textbackslash backslash\$ia Carmen and Rodr\$\textbackslash backslash\$'\$\textbackslash backslash\$iguez-Lera, Francisco Javier and Fernández-Llamas, Camino and Mart\$\textbackslash backslash\$'\$\textbackslash backslash\$in, Francisco and Matellan, Vicente},
  date = {2018},
  journaltitle = {Frontiers in Neurorobotics},
  volume = {12},
  pages = {85},
  publisher = {{Frontiers}}
}

@article{guoEffectHumanoidRobot2019,
  title = {The {{Effect}} of a {{Humanoid Robot}}'s {{Emotional Behaviors}} on {{Users}}' {{Emotional Responses}}: {{Evidence}} from {{Pupillometry}} and {{Electroencephalography Measures}}},
  author = {Guo, Fu and Li, Mingming and Qu, Qingxing and Duffy, Vincent G.},
  date = {2019-03},
  journaltitle = {International Journal of Human-Computer Interaction},
  pages = {1--13},
  publisher = {{Taylor \& Francis}},
  issn = {15327590},
  doi = {10.1080/10447318.2019.1587938},
  url = {https://www.tandfonline.com/doi/full/10.1080/10447318.2019.1587938},
  abstract = {The design of humanoid robots' emotional behaviors has attracted many scholars' attention. However, users' emotional responses to humanoid robots' emotional behaviors which differ from robots' traditional behaviors remain well understood. This study aims to investigate the effect of a humanoid robot's emotional behaviors on users' emotional responses using subjective reporting, pupillometry, and electroencephalography. Five categories of the humanoid robot's emotional behaviors expressing joy, fear, neutral, sadness, or anger were designed, selected, and presented to users. Results show that users have a significant positive emotional response to the humanoid robot's joy behavior and a significant negative emotional response to the humanoid robot's sadness behavior, indicated by the metrics of reported valence and arousal, pupil diameter, frontal middle relative theta power, and frontal alpha asymmetry score. The results suggest that humanoid robot's emotional behaviors can evocate users' significant emotional response. The evocation might relate to the recognition of these emotional behaviors. In addition, the study provides a multimodal physiological method of evaluating users' emotional responses to the humanoid robot's emotional behaviors.}
}

@article{guoUsingAccelerometerHigh2009,
  title = {Using Accelerometer, High Sample Rate {{GPS}} and Magnetometer Data to Develop a Cattle Movement and Behaviour Model},
  author = {Guo, Y. and Poulton, G. and Corke, P. and Bishop-Hurley, G.J. and Wark, T. and Swain, D.L.},
  date = {2009-09},
  journaltitle = {Ecological Modelling},
  volume = {220},
  number = {17},
  pages = {2068--2075},
  publisher = {{Elsevier}},
  issn = {0304-3800},
  doi = {10.1016/J.ECOLMODEL.2009.04.047},
  url = {https://www.sciencedirect.com/science/article/pii/S0304380009003135},
  abstract = {The study described in this paper developed a model of animal movement, which explicitly recognised each individual as the central unit of measure. The model was developed by learning from a real dataset that measured and calculated, for individual cows in a herd, their linear and angular positions and directional and angular speeds. Two learning algorithms were implemented: a Hidden Markov model (HMM) and a long-term prediction algorithm. It is shown that a HMM can be used to describe the animal's movement and state transition behaviour within several “stay” areas where cows remained for long periods. Model parameters were estimated for hidden behaviour states such as relocating, foraging and bedding. For cows' movement between the “stay” areas a long-term prediction algorithm was implemented. By combining these two algorithms it was possible to develop a successful model, which achieved similar results to the animal behaviour data collected. This modelling methodology could easily be applied to interactions of other animal species.},
  file = {/home/fbence/Zotero/storage/WRVHTLLJ/Guo et al. - 2009 - Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model.pdf}
}

@article{hainesUsingComputervisionMachine2019,
  title = {Using Computer-Vision and Machine Learning to Automate Facial Coding of Positive and Negative Affect Intensity},
  author = {Haines, Nathaniel and Southward, Matthew W. and Cheavens, Jennifer S. and Beauchaine, Theodore and Ahn, Woo-Young},
  editor = {Hinojosa, José A.},
  date = {2019-02},
  journaltitle = {PLOS ONE},
  volume = {14},
  number = {2},
  pages = {e0211735},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0211735},
  url = {http://dx.plos.org/10.1371/journal.pone.0211735},
  abstract = {Facial expressions are fundamental to interpersonal communication, including social interaction, and allow people of different ages, cultures, and languages to quickly and reliably convey emotional information. Historically, facial expression research has followed from discrete emotion theories, which posit a limited number of distinct affective states that are represented with specific patterns of facial action. Much less work has focused on dimensional features of emotion, particularly positive and negative affect intensity. This is likely, in part, because achieving inter-rater reliability for facial action and affect intensity ratings is painstaking and labor-intensive. We use computer-vision and machine learning (CVML) to identify patterns of facial actions in 4,648 video recordings of 125 human participants, which show strong correspondences to positive and negative affect intensity ratings obtained from highly trained coders. Our results show that CVML can both (1) determine the importance of different facial actions that human coders use to derive positive and negative affective ratings when combined with interpretable machine learning methods, and (2) efficiently automate positive and negative affect intensity coding on large facial expression databases. Further, we show that CVML can be applied to individual human judges to infer which facial actions they use to generate perceptual emotion ratings from facial expressions.},
  file = {/home/fbence/Zotero/storage/CPEFQXWD/Haines et al. - 2019 - Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity.pdf}
}

@article{hakimCollectiveCellMigration2017,
  title = {Collective Cell Migration: A Physics Perspective},
  author = {Hakim, Vincent and Silberzan, Pascal},
  date = {2017-07},
  journaltitle = {Reports on Progress in Physics},
  volume = {80},
  number = {7},
  pages = {076601},
  issn = {0034-4885},
  doi = {10.1088/1361-6633/aa65ef},
  url = {http://stacks.iop.org/0034-4885/80/i=7/a=076601?key=crossref.b018e931a71e958cf98caf654df4d881}
}

@article{hammondUsingAccelerometersRemotely2016,
  title = {Using Accelerometers to Remotely and Automatically Characterize Behavior in Small Animals},
  author = {Hammond, Talisin T. and Springthorpe, Dwight and Walsh, Rachel E. and Berg-Kirkpatrick, Taylor},
  date = {2016},
  journaltitle = {The Journal of Experimental Biology},
  volume = {219},
  number = {11},
  pages = {1618--1624},
  issn = {0022-0949},
  doi = {10.1242/jeb.136135},
  abstract = {Activity budgets in wild animals are challenging to measure via direct observation because data collection is time consuming and observer effects are potentially confounding. Although tri-axial accelerometers are increasingly employed for this purpose, their application in small-bodied animals has been limited by weight restrictions. Additionally, accelerometers engender novel complications, as a system is needed to reliably map acceleration to behaviors. In this study we describe newly-developed, tiny acceleration-logging devices (1.5-2.5 grams) and use them to characterize behavior in two chipmunk species. We collected paired accelerometer readings and behavioral observations from captive individuals. We then employed techniques from machine learning to develop an automatic system for coding accelerometer readings into behavioral categories. Finally, we deployed and recovered accelerometers from free-living, wild chipmunks. This is the first time to our knowledge that accelerometers have been used to generate behavioral data for small-bodied (\textbackslash textless100 gram), free-living mammals.},
  keywords = {acceleration,activity budget,animal behavior,behavioral ecology,chipmunks,machine learning},
  file = {/home/fbence/Zotero/storage/Q6GRTQ5K/Hammond et al. - 2016 - Using accelerometers to remotely and automatically characterize behavior in small animals.pdf}
}

@report{hansonUpendingUncannyValley2005,
  title = {Upending the {{Uncanny Valley}}},
  author = {Hanson, David and Olney, Andrew and Pereira, Ismar A and Zielke, Marge},
  date = {2005},
  keywords = {American Association for Artificial Intelligence.,Copyright © 2005},
  file = {/home/fbence/Zotero/storage/FHLHPZCJ/Hanson et al. - 2005 - Upending the Uncanny Valley.pdf}
}

@inproceedings{harrellStudentClusterCompetition2015,
  title = {Student Cluster Competition: {{A}} Multi-Disciplinary Undergraduate {{HPC}} Educational Tool},
  booktitle = {Proceedings of {{EduHPC}} 2015: {{Workshop}} on {{Education}} for {{High-Performance Computing}} - {{Held}} in Conjunction with {{SC}} 2015: {{The International Conference}} for {{High Performance Computing}}, {{Networking}}, {{Storage}} and {{Analysis}}},
  author = {Harrell, Stephen Lien and Nam, Hai Ah and Vergara Larrea, Verónica G. and Keville, Kurt and Kamalic, Dan},
  date = {2015-11},
  publisher = {{Association for Computing Machinery, Inc}},
  doi = {10.1145/2831425.2831428},
  abstract = {National labs, academic institutions and industry have a strong need for scientists and staff that understand high performance computing (HPC) and the complex interconnections across individual topics in HPC. However, domain science and computer science undergraduate programs are not providing sufficient educational resources, and are far from conveying the interdisciplinary and collaborative nature of the HPC environment. The Student Cluster Competition (SCC) was created as an educational tool to immerse undergraduates in HPC. It is a microcosm of professional HPC centers that teaches and inspires students to pursue careers in the field. The SCC's impact is reected in new undergraduate curricula and through the experience of the students themselves. The SCC can complement a strong parallel and distributed computing (PDC) curriculum through experiential learning and engagement with the HPC community as a whole, which will prepare graduates for the interdisciplinary nature of work in HPC fields.},
  isbn = {978-1-4503-3961-2},
  keywords = {Curriculum,Education,HPC,PDC,Student Cluster Competition,Undergraduate}
}

@article{hartmannDominanceLeadershipUseful2017,
  title = {Dominance and {{Leadership}}: {{Useful Concepts}} in {{Human}}–{{Horse Interactions}}?},
  author = {Hartmann, Elke and Christensen, Janne W and McGreevy, Paul D},
  date = {2017},
  journaltitle = {Journal of Equine Veterinary Science},
  volume = {52},
  pages = {1--9},
  publisher = {{Elsevier}}
}

@article{heerahCouplingSpectralAnalysis2017,
  title = {Coupling Spectral Analysis and Hidden {{Markov}} Models for the Segmentation of Behavioural Patterns},
  author = {Heerah, Karine and Woillez, Mathieu and Fablet, Ronan and Garren, François and Martin, Stéphane and De Pontual, Hélène},
  date = {2017-12},
  journaltitle = {Movement Ecology},
  volume = {5},
  number = {1},
  pages = {20},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-017-0111-3},
  url = {http://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-017-0111-3},
  abstract = {Movement pattern variations are reflective of behavioural switches, likely associated with different life history traits in response to the animals' abiotic and biotic environment. Detecting these can provide rich information on the underlying processes driving animal movement patterns. However, extracting these signals from movement time series, requires tools that objectively extract, describe and quantify these behaviours. The inference of behavioural modes from movement patterns has been mainly addressed through hidden Markov models. Until now, the metrics implemented in these models did not allow to characterize cyclic patterns directly from the raw time series. To address these challenges, we developed an approach to i) extract new metrics of cyclic behaviours and activity levels from a time-frequency analysis of movement time series, ii) implement the spectral signatures of these cyclic patterns and activity levels into a HMM framework to identify and classify latent behavioural states. To illustrate our approach, we applied it to 40 high-resolution European sea bass depth time series. Our results showed that the fish had different activity regimes, which were also associated (or not) with the spectral signature of different environmental cycles. Tidal rhythms were observed when animals tended to be less active and dived shallower. Conversely, animals exhibited a diurnal behaviour when more active and deeper in the water column. The different behaviours were well defined and occurred at similar periods throughout the annual cycle amongst individuals, suggesting these behaviours are likely related to seasonal functional behaviours (e.g. feeding, migrating and spawning). The innovative aspects of our method lie within the combined use of powerful, but generic, mathematical tools (spectral analysis and hidden Markov Models) to extract complex behaviours from 1-D movement time series. It is fully automated which makes it suitable for analyzing large datasets. HMMs also offer the flexibility to include any additional variable in the segmentation process (e.g. environmental features, location coordinates). Thus, our method could be widely applied in the bio-logging community and contribute to prime issues in movement ecology (e.g. habitat requirements and selection, site fidelity and dispersal) that are crucial to inform mitigation, management and conservation strategies.},
  keywords = {Animal Ecology,Conservation Biology/Ecology,Terrestial Ecology},
  file = {/home/fbence/Zotero/storage/6MAHZVVT/Heerah et al. - 2017 - Coupling spectral analysis and hidden Markov models for the segmentation of behavioural patterns.pdf}
}

@article{hemelaarGlobalTrendsMolecular2011,
  title = {Global Trends in Molecular Epidemiology of {{HIV-1}} during 2000–2007},
  author = {Hemelaar, Joris and Gouws, Eleanor and Ghys, Peter D and Osmanov, Saladin and {Others}},
  date = {2011},
  journaltitle = {AIDS (London, England)},
  volume = {25},
  number = {5},
  pages = {679},
  publisher = {{NIH Public Access}}
}

@article{hoangCowBehaviorMonitoring2018,
  title = {Cow {{Behavior Monitoring Using}} a {{Multidimensional Acceleration Sensor}} and {{Multiclass SVM}}},
  author = {Hoang, Quang-Trung and Phi Khanh, Phung Cong and Ninh, Bui Trung and Phuong Dung, Chu Thi and Tran, Tan Duc},
  date = {2018},
  journaltitle = {International Journal of Machine Learning and Networked Collaborative Engineering},
  volume = {2},
  number = {3},
  pages = {110--118},
  doi = {10.30991/ijmlnce.2018v02i03.003},
  abstract = {The daily behavior of dairy cows reflects the health status and well being. An automated monitoring system is needed for suitable management. It helps farmers to have a comprehensive view of the cattle healthy and manage large of cows. Acceleration sensors can be found in various kinds of applications. In this paper, we detect the cow's activities by using a multidimensional acceleration sensor and multiclass support vector machine (SVM). The acceleration sensor is attached to the cow's neck-collar in order to sense the movements in X, Y, and Z axes. The data is brought to a microprocessor for pre-processing, and join in a wireless sensor network (WSN) through a Zigbee module. After that, the data are transferred to the server. At the server, a suitable SVM algorithm is chosen and applied to classify four main behaviors: standing, lying, feeding and walking. A well know kernels, Radius Basic Function (RBF), is chosen. After that, a cross validation (k-fold) is used to measure the error and select the best fit model. The sensor is used to acquire experimental data from Vietnam Yellow cows in the cattle farm. The promising results with the average sensitivity of 87.51\%, and the average precision of 90.24\% confirm the reliability of our solution. The classification results can be automatically uploaded to the cloud internet and the farmer can easily access to check the status of his cows.},
  isbn = {0000000160469},
  file = {/home/fbence/Zotero/storage/RJ7TXNSS/Hoang et al. - 2018 - Cow Behavior Monitoring Using a Multidimensional Acceleration Sensor and Multiclass SVM.pdf}
}

@article{hollingsworthHIV1TransmissionStage2008,
  title = {{{HIV-1}} Transmission, by Stage of Infection},
  author = {Hollingsworth, T Déirdre and Anderson, Roy M and Fraser, Christophe},
  date = {2008},
  journaltitle = {Journal of Infectious Diseases},
  volume = {198},
  number = {5},
  pages = {687--693},
  publisher = {{Oxford University Press}}
}

@article{hookerBiologgingScienceLogging2007,
  title = {Bio-Logging Science: {{Logging}} and Relaying Physical and Biological Data Using Animal-Attached Tags},
  author = {Hooker, Sascha K. and McConnell, Bernie J. and Sparling, Carol E.},
  date = {2007-02},
  journaltitle = {Deep Sea Research Part II: Topical Studies in Oceanography},
  volume = {54},
  number = {3-4},
  pages = {177--182},
  publisher = {{Pergamon}},
  issn = {0967-0645},
  doi = {10.1016/J.DSR2.2007.01.001},
  url = {https://www.sciencedirect.com/science/article/pii/S0967064507000021?via\{\\%\}3Dihub}
}

@misc{hookerBiologgingScienceLogging2007a,
  title = {Bio-Logging Science: {{Logging}} and Relaying Physical and Biological Data Using Animal-Attached Tags},
  author = {Hooker, Sascha K. and McConnell, Bernie J. and Sparling, Carol E.},
  date = {2007},
  journaltitle = {Deep Sea Research Part II: Topical Studies in Oceanography},
  volume = {54},
  number = {3},
  pages = {177--182},
  issn = {09670645},
  doi = {10.1016/j.dsr2.2007.01.001},
  url = {https://www.sciencedirect.com/science/article/pii/S0967064507000021}
}

@article{hoRevisitingUncannyValley2010,
  title = {Revisiting the Uncanny Valley Theory: {{Developing}} and Validating an Alternative to the {{Godspeed}} Indices},
  author = {Ho, Chin Chang and MacDorman, Karl F.},
  date = {2010-11},
  journaltitle = {Computers in Human Behavior},
  volume = {26},
  number = {6},
  pages = {1508--1518},
  publisher = {{Pergamon}},
  issn = {07475632},
  doi = {10.1016/j.chb.2010.05.015},
  abstract = {Mori (1970) proposed a hypothetical graph describing a nonlinear relation between a character's degree of human likeness and the emotional response of the human perceiver. However, the index construction of these variables could result in their strong correlation, thus preventing rated characters from being plotted accurately. Phase 1 of this study tested the indices of the Godspeed questionnaire as measures of humanlike characters. The results indicate significant and strong correlations among the relevant indices (Bartneck, Kulić, Croft, \& Zoghbi, 2009). Phase 2 of this study developed alternative indices with nonsignificant correlations (p \textbackslash textgreater .05) between the proposed y-axis eeriness and x-axis perceived humanness (r = .02). The new humanness and eeriness indices facilitate plotting relations among rated characters of varying human likeness. © 2010 Elsevier Ltd. All rights reserved.},
  keywords = {Affective appraisal,Embodied agents,Human-robot interaction,Psychometric scales,Social perception},
  file = {/home/fbence/Zotero/storage/MF4KZ9ML/Ho, MacDorman - 2010 - Revisiting the uncanny valley theory Developing and validating an alternative to the Godspeed indices.pdf}
}

@article{hounslowAssessingEffectsSampling2019,
  title = {Assessing the Effects of Sampling Frequency on Behavioural Classification of Accelerometer Data},
  author = {Hounslow, J. L. and Brewster, L. R. and Lear, K. O. and Guttridge, T. L. and Daly, R. and Whitney, N. M. and Gleiss, A. C.},
  date = {2019},
  journaltitle = {Journal of Experimental Marine Biology and Ecology},
  volume = {512},
  pages = {22--30},
  issn = {00220981},
  doi = {10.1016/j.jembe.2018.12.003},
  abstract = {Understanding the behaviours of free-ranging animals over biologically meaningful time scales (e.g., diel, tidal, lunar, seasonal, annual) gives unique insight into their ecology. Bio-logging tools such as accelerometers allow the remote study of elusive or inaccessible animals by recording high resolution movement data. Machine learning (ML) is becoming a common tool for automatic classification of behaviours from these types of large data sets. These classifiers often perform best using high sampling frequencies; however, these frequencies also limit archival device recording duration through elevated battery and memory use. In this study we assess the effect of sampling frequency on a ML algorithm's ability to correctly classify behaviours from accelerometer data and present a framework for programming bio-logging devices that maintains classifier performance while optimizing data collection duration. Accelerometer data (30 Hz) were collected from juvenile lemon sharks (Negaprion brevirostris) during semi-captive trials at Bimini, Bahamas, and were ground-truthed to a discrete catalogue of behaviours through direct observation of sharks during trials. The ground-truthed data were re-sampled to a range of sampling frequencies (30, 15, 10, 5, 3 and 1 Hz) and behaviours (swim, rest, burst, chafe, headshake) were classified using a random forest ML algorithm. We demonstrate that as sampling frequency decreases, classifier performance decreases. Best overall classification was achieved at 30 Hz (F-score \textbackslash textgreater 0.790), although 5 Hz was appropriate for classification of swim and rest (F-score \textbackslash textgreater 0.964). For fine-scale behaviours characterised by faster kinematics (headshake, burst and chafe), classification performance was lower across the entire range of sampling frequencies (0.535–0.846, 1–30 Hz), though did not decrease significantly until sampling frequency was \textbackslash textless5 Hz. We discuss the effects of signal aliasing and recommend that for best classification of fine-scale behaviours, frequencies \textbackslash textgreater5 Hz are required. However, when seeking to maximise the available device memory and battery capacity and therefore extend deployment duration, 5 Hz is an appropriate sampling frequency for classifying behaviours in similar-sized animals.},
  issue = {January},
  keywords = {Bio-logging,Elasmobranch,Machine learning,Nyquist frequency,Random forest algorithm},
  file = {/home/fbence/Zotero/storage/TQP3N32K/Hounslow et al. - 2019 - Assessing the effects of sampling frequency on behavioural classification of accelerometer data.pdf}
}

@inproceedings{hoverUncannySexyThreatening2021,
  title = {Uncanny, Sexy, and Threatening Robots: {{The}} Online Community's Attitude to and Perceptions of Robots Varying in Humanlikeness and Gender},
  booktitle = {{{ACM}}/{{IEEE International Conference}} on {{Human-Robot Interaction}}},
  author = {Hover, Quirien R.M. and Velner, Ella and Beelen, Thomas and Boon, Mieke and Truong, Khiet P.},
  date = {2021-03},
  pages = {119--128},
  publisher = {{IEEE Computer Society}},
  issn = {21672148},
  doi = {10.1145/3434073.3444661},
  url = {https://doi.org/10.1145/3434073.3444661},
  abstract = {To get a better understanding of people's natural responses to humanlike robots outside the lab, we analyzed commentary on online videos depicting robots of different humanlikeness and gender. We built on previous work, which compared online video commentary of moderately and highly humanlike robots with respect to valence, uncanny valley, threats, and objectification. Additionally, we took into account the robot's gender, its appearance, its societal impact, the attribution of mental states, and how people attribute human stereotypes to robots. The results are mostly in line with previous work. Overall, the findings indicate that moderately humanlike robot design may be preferable over highly humanlike robot design because it is less associated with negative attitudes and perceptions. Robot designers should therefore be cautious when designing highly humanlike and gendered robots.},
  isbn = {978-1-4503-8289-2},
  keywords = {Attitude,Human-robot interaction,Humanlikeness,Online commentary,Perception,Robot gender,Sexualization,Threat,Uncanny valley},
  file = {/home/fbence/Zotero/storage/D3CHCIJE/Hover et al. - 2021 - Uncanny, sexy, and threatening robots The online community's attitude to and perceptions of robots varying in huma.pdf}
}

@incollection{hurwitzExploringDistributedLeadership2018,
  title = {Exploring {{Distributed Leadership}}: {{A Leader}}–{{Follower Collaborative Lens}}},
  booktitle = {Distributed {{Leadership}}},
  author = {Hurwitz, Marc},
  date = {2018},
  pages = {1--25},
  publisher = {{Springer}}
}

@book{inamoratodossantosInnovatingProfessionalDevelopment2019,
  title = {Innovating Professional Development in Higher Education : An Analysis of Practices.},
  author = {INAMORATO DOS SANTOS, Andreai and GAUSAS, Simonas and MACKEVICIUTE, Raimonda and JOTAUTYTE, Aiste and MARTINAITIS, Žilvinas},
  date = {2019},
  publisher = {{Publications Office of the European Union}},
  abstract = {This report presents a discussion on how innovative professional development practices in higher education can help improve the teaching and the career progression of academics. It explores successful models and provides policy recommendations for higher education institutions and EU Member States. It accompanies the technical report 'Innovating Professional Development in Higher Education: Case Studies', JRC 2019.},
  isbn = {978-92-76-00580-3}
}

@article{jeanniard-du-dotAccelerometersCanMeasure2017,
  title = {Accelerometers Can Measure Total and Activity-Specific Energy Expenditures in Free-Ranging Marine Mammals Only If Linked to Time-Activity Budgets},
  author = {Jeanniard-du-Dot, Tiphaine and Guinet, Christophe and Arnould, John P.Y. and Speakman, John R. and Trites, Andrew W.},
  date = {2017},
  journaltitle = {Functional Ecology},
  volume = {31},
  number = {2},
  pages = {377--386},
  issn = {13652435},
  doi = {10.1111/1365-2435.12729},
  abstract = {© 2016 The Authors. Functional Ecology © 2016 British Ecological Society Energy expenditure is an important component of foraging ecology, but is extremely difficult to estimate in free-ranging animals and depends on how animals partition their time between different activities during foraging. Acceleration data have emerged as a new way to determine energy expenditure at a fine scale but this needs to be tested and validated in wild animals. This study investigated whether vectorial dynamic body acceleration (VeDBA) could accurately predict the energy expended by marine predators during a full foraging trip. We also aimed to determine whether the accuracy of predictions of energy expenditure derived from acceleration increased when partitioned by different types of at-sea activities (i.e. diving, transiting, resting and surface activities). To do so, we equipped 20 lactating northern (Callorhinus ursinus) and 20 lactating Antarctic fur seals (Arctocephalus gazella) with GPS, time-depth recorders and tri-axial accelerometers and obtained estimates of field metabolic rates using the doubly labelled water (DLW) method. VeDBA was derived from tri-axial acceleration, and at-sea activities (diving, transiting, resting and surface activities) were determined using dive depth, tri-axial acceleration and travelling speed. We found that VeDBA did not accurately predict the total energy expended by fur seals during their full foraging trips (R2 = 0·36). However, the accuracy of VeDBA as a predictor of total energy expenditure increased significantly when foraging trips were partitioned by activity and when activity-specific VeDBA was paired with time-activity budgets (R2 = 0·70). Activity-specific VeDBA also accurately predicted the energy expenditures of each activity independent of each other (R2 \textbackslash textgreater 0·85). Our study confirms that acceleration is a promising way to estimate energy expenditures of free-ranging marine mammals at a fine scale never attained before. However, it shows that it needs to be based on the time-activity budgets that make up foraging trips rather than being derived as a single measure of VeDBA applied to entire foraging trips. Our activity-based method provides a cost-effective means to accurately calculate energy expenditures of fur seals using acceleration and time-activity budgets, that can be transfered to studies on other species.},
  keywords = {acceleration,Antarctic fur seal,energy expenditure,foraging,metabolic rate,northern fur seal,time-activity budget,VeDBA},
  file = {/home/fbence/Zotero/storage/WPLHNAHQ/Jeanniard-du-Dot et al. - 2017 - Accelerometers can measure total and activity-specific energy expenditures in free-ranging marine mamma.pdf}
}

@article{jeantetCombinedUseTwo2018,
  title = {Combined Use of Two Supervised Learning Algorithms to Model Sea Turtle Behaviours from Tri-Axial Acceleration Data},
  author = {Jeantet, L. and Dell'Amico, F. and Forin-Wiart, M. A. and Coutant, M. and Bonola, M. and Etienne, D. and Gresser, J. and Regis, S. and Lecerf, N. and Lefebvre, F. and De Thoisy, B. and Le Maho, Y. and Brucker, M. and Châtelain, N. and Laesser, R. and Crenner, F. and Handrich, Y. and Wilson, R. and Chevallier, D.},
  date = {2018-05},
  journaltitle = {Journal of Experimental Biology},
  volume = {221},
  number = {10},
  publisher = {{Company of Biologists Ltd}},
  issn = {00220949},
  doi = {10.1242/jeb.177378},
  abstract = {Accelerometers are becoming ever more important sensors in animal-attached technology, providing data that allow determination of body posture and movement and thereby helping to elucidate behaviour in animals that are difficult to observe. We sought to validate the identification of sea turtle behaviours from accelerometer signals by deploying tags on the carapace of a juvenile loggerhead (Caretta caretta), an adult hawksbill (Eretmochelys imbricata) and an adult green turtle (Chelonia mydas) at Aquarium La Rochelle, France. We recorded tri-axial acceleration at 50 Hz for each species for a full day while two fixed cameras recorded their behaviours. We identified behaviours from the acceleration data using two different supervised learning algorithms, Random Forest and Classification And Regression Tree (CART), treating the data from the adult animals as separate from the juvenile data. We achieved a global accuracy of 81.30\% for the adult hawksbill and green turtle CART model and 71.63\% for the juvenile loggerhead, identifying 10 and 12 different behaviours, respectively. Equivalent figures were 86.96\% for the adult hawksbill and green turtle Random Forest model and 79.49\% for the juvenile loggerhead, for the same behaviours. The use of Random Forest combined with CART algorithms allowed us to understand the decision rules implicated in behaviour discrimination, and thus remove or group together some ‘confused' or under-represented behaviours in order to get the most accurate models. This study is the first to validate accelerometer data to identify turtle behaviours and the approach can now be tested on other captive sea turtle species.},
  keywords = {Accelerometry,Endangered species,Supervised learning algorithms}
}

@article{kalishRecombinantVirusesEarly2004,
  title = {Recombinant Viruses and Early Global {{HIV-1}} Epidemic},
  author = {Kalish, Marcia L and Robbins, Kenneth E and Pieniazek, Danuta and Schaefer, Amanda and Nzilambi, Nzila and Quinn, Thomas C and St Louis, Michael E and Youngpairoj, Ae S and Phillips, Jonathan and Jaffe, Harold W and {Others}},
  date = {2004},
  journaltitle = {Emerg Infect Dis},
  volume = {10},
  number = {7},
  pages = {1227--1234}
}

@article{kalmanPatternsUniversityTeachers2019,
  title = {Patterns of University Teachers' Approaches to Teaching, Professional Development and Perceived Departmental Cultures},
  author = {Kálmán, Orsolya and Tynjälä, Päivi and Skaniakos, Terhi},
  date = {2019-03},
  journaltitle = {Teaching in Higher Education},
  pages = {1--20},
  issn = {1356-2517},
  doi = {10.1080/13562517.2019.1586667},
  url = {https://www.tandfonline.com/doi/full/10.1080/13562517.2019.1586667}
}

@report{kaplanRoboticClickerTraining2002,
  title = {Robotic Clicker Training},
  author = {Kaplan, Frédéric and Oudeyer, Pierre-Yves and Kubinyi, Enikö and Miklósi, Adám},
  date = {2002},
  journaltitle = {Robotics and Autonomous Systems},
  volume = {38},
  pages = {197--206},
  abstract = {In this paper, we want to propose the idea that some techniques used for animal training might be helpful for solving human-robot interaction problems in the context of entertainment robotics. We present a model for teaching complex actions to an animal-like autonomous robot based on "clicker training", a method used efficiently by professional trainers for animals of different species. After describing our implementation of clicker training on an enhanced version of AIBO, Sony's four-legged robot, we argue that this new method can be a promising technique for teaching unusual behavior and sequences of actions to a pet robot.},
  keywords = {Dog training techniques,Pet robots,Robot training},
  file = {/home/fbence/Zotero/storage/YNV5MEMQ/Kaplan et al. - 2002 - Robotic clicker training.pdf}
}

@book{kauffmanHomeUniverseSearch1996,
  title = {At Home in the Universe: {{The}} Search for the Laws of Self-Organization and Complexity},
  author = {Kauffman, Stuart},
  date = {1996},
  publisher = {{Oxford university press}}
}

@article{kaulHIV1specificMucosalCD82000,
  title = {{{HIV-1-specific}} Mucosal {{CD8}}+ Lymphocyte Responses in the Cervix of {{HIV-1-resistant}} Prostitutes in {{Nairobi}}},
  author = {Kaul, Rupert and Plummer, Francis A and Kimani, Joshua and Dong, Tao and Kiama, Peter and Rostron, Timothy and Njagi, Ephantus and MacDonald, Kelly S and Bwayo, Job J and McMichael, Andrew J and {Others}},
  date = {2000},
  journaltitle = {The Journal of Immunology},
  volume = {164},
  number = {3},
  pages = {1602--1611},
  publisher = {{Am Assoc Immnol}}
}

@article{kawashimaAdaptationHIV1Human2009,
  title = {Adaptation of {{HIV-1}} to Human Leukocyte Antigen Class {{I}}},
  author = {Kawashima, Yuka and Pfafferott, Katja and Frater, John and Matthews, Philippa and Payne, Rebecca and Addo, Marylyn and Gatanaga, Hiroyuki and Fujiwara, Mamoru and Hachiya, Atsuko and Koizumi, Hirokazu and {Others}},
  date = {2009},
  journaltitle = {Nature},
  volume = {458},
  number = {7238},
  pages = {641--645},
  publisher = {{Nature Publishing Group}}
}

@article{kaysEffectFeedingTime2011,
  title = {The Effect of Feeding Time on Dispersal of {{Virola}} Seeds by Toucans Determined from {{GPS}} Tracking and Accelerometers},
  author = {Kays, Roland and Jansen, Patrick A. and Knecht, Elise M.H. and Vohwinkel, Reinhard and Wikelski, Martin},
  date = {2011-11},
  journaltitle = {Acta Oecologica},
  volume = {37},
  number = {6},
  pages = {625--631},
  publisher = {{Elsevier Masson}},
  issn = {1146-609X},
  doi = {10.1016/J.ACTAO.2011.06.007},
  url = {https://www.sciencedirect.com/science/article/pii/S1146609X1100107X},
  abstract = {Seed dispersal is critical to understanding forest dynamics but is hard to study because tracking seeds is difficult. Even for the best-studied dispersal system of the Neotropics, Virola nobilis, the dispersal kernel remains unknown. We combined high-resolution GPS/3D-acceleration bird tracking, seed-retention experiments, and field observations to quantify dispersal of V. nobilis by their principal dispersers, Ramphastos toucans. We inferred feeding events from movement data, and then estimated spatio-temporally explicit seed-dispersal kernels. Wild toucans moved an average of 1.8 km d−1 with two distinct activity peaks. Seed retention time in captive toucans averaged 25.5 min (range 4–98 min). Estimated seed dispersal distance averaged 144 ± 147 m, with a 56\% likelihood of dispersal \textbackslash textgreater100 m, two times further than the behaviour-naive estimate from the same data. Dispersal was furthest for seeds ingested in the morning, and increased with seed retention time, but only up to 60 min after feeding. Our study supports the long-standing hypothesis that toucans are excellent dispersers of Virola seeds. To maximize seed dispersal distances trees should ripen fruit in the morning when birds move the most, and produce fruits with gut-processing times around 60 min. Our study demonstrates how new tracking technology can yield nuanced seed dispersal kernels for animals that cannot be directly observed.},
  file = {/home/fbence/Zotero/storage/MLZ8JCFL/Kays et al. - 2011 - The effect of feeding time on dispersal of Virola seeds by toucans determined from GPS tracking and accelerometers.pdf}
}

@article{kaysMultinomialAnalysisBehavior2019,
  title = {Multinomial Analysis of Behavior: Statistical Methods},
  author = {Kays, Roland and Tilak, Sameer and Crofoot, Margaret and Fountain, Tony and Obando, Daniel and Ortega, Alejandro and Kuemmeth, Franz and Mandel, Jamie and Swenson, George and Lambert, Thomas and Hirsch, Ben and Wikelski, Martin and González, L. A. and Bishop-Hurley, G. J. and Handcock, R. N. and Crossman, C. and Breiman, Leo and Koster, Jeremy and McElreath, Richard and Papworth, Sarah K. and Bunnefeld, Nils and Slocombe, Katie and Milner-Gulland, E. J. and Del Rosario, Michael B. and Lovell, Nigel H. and Redmond, Stephen J.},
  date = {2019},
  journaltitle = {Behavioral Ecology and Sociobiology},
  volume = {19},
  number = {3},
  pages = {199--215},
  issn = {2041210X},
  doi = {10.3390/s19132845},
  abstract = {Features were developed which accounted for the changing orientation of the inertial measurement unit (IMU) relative to the body, and demonstrably improved the performance of models for human activity recognition (HAR). The method is proficient at separating periods of standing and sedentary activity (i.e., sitting and/or lying) using only one IMU, even if it is arbitrarily oriented or subsequently re-oriented relative to the body; since the body is upright during walking, learning the IMU orientation during walking provides a reference orientation against which sitting and/or lying can be inferred. Thus, the two activities can be identified (irrespective of the cohort) by analyzing the magnitude of the angle of shortest rotation which would be required to bring the upright direction into coincidence with the average orientation from the most recent 2.5 s of IMU data. Models for HAR were trained using data obtained from a cohort of 37 older adults (83.9 ± 3.4 years) or 20 younger adults (21.9 ± 1.7 years). Test data were generated from the training data by virtually re-orienting the IMU so that it is representative of carrying the phone in five different orientations (relative to the thigh). The overall performance of the model for HAR was consistent whether the model was trained with the data from the younger cohort, and tested with the data from the older cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.782, 0.793]; total class sensitivity 95\% confidence interval [84.9\%, 85.6\%]), or the reciprocal scenario in which the model was trained with the data from the older cohort, and tested with the data from the younger cohort after it had been virtually re-oriented (Cohen's Kappa 95\% confidence interval [0.765, 0.784]; total class sensitivity 95\% confidence interval [82.3\%, 83.7\%]).},
  keywords = {Accelerometer,Automatic,Behavior,Feature engineering,Focal observations,Generalized linear mixed models,GPS,Habitats - conservation,Human activity recognition,Livestock,Multinomial logistic regression,Quaternion,RStan,Scan sampling,Sensor fusion,Smartphone,Spatial or time-series - statistics,Wireless},
  file = {/home/fbence/Zotero/storage/7ZTJ7JK9/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf;/home/fbence/Zotero/storage/ED3RT27I/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf;/home/fbence/Zotero/storage/YNAGCLPM/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf;/home/fbence/Zotero/storage/YNQNLPQE/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf;/home/fbence/Zotero/storage/ZX6S8UK7/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf}
}

@article{kaysTrackingAnimalLocation2011,
  title = {Tracking {{Animal Location}} and {{Activity}} with an {{Automated Radio Telemetry System}} in a {{Tropical Rainforest}}},
  author = {Kays, Roland and Tilak, Sameer and Crofoot, Margaret and Fountain, Tony and Obando, Daniel and Ortega, Alejandro and Kuemmeth, Franz and Mandel, Jamie and Swenson, George and Lambert, Thomas and Hirsch, Ben and Wikelski, Martin},
  date = {2011-11},
  journaltitle = {The Computer Journal},
  volume = {54},
  number = {12},
  pages = {1931--1948},
  publisher = {{Oxford Academic}},
  issn = {0010-4620},
  doi = {10.1093/comjnl/bxr072}
}

@article{khanhClassificationCowBehavior2016,
  title = {Classification of Cow Behavior Using 3-{{DOF}} Accelerometer and Decision Tree Algorithm},
  author = {Khanh, Phung Cong Phi and Dinh Chinh, Nguyen and Cham, Trinh Thi and Vui, Pham Thi and Tan, Tran Duc},
  date = {2016},
  journaltitle = {BME-HUST 2016 - 3rd International Conference on Biomedical Engineering},
  pages = {45--50},
  doi = {10.1109/BME-HUST.2016.7782100},
  abstract = {Monitoring cattle motion is essential, since it helps farmers to take a comprehensive view of the cattle's health and estrus time. However, the issue is not able to supervise the cattle in a long time and raising many cattle especially. Therefore, this paper aim to build a device which can sense the states of behavior actives and researches a method to prognosticate the cattle's health by using a cattle monitoring device that can record the 3-axis acceleration to analyze. This sensor is used to measure three-axis accelerometer data on the natural behavior of Vietnamese Yellow cows that live in a cage. The data of the accelerometer output signal are used to modify a simple behavioral classification such as: lying, standing and feeding. Therefore, we can identify some of cattle health events like lameness and estrus cycle. The classification results were tested with the model of the cow.},
  isbn = {9781509010974},
  keywords = {Accelerometer,Cow behavior,Decision tree},
  file = {/home/fbence/Zotero/storage/QHSKVM9Y/Khanh et al. - 2016 - Classification of cow behavior using 3-DOF accelerometer and decision tree algorithm.pdf}
}

@article{kimElizaUncannyValley2019,
  title = {Eliza in the Uncanny Valley: Anthropomorphizing Consumer Robots Increases Their Perceived Warmth but Decreases Liking},
  author = {Kim, Seo Young and Schmitt, Bernd H. and Thalmann, Nadia M.},
  date = {2019-03},
  journaltitle = {Marketing Letters},
  volume = {30},
  number = {1},
  pages = {1--12},
  publisher = {{Springer New York LLC}},
  issn = {09230645},
  doi = {10.1007/s11002-019-09485-9},
  url = {https://link.springer.com/article/10.1007/s11002-019-09485-9},
  abstract = {Consumer robots are predicted to be employed in a variety of customer-facing situations. As these robots are designed to look and behave like humans, consumers attribute human traits to them—a phenomenon known as the “Eliza Effect.” In four experiments, we show that the anthropomorphism of a consumer robot increases psychological warmth but decreases attitudes, due to uncanniness. Competence judgments are much less affected and not subject to a decrease in attitudes. The current research contributes to research on artificial intelligence, anthropomorphism, and the uncanny valley phenomenon. We suggest to managers that they need to make sure that the appearances and behaviors of robots are not too human-like to avoid negative attitudes toward robots. Moreover, managers and researchers should collaborate to determine the optimal level of anthropomorphism.},
  keywords = {Anthropomorphism,Competence,Consumer robots,Uncanny valley,Warmth},
  file = {/home/fbence/Zotero/storage/R5JL53Q6/Kim, Schmitt, Thalmann - 2019 - Eliza in the uncanny valley anthropomorphizing consumer robots increases their perceived warmth but decr.pdf}
}

@article{kingHomeRangeHabitat2002,
  title = {Home Range and Habitat Use of Free-Ranging {{Przewalski}} Horses at {{Hustai National Park}}, {{Mongolia}}},
  author = {King, S R B},
  date = {2002},
  journaltitle = {Applied Animal Behaviour Science},
  volume = {78},
  number = {2},
  pages = {103--113},
  publisher = {{Elsevier}}
}

@book{kirkpatrickEvaluatingTrainingPrograms1994,
  title = {Evaluating Training Programs : The Four Levels},
  author = {Kirkpatrick, Donald L.},
  date = {1994},
  publisher = {{Berrett-Koehler}},
  abstract = {1st ed. Includes index. This book is a comprehensive step-by-step guide to evaluating training programs-from the creator of the Kirkpatrick Model, the most widely used approach for evaluating training programs in industry, business, government, and academic institutions. It also provides detailed case studies of how the model is being used successfully in a wide range of programs and institutions. Foreword / Dave Basarab – Preface – Part 1. Concepts, principles, guidelines, and techniques – 1. Evaluating : part of a ten-step process – 2. Reasons for evaluating – 3. The four levels : an overview – 4. Evaluating reaction – 5. Evaluating learning – 6. Evaluating behavior – 7. Evaluating results – 8. Implementing the four levees – Part 2. Case studies of implementation. 9. Evaluating a training program for nonexempt employees : First Union National Back – 10. Evaluating a training course on performance appraisal and coaching : Kemper National Insurance Companies – 11. Implementing the Kirkpatrick Model as an up-front analysis and evaluation tool : Intel Corporation – 12. Evaluating the creative manager training program : Motorola Corporation – 13. Evaluating an outdoor-based training program : St. Luke's hospital – 14. IBM takes the guessing out of testing : IBM Corporation – 15. Evaluating a training program on presentation skills : Arthur Andersen \& Company – 16. Evaluating a training program for district managers : a large automotive company – 17. Evaluating a training program on developing supervisory skills : Management Institute, University of Wisconsin – 18. Evaluating a sales training program : Hobart Corporation – 19. Subjective return on investment : Hughes Aircraft Company – 20. The bottom line : CIGNA Corporation – 21. Making a play for training evaluation : Montac, a fictitious company – Index.},
  isbn = {1-881052-49-4},
  pagetotal = {229}
}

@book{kirkpatrickEvaluatingTrainingPrograms1994a,
  title = {Evaluating Training Programs : The Four Levels},
  author = {Kirkpatrick, Donald L.},
  date = {1994},
  publisher = {{Berrett-Koehler}},
  url = {https://eric.ed.gov/?id=ED382790},
  abstract = {1st ed. Includes index. This book is a comprehensive step-by-step guide to evaluating training programs-from the creator of the Kirkpatrick Model, the most widely used approach for evaluating training programs in industry, business, government, and academic institutions. It also provides detailed case studies of how the model is being used successfully in a wide range of programs and institutions. Foreword / Dave Basarab – Preface – Part 1. Concepts, principles, guidelines, and techniques – 1. Evaluating : part of a ten-step process – 2. Reasons for evaluating – 3. The four levels : an overview – 4. Evaluating reaction – 5. Evaluating learning – 6. Evaluating behavior – 7. Evaluating results – 8. Implementing the four levees – Part 2. Case studies of implementation. 9. Evaluating a training program for nonexempt employees : First Union National Back – 10. Evaluating a training course on performance appraisal and coaching : Kemper National Insurance Companies – 11. Implementing the Kirkpatrick Model as an up-front analysis and evaluation tool : Intel Corporation – 12. Evaluating the creative manager training program : Motorola Corporation – 13. Evaluating an outdoor-based training program : St. Luke's hospital – 14. IBM takes the guessing out of testing : IBM Corporation – 15. Evaluating a training program on presentation skills : Arthur Andersen \& Company – 16. Evaluating a training program for district managers : a large automotive company – 17. Evaluating a training program on developing supervisory skills : Management Institute, University of Wisconsin – 18. Evaluating a sales training program : Hobart Corporation – 19. Subjective return on investment : Hughes Aircraft Company – 20. The bottom line : CIGNA Corporation – 21. Making a play for training evaluation : Montac, a fictitious company – Index.},
  isbn = {1-881052-49-4},
  pagetotal = {229}
}

@article{kirkpatrickGreatIdeasRevisited1996,
  title = {Great {{Ideas Revisited}}: {{Revisiting Kirkpatrick}}'s {{Four-Level Model}}.},
  author = {Kirkpatrick, Donald L.},
  date = {1996},
  journaltitle = {Training and Development},
  number = {50},
  pages = {54--57}
}

@article{kiwanukaHIV1SubtypesDifferences2009,
  title = {{{HIV-1}} Subtypes and Differences in Heterosexual {{HIV}} Transmission among {{HIV-discordant}} Couples in {{Rakai}}, {{Uganda}}},
  author = {Kiwanuka, Noah and Laeyendecker, Oliver and Quinn, Thomas C and Wawer, Maria J and Shepherd, James and Robb, Merlin and Kigozi, Godfrey and Kagaayi, Joseph and Serwadda, David and Makumbi, Fred E and {Others}},
  date = {2009},
  journaltitle = {AIDS (London, England)},
  volume = {23},
  number = {18},
  pages = {2479},
  publisher = {{NIH Public Access}}
}

@book{knightHigherEducationTurmoil2008,
  title = {Higher {{Education}} in {{Turmoil}}},
  author = {Knight, Jane},
  date = {2008-01},
  publisher = {{SENSE PUBLISHERS}},
  doi = {10.1163/9789087905224},
  abstract = {Internationalization is a pervasive force shaping and challenging higher education as it faces the new realities and turbulence of globalization. In a thoughtful and provocative way, this book provides a critical perspective on the rationales, benefi ts, risks, strategies, and outcomes of internationalization. A look at the diversity of approaches to internationalization across institutions and countries around the world emphasizes that " one size does not fi t all " when it comes to integrating interna-tional and intercultural dimensions into the teaching, learning, research, and service functions of higher education. This book will help academic leaders, policy makers, and international education professionals understand the increasing complexities of internationalization and the current controversial issues related to quality assur-ance, accreditation, trade agreements, commercialization, competitiveness, research, cultural homogenization, and regionalization. Dr. Jane Knight focuses her research and professional interests on the international dimension of higher education at the institutional, system, national, and international levels. Her work in over 60 countries of the world helps to bring a comparative, development and international policy perspective to her research, teaching and policy work. She is the author/editor of many publications on internationalisation concepts and strategies, quality assurance, institutional management, mobility, cross-border education, trade, and capacity building.}
}

@article{koayHeyThereSomeone2013,
  title = {Hey! {{There}} Is Someone at Your Door. {{A}} Hearing Robot Using Visual Communication Signals of Hearing Dogs to Communicate Intent},
  author = {Koay, K. L. and Lakatos, G. and Syrdal, D. S. and Gácsi, M. and Bereczky, B. and Dautenhahn, K. and Miklósi, A. and Walters, M. L.},
  date = {2013},
  journaltitle = {IEEE Symposium on Artificial Life (ALIFE)},
  volume = {2013-Janua},
  pages = {90--97},
  issn = {21606382},
  doi = {10.1109/ALIFE.2013.6602436},
  abstract = {This paper presents a study of the readability of doginspired visual communication signals in a human-robot interaction scenario. This study was motivated by specially trained hearing dogs which provide assistance to their deaf owners by using visual communication signals to lead them to the sound source. For our human-robot interaction scenario, a robot was used in place of a hearing dog to lead participants to two different sound sources. The robot was preprogrammed with dog-inspired behaviors, controlled by a wizard who directly implemented the dog behavioral strategy on the robot during the trial. By using dog-inspired visual communication signals as a means of communication, the robot was able to lead participants to the sound sources (the microwave door, the front door). Findings indicate that untrained participants could correctly interpret the robot's intentions. Head movements and gaze directions were important for communicating the robot's intention using visual communication signals.},
  isbn = {9781467358637},
  issue = {January},
  keywords = {Human-robot interaction,Robot behaviour,Robotic home companion,Social robot},
  file = {/home/fbence/Zotero/storage/HRTT5YBF/Koay et al. - 2013 - Hey! There is someone at your door. A hearing robot using visual communication signals of hearing dogs to communica.pdf}
}

@article{koaySocialRolesBaseline2014,
  title = {Social {{Roles}} and {{Baseline Proxemic Preferences}} for a {{Domestic Service Robot}}},
  author = {Koay, Kheng Lee and Syrdal, Dag Sverre and Ashgari-Oskoei, Mohammadreza and Walters, Michael L. and Dautenhahn, Kerstin},
  date = {2014-11},
  journaltitle = {International Journal of Social Robotics},
  volume = {6},
  number = {4},
  pages = {469--488},
  publisher = {{Kluwer Academic Publishers}},
  issn = {18754805},
  doi = {10.1007/s12369-014-0232-4},
  url = {https://link.springer.com/article/10.1007/s12369-014-0232-4},
  abstract = {The goal of our research is to develop socially acceptable behavior for domestic robots in a setting where a user and the robot are sharing the same physical space and interact with each other in close proximity. Specifically, our research focuses on approach distances and directions in the context of a robot handing over an object to a user. Our present study consisted of two parts. Firstly, we carried out a large-scale survey trying to identify the internal structure between users' different social role expectations and the relationships between these and users' technology usage. Results from this study led to the development of a measure for preferred robot social roles. In the second part, this measure was used in a live human–robot interaction (HRI) study in a home setting, designed to create a baseline understanding of human–robot Proxemics approach directions and distances for a Care-O-bot(Formula Presented.)3 based on these roles. In order to support users interpretation of the robots intentions in those tasks, the HRI studies used a simple LED light display panel. Findings indicate that, participants were comfortable with the robot approaching to the closest implemented distance (0.5 m). For the task requiring relatively more coordination, participants preferred the robot to approach from the front to a larger extent than for tasks requiring less coordination. The ability to identify the signals from the LED display also impacted how participants evaluated the robots behaviour. Users who had previous experience of interacting with robots differentiated less between approaches, and also evaluated tasks requiring more coordination with the robot more favourably. The findings in the short-term sample were strongly influenced by expectations as to the social role expectation they had of the robot, suggesting that social expectations impact proxemic interactions even if the robot platform is clearly not humanoid.},
  keywords = {Experimental study,Fetch and carry,Human–robot interaction,Proxemics,Robot home companion,Social roles,Survey},
  file = {/home/fbence/Zotero/storage/YTI7ICP7/Koay et al. - 2014 - Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot.pdf}
}

@article{kohaviStudyCrossvalidationBootstrap1995,
  title = {A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection},
  author = {{Kohavi} and {Ron}},
  date = {1995},
  journaltitle = {Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2},
  pages = {1137--1143},
  publisher = {{Morgan Kaufmann Publishers Inc.}},
  url = {https://dl.acm.org/citation.cfm?id=1643047},
  isbn = {1-55860-363-8}
}

@article{kohaviStudyCrossValidationBootstrap2001,
  title = {A {{Study}} of {{Cross-Validation}} and {{Bootstrap}} for {{Accuracy Estimation}} and {{Model Selection}}},
  author = {Kohavi, Ron},
  date = {2001},
  volume = {14}
}

@article{konokHogyanHatMobileszkozhasznalat2020,
  title = {Hogyan Hat a Mobileszköz-Használat Az Óvodások Figyelmére És Társas-Kognitív Készségeire?},
  author = {Konok, Veronika and Peres, Krisztina and Ferdinandy, Bence and Jurányi, Zsolt and Bunford, Nóra and Ujfalussy, Dorottya Júlia and Réti, Zsófia and Kampis, György and Miklósi, Ádám},
  date = {2020-08},
  journaltitle = {Gyermeknevelés},
  volume = {8},
  number = {2},
  pages = {13--31},
  publisher = {{Eotvos Lorand University (ELTE)}},
  doi = {10.31074/gyntf.2020.2.13.31},
  url = {http://ojs.elte.hu/gyermekneveles/article/view/910},
  abstract = {Az érintőképernyős mobileszközöket (ÉKM: okostelefonok és tabletek) egyre többet és egyre fiatalabb korban használják a gyerekek. Ekkor az agy még nagyon plasztikus, így az ÉKM-használat befolyásolhatja a kognitív fejlődést, ami új kihívásokat támaszt a szülőkkel és pedagógusokkal szemben. Egy keresztmetszeti vizsgálatban összehasonlítottuk az ÉKM-eszközöket gyakran használó és az ilyen eszközöket nem használó óvodás korú gyerekek (szelektív és megosztott) figyelmi és szociokognitív képességeit. Majd kísérletesen vizsgáltuk, hogy miképp befolyásolja a gyerekek figyelmi teljesítményét, ha előzőleg (előkezelés) egy gyors vagy lassú sebességű digitális játékkal vagy egy nem digitális játékkal játszanak. A szelektív figyelmi feladatban a gyerekek figyelmére (ÉKM-használattól függetlenül) a globális fókusz volt jellemző (jobban teljesítettek, ha az egészre kellett figyelni, mint ha a részletre), a megosztott figyelmi feladatban azonban az ÉKM-használók atipikus, lokális fókuszt mutattak (jobban teljesítettek, amikor a kis ábra volt a célinger, mint amikor a nagy), és teljesítményük a globális próbákban elmaradt az ÉKM-eket nem használó gyerekekétől. Az ÉKM-használók gyengébb tudatelméleti teljesítményt mutattak, viszont az érzelmek felismerésében nem különböztek az ÉKM-et nem használóktól. Az előkezelésen alapuló vizsgálatunk a figyelmi működéssel kapcsolatos eredményeket kísérletesen is megerősítette: a tesztet megelőzően digitális játékkal játszó gyerekek globális fókuszt mutattak a szelektív feladatban és lokális fókuszt a megosztott figyelmi feladatban, a nem-digitális játék után viszont mindkét feladatban globális fókusz volt jellemző. Míg a nem-digitális és a lassú digitális játékkal játszó gyerekek a szelektív figyelmi feladatban jobban teljesítettek, mint a megosztottban, addig a gyors digitális játékkal játszók nem mutattak ilyen előnyt a szelektív figyelmi feladatban. Eredményeink azt mutatják, hogy az ÉKM-eszközök rövid- és hosszútávú használata és azon belül a digitális játékokkal való játék lokális figyelmi fókuszhoz vezet, talán azért, mert a digitális képernyők lokális információkban gazdagok, és ritkán látszódik egyben az egész kép. A gyors digitális játék, azáltal, hogy párhuzamosan több ingerre kell figyelni, a megosztott figyelmet fejleszti, de a szelektív figyelmet nem. Az ÉKM-használat elveszi az időt a társas tevékenységektől, ami magyarázhatja, hogy az ÉKM-használóknak nehézségeik vannak a komplexebb szociokognitív képességek terén (tudatelmélet). Eredményeink fontos ismereteket nyújtanak és irányt mutatnak a pedagógia és a pszichológia számára.},
  keywords = {digitális játék,érintőképernyős mobileszközök,figyelem,szociokognitív képességek}
}

@article{konokMobileUseInduces2021,
  title = {Mobile Use Induces Local Attentional Precedence and Is Associated with Limited Socio-Cognitive Skills in Preschoolers},
  author = {Konok, Veronika and Liszkai-Peres, Krisztina and Bunford, Nóra and Ferdinandy, Bence and Jurányi, Zsolt and Ujfalussy, Dorottya Júlia and Réti, Zsófia and Pogány, Ákos and Kampis, George and Miklósi, Ádám},
  date = {2021-07},
  journaltitle = {Computers in Human Behavior},
  volume = {120},
  pages = {106758},
  publisher = {{Pergamon}},
  issn = {0747-5632},
  doi = {10.1016/J.CHB.2021.106758},
  abstract = {Mobile touch screen devices (MTSDs; i.e., smartphones and tablets) are now being used at an early and neuroplastic age by an ever-growing number of children, with this use likely affecting cognitive development. In a cross-sectional study, we investigated whether frequent MTSD user preschoolers exhibit different attentional and socio-cognitive skills compared to non-users. In a second, experimental study, we tested whether exposure to digital and non-digital games is associated with differences in attentional performance, and whether game pace moderates observed effects. Findings of both studies indicate pre-existing and experimentally-induced MTSD use was associated with global precedence in selective attention tasks, but an atypical, local precedence in a divided attention task. Further, playing with a fast digital game eliminated the advantage of selective attention over divided attention observed in the non-digital and slow digital game conditions. MTSD use was not associated with emotion recognition but was associated with worse theory of mind. We argue that the observed correlates and effects of MTSD use, and specifically of games, can be explained by a combination of MTSD characteristics (e.g., screens are rich in local and multiple modes of information, relatively limited social experience) and game characteristics (e.g., fast speed). Our results may be informative for the design and optimization of game structure and function, and may even call for influencing parameters of MTSD use that could affect mental functioning in this sensitive age.},
  keywords = {Attention,Children,Digital,Executive function,Mobile device,Socio-cognitive},
  file = {/home/fbence/Zotero/storage/UQEFLZJN/Konok et al. - 2021 - Mobile use induces local attentional precedence and is associated with limited socio-cognitive skills in preschool.pdf}
}

@article{korberTimingAncestorHIV12000,
  title = {Timing the {{Ancestor}} of the {{HIV-1 Pandemic Strains}}},
  author = {Korber, B and Muldoon, M and Theiler, J and Gao, F and Gupta, R and Lapedes, A and Hahn, B H and Wolinsky, S and Bhattacharya, T},
  date = {2000},
  journaltitle = {Science},
  volume = {288},
  number = {5472},
  pages = {1789--1796},
  publisher = {{American Association for the Advancement of Science}},
  issn = {0036-8075},
  doi = {10.1126/science.288.5472.1789},
  url = {http://science.sciencemag.org/content/288/5472/1789},
  abstract = {HIV-1 sequences were analyzed to estimate the timing of the ancestral sequence of the main group of HIV-1, the strains responsible for the AIDS pandemic. Using parallel supercomputers and assuming a constant rate of evolution, we applied maximum-likelihood phylogenetic methods to unprecedented amounts of data for this calculation. We validated our approach by correctly estimating the timing of two historically documented points. Using a comprehensive full-length envelope sequence alignment, we estimated the date of the last common ancestor of the main group of HIV-1 to be 1931 (1915\{\$\textbackslash backslash\$textendash\}41). Analysis of a gag gene alignment, subregions of envelope including additional sequences, and a method that relaxed the assumption of a strict molecular clock also supported these results.}
}

@article{korcsokArtificialSoundsFollowing2020,
  title = {Artificial Sounds Following Biological Rules: {{A}} Novel Approach for Non-Verbal Communication in {{HRI}}},
  author = {Korcsok, Beáta and Faragó, Tamás and Ferdinandy, Bence and Miklósi, Ádám and Korondi, Péter and Gácsi, Márta},
  date = {2020-04},
  journaltitle = {Scientific Reports 2020 10:1},
  volume = {10},
  number = {1},
  pages = {1--13},
  publisher = {{Nature Publishing Group}},
  issn = {2045-2322},
  doi = {10.1038/s41598-020-63504-8},
  url = {https://www.nature.com/articles/s41598-020-63504-8},
  abstract = {Emotionally expressive non-verbal vocalizations can play a major role in human-robot interactions. Humans can assess the intensity and emotional valence of animal vocalizations based on simple acoustic features such as call length and fundamental frequency. These simple encoding rules are suggested to be general across terrestrial vertebrates. To test the degree of this generalizability, our aim was to synthesize a set of artificial sounds by systematically changing the call length and fundamental frequency, and examine how emotional valence and intensity is attributed to them by humans. Based on sine wave sounds, we generated sound samples in seven categories by increasing complexity via incorporating different characteristics of animal vocalizations. We used an online questionnaire to measure the perceived emotional valence and intensity of the sounds in a two-dimensional model of emotions. The results show that sounds with low fundamental frequency and shorter call lengths were considered to have a more positive valence, and samples with high fundamental frequency were rated as more intense across all categories, regardless of the sound complexity. We conclude that applying the basic rules of vocal emotion encoding can be a good starting point for the development of novel non-verbal vocalizations for artificial agents.},
  keywords = {Animal behaviour,Biological models,Biotechnology},
  file = {/home/fbence/Zotero/storage/77HPHICU/Korcsok et al. - 2020 - Artificial sounds following biological rules A novel approach for non-verbal communication in HRI(2).pdf}
}

@article{korcsokArtificialSoundsFollowing2020a,
  title = {Artificial Sounds Following Biological Rules: {{A}} Novel Approach for Non-Verbal Communication in {{HRI}}},
  author = {Korcsok, Beáta and Faragó, Tamás and Ferdinandy, Bence and Miklósi, Ádám and Korondi, Péter and Gácsi, Márta},
  date = {2020-12},
  journaltitle = {Scientific Reports},
  volume = {10},
  number = {1},
  eprint = {32341387},
  eprinttype = {pmid},
  pages = {1--13},
  publisher = {{Nature Research}},
  issn = {20452322},
  doi = {10.1038/s41598-020-63504-8},
  url = {https://doi.org/10.1038/s41598-020-63504-8},
  abstract = {Emotionally expressive non-verbal vocalizations can play a major role in human-robot interactions. Humans can assess the intensity and emotional valence of animal vocalizations based on simple acoustic features such as call length and fundamental frequency. These simple encoding rules are suggested to be general across terrestrial vertebrates. To test the degree of this generalizability, our aim was to synthesize a set of artificial sounds by systematically changing the call length and fundamental frequency, and examine how emotional valence and intensity is attributed to them by humans. Based on sine wave sounds, we generated sound samples in seven categories by increasing complexity via incorporating different characteristics of animal vocalizations. We used an online questionnaire to measure the perceived emotional valence and intensity of the sounds in a two-dimensional model of emotions. The results show that sounds with low fundamental frequency and shorter call lengths were considered to have a more positive valence, and samples with high fundamental frequency were rated as more intense across all categories, regardless of the sound complexity. We conclude that applying the basic rules of vocal emotion encoding can be a good starting point for the development of novel non-verbal vocalizations for artificial agents.},
  keywords = {Animal behaviour,Biological models,Biotechnology},
  file = {/home/fbence/Zotero/storage/6QGQC7YN/Korcsok et al. - 2020 - Artificial sounds following biological rules A novel approach for non-verbal communication in HRI.pdf}
}

@article{korcsokBiologicallyInspiredEmotional2018,
  title = {Biologically Inspired Emotional Expressions for Artificial Agents},
  author = {Korcsok, Beáta and Konok, Veronika and Persa, György and Faragó, Tamás and Niitsuma, Mihoko and Miklósi, Ádám and Korondi, Péter and Baranyi, Péter and Gácsi, Márta},
  date = {2018},
  journaltitle = {Frontiers in Psychology},
  volume = {9},
  pages = {1--17},
  issn = {16641078},
  doi = {10.3389/fpsyg.2018.01191},
  abstract = {A special area of human-machine interaction, the expression of emotions gains importance with the continuous development of artificial agents such as social robots or interactive mobile applications. We developed a prototype version of an abstract emotion visualization agent to express five basic emotions and a neutral state. In contrast to well-known symbolic characters (e.g., smileys) these displays follow general biological and ethological rules. We conducted a multiple questionnaire study on the assessment of the displays with Hungarian and Japanese subjects. In most cases participants were successful in recognizing the displayed emotions. Fear and sadness were most easily confused with each other while both the Hungarian and Japanese participants recognized the anger display most correctly. We suggest that the implemented biological approach can be a viable complement to the emotion expressions of some artificial agents, for example mobile devices.},
  issue = {JUL},
  keywords = {Artificial agent,Artificial emotion expression,Emotion recognition,Ethological approach,Ethorobotics,Human-computer interaction,Human-robot interaction},
  file = {/home/fbence/Zotero/storage/NIRWV8AC/Korcsok et al. - 2018 - Biologically inspired emotional expressions for artificial agents.pdf}
}

@article{kosterMultinomialAnalysisBehavior2017,
  title = {Multinomial Analysis of Behavior: Statistical Methods},
  author = {Koster, Jeremy and McElreath, Richard},
  date = {2017-09},
  journaltitle = {Behavioral Ecology and Sociobiology},
  volume = {71},
  number = {9},
  pages = {1--14},
  publisher = {{Springer Verlag}},
  issn = {03405443},
  doi = {10.1007/s00265-017-2363-8},
  abstract = {Behavioral ecologists frequently use observational methods, such as instantaneous scan sampling, to record the behavior of animals at discrete moments in time. We develop and apply multilevel, multinomial logistic regression models for analyzing such data. These statistical methods correspond to the multinomial character of the response variable while also accounting for the repeated observations of individuals that characterize behavioral datasets. Correlated random effects potentially reveal individual-level trade-offs across behaviors, allowing for models that reveal the extent to which individuals who regularly engage in one behavior also exhibit relatively more or less of another behavior. Using an example dataset, we demonstrate the estimation of these models using Hamiltonian Monte Carlo algorithms, as implemented in the RStan package in the R statistical environment. The supplemental files include a coding script and data that demonstrate auxiliary functions to prepare the data, estimate the models, summarize the posterior samples, and generate figures that display model predictions. We discuss possible extensions to our approach, including models with random slopes to allow individual-level behavioral strategies to vary over time and the need for models that account for temporal autocorrelation. These models can potentially be applied to a broad class of statistical analyses by behavioral ecologists, focusing on other polytomous response variables, such as behavior, habitat choice, or emotional states.},
  keywords = {Focal observations,Generalized linear mixed models,Multinomial logistic regression,RStan,Scan sampling},
  file = {/home/fbence/Zotero/storage/LTPXX33V/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{kosterMultinomialAnalysisBehavior2017a,
  title = {Multinomial Analysis of Behavior: Statistical Methods},
  author = {Koster, Jeremy and McElreath, Richard},
  date = {2017},
  journaltitle = {Behavioral Ecology and Sociobiology},
  volume = {71},
  number = {9},
  issn = {03405443},
  doi = {10.1007/s00265-017-2363-8},
  abstract = {Behavioral ecologists frequently use observational methods, such as instantaneous scan sampling, to record the behavior of animals at discrete moments in time. We develop and apply multilevel, multinomial logistic regression models for analyzing such data. These statistical methods correspond to the multinomial character of the response variable while also accounting for the repeated observations of individuals that characterize behavioral datasets. Correlated random effects potentially reveal individual-level trade-offs across behaviors, allowing for models that reveal the extent to which individuals who regularly engage in one behavior also exhibit relatively more or less of another behavior. Using an example dataset, we demonstrate the estimation of these models using Hamiltonian Monte Carlo algorithms, as implemented in the RStan package in the R statistical environment. The supplemental files include a coding script and data that demonstrate auxiliary functions to prepare the data, estimate the models, summarize the posterior samples, and generate figures that display model predictions. We discuss possible extensions to our approach, including models with random slopes to allow individual-level behavioral strategies to vary over time and the need for models that account for temporal autocorrelation. These models can potentially be applied to a broad class of statistical analyses by behavioral ecologists, focusing on other polytomous response variables, such as behavior, habitat choice, or emotional states.},
  keywords = {Focal observations,Generalized linear mixed models,Multinomial logistic regression,RStan,Scan sampling},
  file = {/home/fbence/Zotero/storage/Y6ND2NDX/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf}
}

@article{kovacsApproximateFuzzyReasoning1997,
  title = {Approximate Fuzzy Reasoning Based on Interpolation in the Vague Environment of the Fuzzy Rulebase},
  author = {Kovacs, Szilveszter and Koczy, Laszlo T.},
  date = {1997},
  journaltitle = {IEEE International Conference on Intelligent Engineering Systems, Proceedings, INES},
  number = {77811996},
  pages = {63--68},
  doi = {10.1109/ines.1997.632394},
  abstract = {In many practical applications of the fuzzy logic controllers, the linguistic term fuzzy sets are used to describe a vague value, a value and a kind of `density information' on the antecedent and consequent universes of the fuzzy rulebase. This case the antecedent and consequent fuzzy partitions (formed by these primary fuzzy sets) can be described by vague environments (based on the similarity or indistinguishability of the elements). Using the concept of vague environment characterized by scaling functions instead of the linguistic term fuzzy sets gives a simple way for fuzzy approximate reasoning. Comparing the description of a universe given by a fuzzy partition to the way of using the concept of vague environment we can say, that the linguistic terms of the fuzzy partition are crisp points in the vague environment, while the shapes of the fuzzy sets (the `density information') are described by the scaling function. This case the primary fuzzy sets of the antecedent and the consequent parts of the fuzzy rules can be characterized by crisp points in their vague environments, so the fuzzy rules themselves are points in their vague environment too (in the vague environment of the fuzzy rulebase). It means, that the question of approximate fuzzy reasoning can be reduced to the problem of interpolation of the rule points in the vague environment of the fuzzy rulebase relation. In other words, using the concept of vague environment, in most cases we can build approximate fuzzy reasoning methods simple enough to be a good alternative of the classical Compositional Rule of Inference (CRI) methods in practical applications. In this paper two methods of approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase, and a comparison of these methods to the classical CRI will be introduced.},
  isbn = {0780336275},
  file = {/home/fbence/Zotero/storage/UQB6CEA6/Kovacs, Koczy - 1997 - Approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase.pdf}
}

@article{kovacsEthologicallyInspiredRobot2011,
  title = {Ethologically {{Inspired Robot Design}}},
  author = {Kovács, B and Szayer, G and Korondi, P.},
  date = {2011},
  journaltitle = {The 2nd International Conference on Cognitive Infocommunications (CogInfoCom2011)},
  url = {https://pdfs.semanticscholar.org/1348/638a80f147ac2722471f76786872ff5f6631.pdf\{\\%\}0Apapers3://publication/uuid/E97BDDC8-DF4A-456D-8A94-81A7C7F3B74E},
  abstract = {Abstract—The aim of this paper is to place the relation of human and robots on a new, ethologically inspired base. So far, when designing robot interaction mainly ergonomic and psychological aspects were taken into consideration to form the human-system relationship.}
}

@article{kovacsEthologicallyInspiredRobot2011a,
  title = {Ethologically Inspired Robot Behavior Implementation},
  author = {Kovács, Szilveszter and Vincze, Dávid and Gácsi, Márta and Miklósi, Ádám and Korondi, Péter},
  date = {2011},
  journaltitle = {4th International Conference on Human System Interaction, HSI 2011},
  pages = {64--69},
  doi = {10.1109/HSI.2011.5937344},
  abstract = {For implementing ethologically inspired robot behavior in this paper a platform based on fuzzy automaton (fuzzy state-machine) is suggested. It can react the human intervention as a function of the robot state and the human action. This platform is suitable for implementing quite complicated action-reaction sequences, like the interaction of human and an animal, e.g. a behavior of an animal companion to the human. The suggested fuzzy model structure built upon the framework of low computational demand Fuzzy Rule Interpolation (FRI) methods and fuzzy automaton. For demonstrating the applicability of the proposed structure, some components of an action-reaction FRI model, will be briefly introduced in this paper. © 2011 IEEE.},
  isbn = {9781424496402}
}

@inproceedings{kovacsInterpolationBasedFuzzy2009,
  title = {Interpolation Based {{Fuzzy Automaton}} for {{Human-Robot Interaction}}},
  booktitle = {{{IFAC Proceedings Volumes}}},
  author = {Kovács, Szilveszter and Vincze, Dávid and Gácsi, Márta and Miklósi, ádám and Korondi, Péter},
  date = {2009-01},
  volume = {42},
  number = {16},
  pages = {317--322},
  publisher = {{Elsevier}},
  issn = {1474-6670},
  doi = {10.3182/20090909-4-JP-2010.00055},
  url = {https://www.sciencedirect.com/science/article/pii/S1474667015306558},
  abstract = {One way of handling Human-Robot Interaction (HRI) is based on the concept, that the robot acts like an animal companion to human. According to this paradigm the Robot should not be molded to mimic the human being, and form human-to-human like communication, but to follow the existing biological examples and form inter-species interaction. The 20.000 year old human-dog relationship is a good example for this paradigm of the HRI, as interaction of different species. One good reason of this approach in HRI is the lack of the "uncanny valley" effect i.e. increasing similarity of robots to humans will actually increase the chances that humans refuse interaction (will be frightened). In this paper, for ethologically inspired HRI model implementation, a fuzzy model structure built upon the framework of low computational demand Fuzzy Rule Interpolation (FRI) methods and fuzzy automaton is suggested. The application of FRI methods fits well the conceptually "spare rule-based" structure of the existing descriptive verbal ethological models. (In case of the descriptive verbal ethological models, the "completeness" of the rule-base is not required). The main benefit of the FRI method adaptation in ethological model implementation is the fact, that it has a simple rule-based knowledge representation format. Because of this, even after numerical optimization of the model, the rules are still "human readable", and helps the formal validation of the model by the ethological experts. On the other side due to the FRI base, the model has still low computational demand and fits directly the requirements of the embedded implementations. For demonstrating the applicability of the proposed structure, some components of a human-dog interaction FRI model, which also suitable for HRI, will be briefly introduced in this paper.},
  isbn = {978-3-902661-60-9},
  keywords = {Behaviour-based Control,Fuzzy Automaton,Fuzzy Rule Interpolation,Human-Robot Interaction}
}

@article{kraftTimingSourceSubtypeC2012,
  title = {Timing and Source of Subtype-{{C HIV-1}} Superinfection in the Newly Infected Partner of {{Zambian}} Couples with Disparate Viruses},
  author = {Kraft, Colleen S and Basu, Debby and Hawkins, Paulina A and Hraber, Peter T and Chomba, Elwyn and Mulenga, Joseph and Kilembe, William and Khu, Naw H and Derdeyn, Cynthia A and Allen, Susan A and {Others}},
  date = {2012},
  journaltitle = {Retrovirology},
  volume = {9},
  number = {1},
  pages = {1},
  publisher = {{BioMed Central}}
}

@article{kruegerHumanDogRelationships2021,
  title = {Human–Dog Relationships as a Working Framework for Exploring Human–Robot Attachment: A Multidisciplinary Review},
  author = {Krueger, Frank and Mitchell, Kelsey C. and Deshpande, Gopikrishna and Katz, Jeffrey S.},
  date = {2021-01},
  journaltitle = {Animal Cognition},
  volume = {5},
  number = {10},
  pages = {1--15},
  publisher = {{Springer Science and Business Media Deutschland GmbH}},
  issn = {14359456},
  doi = {10.1007/s10071-021-01472-w},
  url = {https://doi.org/10.1007/s10071-021-01472-w},
  abstract = {Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such successful relationships, people will likely attribute emotions and personality, assign social competencies, and develop a long-lasting attachment to robots. However, without a clear theoretical framework—building on biological, psychological, and technological knowledge—current societal demands for establishing successful human–robot attachment (HRA) as a new form of inter-species interactions might fail. The study of evolutionarily adaptive animal behavior (i.e., ethology) suggests that human–animal behaviors can be considered as a plausible solution in designing and building models of ethorobots—including modeling the inter-species bond between domesticated animals and humans. Evidence shows that people assign emotional feelings and personality characteristics to animal species leading to cooperation and communication—crucial for designing social robots such as companion robots. Because dogs have excellent social skills with humans, current research applies human–dog relationships as a template to understand HRA. Our goal of this article is twofold. First, we overview the research on how human–dog interactions are implemented as prototypes of non-human social companions in HRA. Second, we review research about attitudes that humans have for interacting with robotic dogs based on their appearance and behavior, the implications for forming attachments, and human–animal interactions in the rising sphere of robot-assisted therapy. The rationale for this review is to provide a new perspective to facilitate future research among biologists, psychologists, and engineers—contributing to the creation of innovative research practices for studying social behaviors and its implications for society addressing HRA.},
  keywords = {AIBO,Attachment,Dog,Ethorobotics,Social robotics,Uncanny valley},
  file = {/home/fbence/Zotero/storage/Z684BWJM/Krueger et al. - 2021 - Human–dog relationships as a working framework for exploring human–robot attachment a multidisciplinary revi.pdf}
}

@article{laddsSuperMachineLearning2017,
  title = {Super Machine Learning : Improving Accuracy and Reducing Variance of Behaviour Classification from Accelerometry},
  author = {Ladds, Monique A and Thompson, Adam P and Kadar, Julianna Piroska and Slip, David J and Hocking, David P and Harcourt, Robert G},
  date = {2017},
  journaltitle = {Animal Biotelemetry},
  pages = {1--9},
  publisher = {{BioMed Central}},
  issn = {2050-3385},
  doi = {10.1186/s40317-017-0123-1},
  keywords = {accelerometer,behavioural classification,Behavioural classification,ethogram,Ethogram,machine learning,marine mammal,Marine mammal,super learner},
  file = {/home/fbence/Zotero/storage/E7EBGZQN/Ladds et al. - 2017 - Super machine learning improving accuracy and reducing variance of behaviour classification from accelerometry.pdf}
}

@inproceedings{ladhaDogLife2013,
  title = {Dog's Life},
  booktitle = {Proceedings of the 2013 {{ACM}} International Joint Conference on {{Pervasive}} and Ubiquitous Computing - {{UbiComp}} '13},
  author = {Ladha, Cassim and Hammerla, Nils and Hughes, Emma and Olivier, Patrick and Ploetz, Thomas},
  date = {2013},
  pages = {415},
  publisher = {{ACM Press}},
  location = {{New York, New York, USA}},
  doi = {10.1145/2493432.2493519},
  url = {http://dl.acm.org/citation.cfm?doid=2493432.2493519},
  isbn = {978-1-4503-1770-2},
  keywords = {activity recognition,animal wellbeing,dog,wearable computing}
}

@inproceedings{ladhaDogLifeWearable2013,
  title = {Dog's Life: Wearable Activity Recognition for Dogs},
  booktitle = {Proceedings of the 2013 {{ACM}} International Joint Conference on {{Pervasive}} and Ubiquitous Computing - {{UbiComp}} '13},
  author = {Ladha, Cassim and Hammerla, Nils and Hughes, Emma and Olivier, Patrick and Ploetz, Thomas},
  date = {2013},
  pages = {415},
  publisher = {{ACM Press}},
  location = {{New York, New York, USA}},
  doi = {10.1145/2493432.2493519},
  url = {http://dl.acm.org/citation.cfm?doid=2493432.2493519},
  isbn = {978-1-4503-1770-2}
}

@article{lakensPerformingHighpoweredStudies2014,
  title = {Performing High-Powered Studies Efficiently with Sequential Analyses},
  author = {Lakens, Daniël},
  date = {2014-12},
  journaltitle = {European Journal of Social Psychology},
  volume = {44},
  number = {7},
  pages = {701--710},
  publisher = {{John Wiley and Sons Ltd}},
  issn = {00462772},
  doi = {10.1002/ejsp.2023},
  url = {http://doi.wiley.com/10.1002/ejsp.2023},
  abstract = {Running studies with high statistical power, while effect size estimates in psychology are often inaccurate, leads to a practical challenge when designing an experiment. This challenge can be addressed by performing sequential analyses while the data collection is still in progress. At an interim analysis, data collection can be stopped whenever the results are convincing enough to conclude that an effect is present, more data can be collected, or the study can be terminated whenever it is extremely unlikely that the predicted effect will be observed if data collection would be continued. Such interim analyses can be performed while controlling the Type 1 error rate. Sequential analyses can greatly improve the efficiency with which data are collected. Additional flexibility is provided by adaptive designs where sample sizes are increased on the basis of the observed effect size. The need for pre-registration, ways to prevent experimenter bias, and a comparison between Bayesian approaches and null-hypothesis significance testing (NHST) are discussed. Sequential analyses, which are widely used in large-scale medical trials, provide an efficient way to perform high-powered informative experiments. I hope this introduction will provide a practical primer that allows researchers to incorporate sequential analyses in their research.}
}

@article{langrockFlexiblePracticalModeling2012,
  title = {Flexible and Practical Modeling of Animal Telemetry Data: Hidden {{Markov}} Models and Extensions},
  author = {Langrock, Roland and King, Ruth and Matthiopoulos, Jason and Thomas, Len and Fortin, Daniel and Morales, Juan M.},
  date = {2012-11},
  journaltitle = {Ecology},
  volume = {93},
  number = {11},
  pages = {2336--2342},
  publisher = {{Wiley-Blackwell}},
  issn = {0012-9658},
  doi = {10.1890/11-2241.1},
  url = {http://doi.wiley.com/10.1890/11-2241.1},
  keywords = {behavioral state,Bison bison,Markov model,maximum likelihood,random effects,random walk,semi,space model,state,telemetry data},
  file = {/home/fbence/Zotero/storage/JE4L2WYP/Langrock et al. - 2012 - Flexible and practical modeling of animal telemetry data hidden Markov models and extensions.pdf}
}

@article{leos-barajasAnalysisAnimalAccelerometer2017,
  title = {Analysis of Animal Accelerometer Data Using Hidden {{Markov}} Models},
  author = {Leos‐Barajas, Vianey and Photopoulou, Theoni and Langrock, Roland and Patterson, Toby A. and Watanabe, Yuuki Y. and Murgatroyd, Megan and Papastamatiou, Yannis P.},
  editor = {O'Hara, Robert B.},
  date = {2017-02},
  journaltitle = {Methods in Ecology and Evolution},
  volume = {8},
  number = {2},
  pages = {161--173},
  publisher = {{British Ecological Society}},
  issn = {2041-210X},
  doi = {10.1111/2041-210X.12657},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.12657},
  abstract = {Use of accelerometers is now widespread within animal biologging as they provide a means of measuring an animal's activity in a meaningful and quantitative way where direct observation is not possible. In sequential acceleration data, there is a natural dependence between observations of behaviour, a fact that has been largely ignored in most analyses. Analyses of acceleration data where serial dependence has been explicitly modelled have largely relied on hidden Markov models (HMMs). Depending on the aim of an analysis, an HMM can be used for state prediction or to make inferences about drivers of behaviour. For state prediction, a supervised learning approach can be applied. That is, an HMM is trained to classify unlabelled acceleration data into a finite set of pre-specified categories. An unsupervised learning approach can be used to infer new aspects of animal behaviour when biologically meaningful response variables are used, with the caveat that the states may not map to specific behaviours. We provide the details necessary to implement and assess an HMM in both the supervised and unsupervised learning context and discuss the data requirements of each case. We outline two applications to marine and aerial systems (shark and eagle) taking the unsupervised learning approach, which is more readily applicable to animal activity measured in the field. HMMs were used to infer the effects of temporal, atmospheric and tidal inputs on animal behaviour. Animal accelerometer data allow ecologists to identify important correlates and drivers of animal activity (and hence behaviour). The HMM framework is well suited to deal with the main features commonly observed in accelerometer data and can easily be extended to suit a wide range of types of animal activity data. The ability to combine direct observations of animal activity with statistical models, which account for the features of accelerometer data, offers a new way to quantify animal behaviour and energetic expenditure and to deepen our insights into individual behaviour as a constituent of populations and ecosystems.},
  keywords = {activity recognition,animal behaviour,latent states,serial correlation,time series}
}

@article{lesmerisesMajorRoadworkImpacts2013,
  title = {Major Roadwork Impacts the Space Use Behaviour of Gray Wolf},
  author = {Lesmerises, Frédéric and Dussault, Christian and St-Laurent, Martin-Hugues},
  date = {2013-04},
  journaltitle = {Landscape and Urban Planning},
  volume = {112},
  pages = {18--25},
  issn = {01692046},
  doi = {10.1016/j.landurbplan.2012.12.011},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0169204612003350}
}

@article{lesmerisesMajorRoadworkImpacts2013a,
  title = {Major Roadwork Impacts the Space Use Behaviour of Gray Wolf},
  author = {Lesmerises, Frédéric and Dussault, Christian and St-Laurent, Martin-Hugues},
  date = {2013},
  journaltitle = {Landscape and Urban Planning},
  volume = {112},
  pages = {18--25},
  issn = {01692046},
  doi = {10.1016/j.landurbplan.2012.12.011},
  url = {https://www.sciencedirect.com/science/article/pii/S0169204612003350},
  abstract = {Roads are known to impact wildlife in numerous ways and wolf response to roads was shown to vary with human activity level and road type. We assessed the impacts of increased road-disturbance intensity associated to a major roadwork on wolf movements and space use in eastern Canada: from 2006 to 2010, the provincial two-lane Highway 175 has been enlarged to a four-lane divided highway. We hypothesized that the level of human activity relative to the construction was the most important factor driving wolf response to road enlargement because of the risk of human encounter. We tracked 22 wolves belonging to nine packs using GPS telemetry, focusing our efforts on individuals with territories encompassing a part of the highway being modified or a similar but unmodified highway (control). Impacts of the road enlargement were assessed using resource selection functions and highway crossing events by wolves as roadworks progressed. During the denning period, crossing rate decreased from the beginning to the completion of the road enlargement (0.66±0.16 (SE) to 0.15±0.11crossing/km/100-days). Wolves stayed ca. 300m farther away from active road construction sites than from segments without roadwork or where roadwork activity had temporarily stopped, except during nomadic period. Negative impacts of road modification on crossing rate and space use were more noticeable during the denning period and faded as pups aged. We then demonstrated the wolf capacity to adjust its behaviour to local disturbances and the importance of human activity level in explaining response to anthropogenic disturbances.}
}

@book{levineOneCultureEssays1987,
  title = {One Culture: {{Essays}} in Science and Literature},
  author = {Levine, George Lewis and Rauch, Alan},
  date = {1987},
  publisher = {{Univ of Wisconsin Press}}
}

@article{levyFallingLoveCompanion2010,
  title = {Falling in {{Love}} with a {{Companion}}},
  author = {Levy, David},
  date = {2010},
  journaltitle = {Artificial Companions in Society: Perspectives on the Present and Future},
  pages = {20}
}

@article{leynaertHeterosexualTransmissionHuman1998,
  title = {Heterosexual Transmission of Human Immunodeficiency Virus: Variability of Infectivity throughout the Course of Infection. {{European Study Group}} on {{Heterosexual Transmission}} of {{HIV}}.},
  author = {Leynaert, B and {Downs AM} and De Vincenzi, I},
  date = {1998},
  journaltitle = {Am J Epidemiol},
  volume = {148},
  pages = {88--96}
}

@article{linklaterAdaptiveExplanationSocioecology2000,
  title = {Adaptive Explanation in Socio-Ecology: Lessons from the {{Equidae}}},
  author = {Linklater, Wayne L},
  date = {2000},
  journaltitle = {Biological reviews},
  volume = {75},
  number = {1},
  pages = {1--20},
  publisher = {{Cambridge University Press}}
}

@article{lischetzkeTopographyUncannyValley2017,
  title = {The Topography of the Uncanny Valley and Individuals' Need for Structure: {{A}} Nonlinear Mixed Effects Analysis},
  author = {Lischetzke, Tanja and Izydorczyk, David and Hüller, Christina and Appel, Markus},
  date = {2017-06},
  journaltitle = {Journal of Research in Personality},
  volume = {68},
  pages = {96--113},
  publisher = {{Academic Press Inc.}},
  issn = {10957251},
  doi = {10.1016/j.jrp.2017.02.001},
  abstract = {The uncanny valley hypothesis suggests that robots that closely resemble humans elicit feelings of eeriness. We focused on individual differences in the uncanny valley experience, which have been largely neglected to date. Using a mixed effects modelling approach, we tested whether individual differences in the need for structure predict uncanny valley sensitivity. Two experiments (Ns = 226 and 336) with morphed stimuli confirmed the uncanny valley effect. A moderator effect of need for structure was found in Experiment 2, which used a fine-grained manipulation of human likeness, but not in Experiment 1, which used a 3-step manipulation. The results provide tentative evidence that individuals who respond negatively to a lack of structure show a more pronounced (“deeper”) uncanny valley effect.},
  keywords = {Androids,Eeriness,Human-robot interaction,Need for structure,Uncanny valley}
}

@article{livelyParasiteAdaptationLocally2000,
  title = {Parasite Adaptation to Locally Common Host Genotypes},
  author = {Lively, Curtis M and Dybdahl, Mark F},
  date = {2000},
  journaltitle = {Nature},
  volume = {405},
  number = {6787},
  pages = {679--681},
  publisher = {{Nature Publishing Group}}
}

@report{lohRegularizedMestimatorsNonconvexity,
  title = {Regularized {{M-estimators}} with Nonconvexity: {{Statistical}} and Algorithmic Theory for Local Optima},
  author = {Loh, Po-Ling and Wainwright, Martin J},
  abstract = {We establish theoretical results concerning local optima of regularized M-estimators, where both loss and penalty functions are allowed to be nonconvex. Our results show that as long as the loss satisfies restricted strong convexity and the penalty satisfies suitable regularity conditions, any local optimum of the composite objective lies within statistical precision of the true parameter vector. Our theory covers a broad class of nonconvex objective functions, including corrected versions of the Lasso for errors-in-variables linear models and regression in generalized linear models using nonconvex regularizers such as SCAD and MCP. On the optimization side, we show that a simple adaptation of composite gradient descent may be used to compute a global optimum up to the statistical precision stat in log(1// stat) iterations, the fastest possible rate for any first-order method. We provide simulations to illustrate the sharpness of our theoretical predictions.},
  file = {/home/fbence/Zotero/storage/33LU8Q7H/Loh, Wainwright - Unknown - Regularized M-estimators with nonconvexity Statistical and algorithmic theory for local optima.pdf}
}

@article{lukashovSimultaneousIntroductionDistinct1995,
  title = {Simultaneous Introduction of Distinct {{HIV-1}} Subtypes into Different Risk Groups in {{Russia}}, {{Byelorussia}} and {{Lithuania}}.},
  author = {Lukashov, Vladimir V and Cornelissen, Marion T E and Goudsmit, Jaap and Papuashvilli, Marina N and Rytik, Pyotr G and Khaitov, Rakhim M and Karamov, Edward V and de Wolf, Frank},
  options = {useprefix=true},
  date = {1995},
  journaltitle = {Aids},
  volume = {9},
  number = {5},
  pages = {435----hyhen},
  publisher = {{LWW}}
}

@article{lushClassificationSheepUrination2018,
  title = {Classification of Sheep Urination Events Using Accelerometers to Aid Improved Measurements of Livestock Contributions to Nitrous Oxide Emissions},
  author = {Lush, Lucy and Wilson, Rory P. and Holton, Mark D. and Hopkins, Phil and Marsden, Karina A. and Chadwick, David R. and King, Andrew J.},
  date = {2018-07},
  journaltitle = {Computers and Electronics in Agriculture},
  volume = {150},
  pages = {170--177},
  publisher = {{Elsevier B.V.}},
  issn = {01681699},
  doi = {10.1016/j.compag.2018.04.018},
  abstract = {Livestock emissions account for 74\% of nitrous oxide contributions to greenhouse gases in the UK. However, it remains uncertain how much is directly attributable to localised sheep urination events, which could generate nitrous oxide emission ‘hot spots'. Currently, IPCC emission factors are mainly extrapolated from lowland grazing systems and do not incorporate temporal or spatial factors related to sheep behaviour and movement. Being able to gather data that reliably measures when, where, and how much sheep urinate is necessary for accurate calculations and, to inform best management practices for reducing greenhouse gas emissions and minimizing emission-based climate change. Animal-attached movement sensors have been shown to be effective in classifying different behaviours, albeit with varying classification accuracy depending on behaviour types. Previous studies have used accelerometers on cattle and sheep to assess active and non-active behaviours to help with grazing management, although no study has yet attempted to identify sheep urination events using this method. We attached tri-axial accelerometer sensor tags to thirty Welsh Mountain ewes for thirty days to assess if we could identify urination events. We used random forest models using different sliding mean windows to classify behaviours. Urination had a distinctive pattern and could be identified from accelerometer data, with a 5 s window providing the best recall and a 10 s window giving the best precision. 'state' behaviours considered (foraging, walking, running, standing and lying down) were also identified with high recall and precision. This demonstrates the extent to which the identification of discrete ‘event' behaviours may be sensitive to the window size used to calculate the summary statistics. The method shows promise for identifying urination in sheep and other livestock, being minimally invasive compared to other methods, and has clear potential to inform agricultural management practices and policies.},
  keywords = {Biologging,Climate change,Discrete behaviour,Greenhouse gas emissions,Sheep,Urination}
}

@article{luzardoDriftDiffusionModel2017,
  title = {A Drift–Diffusion Model of Interval Timing in the Peak Procedure},
  author = {Luzardo, André and Rivest, François and Alonso, Eduardo and Ludvig, Elliot A.},
  date = {2017-04},
  journaltitle = {Journal of Mathematical Psychology},
  volume = {77},
  pages = {111--123},
  publisher = {{Academic Press Inc.}},
  issn = {10960880},
  doi = {10.1016/j.jmp.2016.10.002},
  abstract = {Drift–diffusion models (DDMs) are a popular framework for explaining response times in decision-making tasks. Recently, the DDM architecture has been used to model interval timing. The Time-adaptive DDM (TDDM) is a physiologically plausible mechanism that adapts in real-time to different time intervals while preserving timescale invariance. One key open question is how the TDDM could deal with situations where reward is omitted, as in the peak procedure—a benchmark in the timing literature. When reward is omitted, there is a consistent pattern of correlations between the times at which animals start and stop responding. Here we develop a formulation of the TDDM's stationary properties that allows for the derivation of such correlations analytically. Using this simplified formulation we show that a TDDM with two thresholds–one to mark the start of responding and another the stop–can reproduce the same pattern of correlations observed in the data, as long as the start threshold is allowed to be noisy. We confirm this by running simulations with the standard TDDM formulation and show that the simplified formulation approximates well the full model under steady-state conditions. Moreover, we show that this simplified version of the TDDM is formally equivalent to Scalar Expectancy Theory (SET) under stationary behaviours, the most prominent theory of interval timing. This equivalence establishes the TDDM as a more complete drift–diffusion based theory with SET as a special case under steady-state conditions.},
  keywords = {Computational models,Drift–diffusion model,Interval timing,Peak procedure,Scalar expectancy theory}
}

@article{macdormanReducingConsistencyHuman2016,
  title = {Reducing Consistency in Human Realism Increases the Uncanny Valley Effect; Increasing Category Uncertainty Does Not},
  author = {MacDorman, Karl F. and Chattopadhyay, Debaleena},
  date = {2016-01},
  journaltitle = {Cognition},
  volume = {146},
  eprint = {26435049},
  eprinttype = {pmid},
  pages = {190--205},
  publisher = {{Elsevier B.V.}},
  issn = {18737838},
  doi = {10.1016/j.cognition.2015.09.019},
  abstract = {Human replicas may elicit unintended cold, eerie feelings in viewers, an effect known as the uncanny valley. Masahiro Mori, who proposed the effect in 1970, attributed it to inconsistencies in the replica's realism with some of its features perceived as human and others as nonhuman. This study aims to determine whether reducing realism consistency in visual features increases the uncanny valley effect. In three rounds of experiments, 548 participants categorized and rated humans, animals, and objects that varied from computer animated to real. Two sets of features were manipulated to reduce realism consistency. (For humans, the sets were eyes-eyelashes-mouth and skin-nose-eyebrows.) Reducing realism consistency caused humans and animals, but not objects, to appear eerier and colder. However, the predictions of a competing theory, proposed by Ernst Jentsch in 1906, were not supported: The most ambiguous representations-those eliciting the greatest category uncertainty-were neither the eeriest nor the coldest.},
  keywords = {Anthropomorphism,Computer animation,Face perception,Photorealism},
  file = {/home/fbence/Zotero/storage/RSL3R36Z/MacDorman, Chattopadhyay - 2016 - Reducing consistency in human realism increases the uncanny valley effect increasing category uncertai.pdf}
}

@article{macdormanUncannyAdvantageUsing2006,
  title = {The Uncanny Advantage of Using Androids in Cognitive and Social Science Research},
  author = {MacDorman, Karl F. and Ishiguro, Hiroshi},
  date = {2006-11},
  journaltitle = {Interaction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies},
  volume = {7},
  number = {3},
  pages = {297--337},
  publisher = {{John Benjamins Publishing Company}},
  issn = {1572-0373},
  doi = {10.1075/is.7.3.03mac},
  url = {https://www.jbe-platform.com/content/journals/10.1075/is.7.3.03mac},
  abstract = {The development of robots that closely resemble human beings can contribute to cognitive research. An android provides an experimental apparatus that has the potential to be controlled more precisely than any human actor. However, preliminary results indicate that only very humanlike devices can elicit the broad range of responses that people typically direct toward each other. Conversely, to build androids capable of emulating human behavior, it is necessary to investigate social activity in detail and to develop models of the cognitive mechanisms that support this activity. Because of the reciprocal relationship between android development and the exploration of social mechanisms, it is necessary to establish the field of android science. Androids could be a key testing ground for social, cognitive, and neuroscientific theories as well as platform for their eventual unification. Nevertheless, subtle flaws in appearance and movement can be more apparent and eerie in very humanlike robots. This uncanny phenomenon may be symptomatic of entities that elicit our model of human other but do not measure up to it. If so, very humanlike robots may provide the best means of pinpointing what kinds of behavior are perceived as human, since deviations from human norms are more obvious in them than in more mechanical-looking robots. In pursuing this line of inquiry, it is essential to identify the mechanisms involved in evaluations of human likeness. One hypothesis is that, by playing on an innate fear of death, an uncanny robot elicits culturally-supported defense responses for coping with death's inevitability. An experiment, which borrows from methods used in terror management research, was performed to test this hypothesis.[Thomson Reuters Essential Science Indicators: Fast Breaking Paper in Social Sciences, May 2008]},
  file = {/home/fbence/Zotero/storage/IB9S7K82/MacDorman, Ishiguro - 2006 - The uncanny advantage of using androids in cognitive and social science research.pdf}
}

@article{maraisAutomaticClassificationSheep2014,
  title = {Automatic Classification of Sheep Behaviour Using 3-Axis Accelerometer Data},
  author = {Marais, Jacques and Petrus, Solomon and Roux, Le and Wolhuter, Riaan and Niesler, Thomas},
  date = {2014},
  file = {/home/fbence/Zotero/storage/VRDESB6X/Marais et al. - 2014 - Automatic classification of sheep behaviour using 3-axis accelerometer data.pdf}
}

@article{marchioroSowsActivityClassification2011,
  title = {Sows' Activity Classification Device Using Acceleration Data – {{A}} Resource Constrained Approach},
  author = {Marchioro, Gilberto Fernandes and Cornou, Cécile and Kristensen, Anders Ringgaard and Madsen, Jan},
  date = {2011-06},
  journaltitle = {Computers and Electronics in Agriculture},
  volume = {77},
  number = {1},
  pages = {110--117},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S0168169911000871?via\{\\%\}3Dihub https://www.sciencedirect.com/science/article/pii/S0168169911000871},
  abstract = {This paper discusses the main architectural alternatives and design decisions in order to implement a sows' activity classification model on electronic devices. The different possibilities are analyzed in practical and technical aspects, focusing on the implementation metrics, like cost, performance, complexity and reliability. The target architectures are divided into: server based, where the main processing element is a central computer; and embedded based, where the processing is distributed on devices attached to the animals. The initial classification model identifies the activities performed by the sows using a multi-process Kalman filter having, as input, 3-axes data from accelerometers. However, the power demanding hardware resources to run the filters require frequent battery recharges, making its use unsuitable in the current state-of-the-art. It motivated the development of a heuristic classification approach, focusing on the resource constrained characteristics of embedded systems. The new approach classifies the activities performed by the sows with accuracy close to 90\%. It was implemented as a hardware module that can easily be instantiated to provide preprocessed information to models in order to detect important situations in the sows' life, e.g. the onset of farrowing.}
}

@article{mccluneBehaviourtimeBudgetFunctional2015,
  title = {Behaviour-Time Budget and Functional Habitat Use of a Free-Ranging {{European}} Badger ( {{Meles}} Meles )},
  author = {Mcclune, David W and Marks, Nikki J and Delahay, Richard J and Montgomery, W Ian and Scantlebury, David M},
  date = {2015},
  pages = {1--7},
  doi = {10.1186/s40317-015-0025-z},
  isbn = {4031701500},
  keywords = {accelerometry,badger,behaviour,biosecurity,gps,meles meles,mustelid},
  file = {/home/fbence/Zotero/storage/WJHUJNP8/Mcclune et al. - 2015 - Behaviour-time budget and functional habitat use of a free-ranging European badger ( Meles meles ).pdf}
}

@article{mechAlphaStatusDominance1999,
  title = {Alpha Status, Dominance, and Division of Labor in Wolf Packs},
  author = {Mech, L David},
  date = {1999},
  journaltitle = {Canadian Journal of Zoology},
  volume = {77},
  number = {8},
  pages = {1196--1203},
  doi = {10.1139/z99-099},
  url = {http://www.nrcresearchpress.com/doi/abs/10.1139/z99-099}
}

@article{mengInferringIntentionalAgents2017,
  title = {Inferring {{Intentional Agents From Violation}} of {{Randomness}}},
  author = {Meng, Yuan and Griffiths, Thomas L and Xu, Fei},
  date = {2017},
  journaltitle = {CogSci 2017 Proceedings},
  number = {2008},
  pages = {2699--2704},
  url = {http://www.mturk.com/,},
  abstract = {Humans have a strong " cognitive compulsion " to infer in-tentional agents from violation of randomness and such an agency–nonrandomness link emerges early in development. In two studies, we directly quantified, formalized, and com-pared both ends of this link for the first time. In Experiment 1, two groups of participants viewed the same 256 binary se-quences (e.g., AABAAABA) and classified each as generated by agents/non-agents or by nonrandom/random processes. We found a strong correlation between two judgments: sequences viewed as more agentive also tended to be judged as less ran-dom. In Experiment 2, another two groups were asked to produce sequences that others might appreciate as agentive or nonrandom. Participant-generated sequences in the two con-ditions had a substantial overlap, indicating common guiding principles of agency and nonrandomness generation. Taken to-gether, the present studies provide evidence for a shared cog-nitive basis of agency detection and subjective randomness.},
  keywords = {agency,animate-inanimate distinction,nonrandomness link,subjective randomness},
  file = {/home/fbence/Zotero/storage/678NM5HN/Meng, Griffiths, Xu - 2017 - Inferring Intentional Agents From Violation of Randomness.pdf}
}

@article{miklosiEthoroboticsNewApproach2017,
  title = {Ethorobotics: {{A}} New Approach to Human-Robot Relationship},
  author = {Miklósi, Ádám and Korondi, Péter and Matellán, Vicente and Gácsi, Márta},
  date = {2017-06},
  journaltitle = {Frontiers in Psychology},
  volume = {8},
  eprint = {28649213},
  eprinttype = {pmid},
  pages = {958},
  publisher = {{Frontiers}},
  issn = {16641078},
  doi = {10.3389/fpsyg.2017.00958},
  url = {http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00958/full},
  abstract = {Here we aim to lay the theoretical foundations of human-robot relationship drawing upon insights from disciplines that govern relevant human behaviors: ecology and ethology. We show how the paradox of the so called “uncanny valley hypothesis” can be solved by applying the “niche” concept to social robots, and relying on the natural behavior of humans. Instead of striving to build human-like social robots, engineers should construct robots that are able to maximize their performance in their niche (being optimal for some specific functions), and if they are endowed with appropriate form of social competence then humans will eventually interact with them independent of their embodiment. This new discipline, which we call ethorobotics, could change social robotics, giving a boost to new technical approaches and applications. Keywords:},
  issue = {JUN},
  keywords = {Dog,Ethology,Human-robot interaction,Niche,Social competence,Social robotics,Uncanny valley}
}

@article{miklosiEthoroboticsNewApproach2017a,
  title = {Ethorobotics: {{A}} New Approach to Human-Robot Relationship},
  author = {Miklósi, Ádám and Korondi, Péter and Matellán, Vicente and Gácsi, Márta},
  date = {2017-06},
  journaltitle = {Frontiers in Psychology},
  volume = {8},
  pages = {958},
  publisher = {{Frontiers Research Foundation}},
  issn = {16641078},
  doi = {10.3389/fpsyg.2017.00958},
  url = {http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00958/full},
  abstract = {Here we aim to lay the theoretical foundations of human-robot relationship drawing upon insights from disciplines that govern relevant human behaviors: ecology and ethology. We show how the paradox of the so called "uncanny valley hypothesis" can be solved by applying the "niche" concept to social robots, and relying on the natural behavior of humans. Instead of striving to build human-like social robots, engineers should construct robots that are able to maximize their performance in their niche (being optimal for some specific functions), and if they are endowed with appropriate form of social competence then humans will eventually interact with them independent of their embodiment. This new discipline, which we call ethorobotics, could change social robotics, giving a boost to new technical approaches and applications.},
  issue = {JUN},
  keywords = {Dog,Ethology,Human-robot interaction,Niche,Social competence,Social robotics,Uncanny valley}
}

@article{miklosiWhatDoesIt2013,
  title = {What Does It Take to Become 'Best Friends'? {{Evolutionary}} Changes in Canine Social Competence},
  author = {Miklósi, Ádám and Topál, József},
  date = {2013-06},
  journaltitle = {Trends in Cognitive Sciences},
  volume = {17},
  number = {6},
  eprint = {23643552},
  eprinttype = {pmid},
  pages = {287--294},
  issn = {13646613},
  doi = {10.1016/j.tics.2013.04.005},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/23643552 http://linkinghub.elsevier.com/retrieve/pii/S1364661313000788},
  abstract = {The traditional and relatively narrow-focused research on ape-human comparisons has recently been significantly extended by investigations of different clades of animals, including the domestic dog (Canis familiaris). Here, we provide a short overview of how the comparative investigation of canine social behaviour advances our understanding of the evolution of social skills and argue that a system-level approach to dog social cognition provides a broader view on the 'human-likeness' of canine social competence. We introduce the concept of evolutionary social competence as a collateral notion of developmental social competence. We argue that such an extended perspective on social competence provides a useful tool for conceptualising wolf-dog differences in socio-cognitive functioning, as well as for considering specific social skills not in isolation, but as a part of a system. © 2013 Elsevier Ltd.},
  isbn = {1879-307X (Electronic)\$\textbackslash backslash\$r1364-6613 (Linking)}
}

@inproceedings{milloHumanLikenessRobots,
  title = {Human {{Likeness}} in Robots: {{Differences}} between Industrial and Non-Industrial Robots; {{Human Likeness}} in Robots: {{Differences}} between Industrial and Non-Industrial Robots},
  booktitle = {European {{Conference}} on {{Cognitive Ergonomics}} 2021},
  author = {Millo, Francesco and Gesualdo, Maria and Fraboni, Federico and Giusino, Davide},
  publisher = {{ACM}},
  location = {{New York, NY, USA}},
  url = {https://doi.org/10.1145/3452853.3452886},
  abstract = {This study aims to provide an original investigation of the morphological features and the anthropomorphic characteristics of industrial robots. In the introduction, we summarise some empirical findings on the topic, drawing to the Uncanny Valley hypothesis and other theoretical frameworks. Subsequently, we conduct an argumentative literature review to elicit the connection between industrial use and morphological features of robots, particularly in the European and Italian robotic context. We hypothesise that non-industrial robots are distinguishable from the other types of robots basing on their degree of Human Likeness and that facial features are crucial in determining such difference, whilst hands and fingers would report a higher level of HL in industrial robots. We tested our hypothesis using the open-source ABOT database, which aggregates descriptions of robots for industrial and non-industrial use. We found support for our hypothesis (p=.04, F=2.88). Ultimately, we offer some considerations about the physical features associated with the use of robots in the industrial context and their functionality. CCS CONCEPTS • collaborative and social computing devices; • empirical studies in interaction design; • social and professional topics ; KEYWORDS Industrial robots, cognitive processes in design, anthropomorphism, collaborative robots, uncanny valley ACM Reference Format:},
  isbn = {978-1-4503-8757-6},
  keywords = {anthropomorphism,cognitive processes in design,collaborative robots,Industrial robots,uncanny valley},
  file = {/home/fbence/Zotero/storage/IE57YKDJ/Millo et al. - Unknown - Human Likeness in robots Differences between industrial and non-industrial robots Human Likeness in robots Diff.pdf}
}

@book{moehlmanEquidsZebrasAsses2002,
  title = {Equids: Zebras, Asses, and Horses: Status Survey and Conservation Action Plan},
  author = {Moehlman, Patricia Des Roses},
  date = {2002},
  publisher = {{IUCN}}
}

@article{moehlmanFeralAssesEquus1998,
  title = {Feral Asses ({{Equus}} Africanus): Intraspecific Variation in Social Organization in Arid and Mesic Habitats},
  author = {Moehlman, Patricia D},
  date = {1998},
  journaltitle = {Applied Animal Behaviour Science},
  volume = {60},
  number = {2},
  pages = {171--195},
  publisher = {{Elsevier}}
}

@article{moriUncannyValley1970,
  title = {The Uncanny Valley},
  author = {Mori, Masahiro},
  date = {1970},
  journaltitle = {Energy},
  volume = {7},
  number = {4},
  pages = {33--35},
  file = {/home/fbence/Zotero/storage/MEWNBGWH/Mori - 1970 - The uncanny valley.pdf}
}

@article{moriUncannyValley2012,
  title = {The Uncanny Valley},
  author = {Mori, Masahiro and MacDorman, Karl F. and Kageki, Norri},
  date = {2012},
  journaltitle = {IEEE Robotics and Automation Magazine},
  volume = {19},
  number = {2},
  pages = {98--100},
  issn = {10709932},
  doi = {10.1109/MRA.2012.2192811},
  file = {/home/fbence/Zotero/storage/ELBFKHYQ/Mori, MacDorman, Kageki - 2012 - The uncanny valley.pdf}
}

@article{morvaiDiurnalReproductiveStageDependent2016,
  title = {Diurnal and {{Reproductive Stage-Dependent Variation}} of {{Parental Behaviour}} in {{Captive Zebra Finches}}},
  author = {Morvai, Boglárka and Nanuru, Sabine and Mul, Douwe and Kusche, Nina and Milne, Gregory and Székely, Tamás and Komdeur, Jan and Miklósi, Ádám and Pogány, Ákos},
  editor = {Vicario, David S},
  date = {2016-12},
  journaltitle = {PLOS ONE},
  volume = {11},
  number = {12},
  pages = {e0167368},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0167368},
  url = {http://dx.plos.org/10.1371/journal.pone.0167368}
}

@article{mullenLearningDoingHigh2017,
  title = {Learning by Doing, {{High Performance Computing}} Education in the {{MOOC}} Era},
  author = {Mullen, Julia and Byun, Chansup and Gadepally, Vijay and Samsi, Siddharth and Reuther, Albert and Kepner, Jeremy},
  date = {2017-07},
  journaltitle = {Journal of Parallel and Distributed Computing},
  volume = {105},
  pages = {105--115},
  publisher = {{Academic Press Inc.}},
  issn = {07437315},
  doi = {10.1016/j.jpdc.2017.01.015},
  abstract = {The High Performance Computing (HPC) community has spent decades developing tools that teach practitioners to harness the power of parallel and distributed computing. To create scalable and flexible educational experiences for practitioners in all phases of a career, we turn to Massively Open Online Courses (MOOCs). We detail the design of a unique self-paced online course that incorporates a focus on parallel solutions, personalization, and hands-on practice to familiarize student–users with their target system. Course material is presented through the lens of common HPC use cases and the strategies for parallelizing them. Using personalized paths, we teach researchers how to recognize the alignment between scientific applications and traditional HPC use cases, so they can focus on learning the parallelization strategies key to their workplace success. At the conclusion of their learning path, students should be capable of achieving performance gains on their HPC system.},
  keywords = {Hands-on learning,HPC education,Interactive supercomputing,MOOC,Open edX,Personalized digital learning,Professional education}
}

@article{mulryan-kyneTeachingLargeClasses2010,
  title = {Teaching Large Classes at College and University Level: {{Challenges}} and Opportunities},
  author = {Mulryan-Kyne, Catherine},
  date = {2010-04},
  journaltitle = {Teaching in Higher Education},
  volume = {15},
  number = {2},
  pages = {175--185},
  issn = {13562517},
  doi = {10.1080/13562511003620001},
  abstract = {The past decade has seen a substantial increase in the enrolment figures of tertiary level colleges and universities in OECD countries and it is predicted that this increase will continue. One of the likely consequences of these increases is the maintenance and/or increase of class sizes in colleges and universities, especially at undergraduate level. It is clear from the research literature that large classes at tertiary level create particular problems for staff and students alike, many of which can contribute to less effective teaching and learning. Lecturing still remains the predominant teaching approach in the context of large group undergraduate teaching. However, there is evidence that other teaching approaches that focus on making large group teaching more active and student centered are also being used. More active teaching approaches may go some way towards addressing some of the problems that are being encountered in the context of large group teaching. Support for and training of college teachers and further research is needed in this context. © 2010 Taylor \& Francis.},
  keywords = {Active teaching,Class size,College/university teaching,Large classes,Teaching approaches,The lecture}
}

@article{nagelkerkeRiseFallHIV2014,
  title = {The Rise and Fall of {{HIV}} in High-Prevalence Countries: A Challenge for Mathematical Modeling},
  author = {Nagelkerke, Nico J D and Arora, Paul and Jha, Prabhat and Williams, Brian and McKinnon, Lyle and de Vlas, Sake J},
  options = {useprefix=true},
  date = {2014},
  journaltitle = {PLoS Comput Biol},
  volume = {10},
  number = {3},
  pages = {e1003459},
  publisher = {{Public Library of Science}}
}

@article{nagyContextdependentHierarchiesPigeons2013,
  title = {Context-Dependent Hierarchies in Pigeons},
  author = {Nagy, Máté and Vásárhelyi, Gábor and Pettit, Benjamin and Roberts-Mariani, Isabella and Vicsek, Tamás and Biro, Dora},
  date = {2013},
  journaltitle = {Proceedings of the National Academy of Sciences},
  volume = {110},
  number = {32},
  pages = {13049--13054},
  publisher = {{National Acad Sciences}}
}

@article{neethirajanRecentAdvancesWearable2017,
  title = {Recent Advances in Wearable Sensors for Animal Health Management},
  author = {Neethirajan, Suresh},
  date = {2017-02},
  journaltitle = {Sensing and Bio-Sensing Research},
  volume = {12},
  pages = {15--29},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S2214180416301350},
  abstract = {Biosensors, as an application for animal health management, are an emerging market that is quickly gaining recognition in the global market. Globally, a number of sensors being produced for animal health management are at various stages of commercialization. Some technologies for producing an accurate health status and disease diagnosis are applicable only for humans, with few modifications or testing in animal models. Now, these innovative technologies are being considered for their future use in livestock development and welfare. Precision livestock farming techniques, which include a wide span of technologies, are being applied, along with advanced technologies like microfluidics, sound analyzers, image-detection techniques, sweat and salivary sensing, serodiagnosis, and others. However, there is a need to integrate all the available sensors and create an efficient online monitoring system so that animal health status can be monitored in real time, without delay. This review paper discusses the scope of different wearable technologies for animals, nano biosensors and advanced molecular biology diagnostic techniques for the detection of various infectious diseases of cattle, along with the efforts to enlist and compare these technologies with respect to their drawbacks and advantages in the domain of animal health management. The paper considers all recent developments in the field of biosensors and their applications for animal health to provide insight regarding the appropriate approach to be used in the future of enhanced animal welfare.},
  file = {/home/fbence/Zotero/storage/IZMPVCFX/Neethirajan - 2017 - Recent advances in wearable sensors for animal health management.pdf}
}

@article{nelsonImpactUnpredictableContext2016,
  title = {The Impact of an Unpredictable Context and Intolerance of Uncertainty on the Electrocortical Response to Monetary Gains and Losses},
  author = {Nelson, Brady D. and Kessel, Ellen M. and Jackson, Felicia and Hajcak, Greg},
  date = {2016-02},
  journaltitle = {Cognitive, Affective and Behavioral Neuroscience},
  volume = {16},
  number = {1},
  eprint = {26438205},
  eprinttype = {pmid},
  pages = {153--163},
  publisher = {{Springer New York LLC}},
  issn = {15307026},
  doi = {10.3758/s13415-015-0382-3},
  url = {https://link.springer.com/article/10.3758/s13415-015-0382-3},
  abstract = {There is growing evidence that unpredictability and uncertainty can alter reward system functioning. The present study examined the impact of (1) a task-irrelevant unpredictable relative to predictable context and (2) individual differences in intolerance of uncertainty (IU) on the reward-related positivity (RewP), an event-related potential (ERP) response to monetary gains relative to losses. Specifically, 64 participants listened to predictable and unpredictable tone sequences while electroencephalography was recorded during a monetary gambling task. Participants also completed the Intolerance of Uncertainty Scale, which measures both cognitive distress (prospective IU) and behavioral inhibition (inhibitory IU) elicited by uncertainty, in addition to the Depression Anxiety Stress Scale-21 and Penn State Worry Questionnaire. Results indicated that the RewP was reduced during the unpredictable relative to the predictable context. Greater self-reported anxiety elicited by the unpredictable context was associated with a decreased RewP, and a decreased RewP was associated with poorer lose-shift behavioral adjustment. Furthermore, the RewP mediated the relationship between self-reported anxiety elicited by the unpredictable context and lose-shift behavioral adjustment. The IU subscales demonstrated the opposite relationship with the RewP across both contexts—inhibitory IU was associated with an attenuated RewP and prospective IU was associated with an enhanced RewP. In contrast, anxiety, depression, stress, and worry symptomatology were not associated with the RewP. This is the first study to demonstrate that an unpredictable context and individual differences in the degree to which people cannot tolerate uncertainty impact an ERP measure of reward system functioning.},
  keywords = {Event-related potentials,Intolerance of uncertainty,Reward,Unpredictability},
  file = {/home/fbence/Zotero/storage/Y9T6G9M9/Nelson et al. - 2016 - The impact of an unpredictable context and intolerance of uncertainty on the electrocortical response to monetary.pdf}
}

@article{neumannInterdisciplinaryTeamworkHPC2017,
  title = {Interdisciplinary Teamwork in {{HPC}} Education: {{Challenges}}, Concepts, and Outcomes},
  author = {Neumann, Philipp and Kowitz, Christoph and Schranner, Felix and Azarnykh, Dmitrii},
  date = {2017-07},
  journaltitle = {Journal of Parallel and Distributed Computing},
  volume = {105},
  pages = {83--91},
  publisher = {{Academic Press Inc.}},
  issn = {07437315},
  doi = {10.1016/j.jpdc.2016.12.025},
  abstract = {We present our concept “Teamwork Across Disciplines” which enables interdisciplinary teamwork and soft skill training at course level. The concept is realized in the scope of the course “Turbulent Flow Simulation on HPC-Systems”. We describe the course curriculum and detail various additional aspects of the course with regard to student feedback, continuous course development techniques, and the student team projects.},
  keywords = {Computational fluid dynamics,High-performance computing,Interdisciplinary,Teaching,Teamwork}
}

@article{newmanStructureFunctionComplex2003,
  title = {The Structure and Function of Complex Networks},
  author = {Newman, Mark E J},
  date = {2003},
  journaltitle = {SIAM review},
  volume = {45},
  number = {2},
  pages = {167--256},
  publisher = {{SIAM}}
}

@article{newstromEvaluatingTrainingPrograms1995,
  title = {Evaluating Training Programs: {{The}} Four Levels, by {{Donald L}}. {{Kirkpatrick}}. (1994). {{San Francisco}}: {{Berrett-Koehler}}. 229 Pp., \$32.95 Cloth.},
  author = {Newstrom, John W.},
  date = {1995},
  journaltitle = {Human Resource Development Quarterly},
  volume = {6},
  number = {3},
  pages = {317--320},
  issn = {10448004},
  doi = {10.1002/hrdq.3920060310},
  url = {http://doi.wiley.com/10.1002/hrdq.3920060310}
}

@article{nicastriHumanImmunodeficiencyVirus12001,
  title = {Human Immunodeficiency Virus-1 Specific and Natural Cellular Immunity in {{HIV}} Seronegative Subjects with Multiple Sexual Exposures to Virus},
  author = {Nicastri, Emanuele and Ercoli, Lucia and Sarmati, Loredana and D'Ettorre, Gabriella and Iudicone, Paola and Massetti, Paola and Vullo, Vincenzo and Andreoni, Massimo},
  date = {2001},
  journaltitle = {Journal of medical virology},
  volume = {64},
  number = {3},
  pages = {232--237},
  publisher = {{Wiley Online Library}}
}

@inproceedings{niemelaMonitoringAcceptanceSocial2017,
  title = {Monitoring the Acceptance of a Social Service Robot in a Shopping Mall: {{First}} Results},
  booktitle = {{{ACM}}/{{IEEE International Conference}} on {{Human-Robot Interaction}}},
  author = {Niemelä, Marketta and Arvola, Anne and Aaltonen, Lina},
  date = {2017-03},
  pages = {225--226},
  publisher = {{IEEE Computer Society}},
  location = {{New York, NY, USA}},
  issn = {21672148},
  doi = {10.1145/3029798.3038333},
  url = {https://dl.acm.org/doi/10.1145/3029798.3038333},
  abstract = {People tend to respond positively to social service robots in field trials in public places. Less is known how their perceptions and attitudes evolve if the same robot is presented frequently in the same service setting and the novelty effect wears off. We have carried out two first questionnaire surveys to start monitoring shopping mall customers' attitudes and acceptance of a social service robot in the mall for a longer term (three years). The first survey concerned the idea of a social service robot in the mall and the second the physical robot itself. Especially the results of the "With robot" survey indicates high acceptance of socially engaging service robots in a shopping mall.},
  isbn = {978-1-4503-4885-0},
  keywords = {acceptance,attitudes,customer service,human-robot interaction,shopping mall,social robot}
}

@inproceedings{niemelaSocialServiceRobot2017,
  title = {A Social Service Robot in a Shopping Mall: {{Expectations}} of the Management, Retailers and Consumers},
  booktitle = {{{ACM}}/{{IEEE International Conference}} on {{Human-Robot Interaction}}},
  author = {Niemelä, Marketta and Heikkilä, Päivi and Lammi, Hanna},
  date = {2017-03},
  pages = {227--228},
  publisher = {{IEEE Computer Society}},
  location = {{New York, NY, USA}},
  issn = {21672148},
  doi = {10.1145/3029798.3038301},
  url = {https://dl.acm.org/doi/10.1145/3029798.3038301},
  abstract = {Consumers often respond positively to social service robots in retail context but less is known about the expectations and success criteria of the management and retailers for such robots. We have introduced a humanoid social robot (Pepper) in a shopping mall and report the results of a mall management workshop, interviews of eight retailers and a consumer customer workshop. The results show that the stakeholders find important that the robot creates warm and fun atmosphere in the mall as well as provides practical help for the customers and workers.},
  isbn = {978-1-4503-4885-0},
  keywords = {customer service,expectations,human-robot interaction,shopping mall,social robot}
}

@article{NoTitle,
  title = {No {{Title}}}
}

@article{numakunaiExploratoryBehaviorEthologically2012,
  title = {Exploratory Behavior in Ethologically Inspired Robot Behavioral Model},
  author = {Numakunai, Ryuichi and Ichikawa, Takuya and Gacsi, Marta and Korondi, Peter and Hashimoto, Hideki and Niitsuma, Mihoko},
  date = {2012},
  journaltitle = {Proceedings - IEEE International Workshop on Robot and Human Interactive Communication},
  pages = {577--582},
  doi = {10.1109/ROMAN.2012.6343813},
  abstract = {This paper presents an exploratory behavioral model for human-robot communication based on an ethological approach. To maintain long-term human-robot communication, building social relationships between the user and robot is important. As a model of social relationships between different species, we focus on human-dog relationships. We apply dogs' behaviors observed from the stranger situation test as a base model of the robot. Exploratory behavior is one of the dogs' behaviors. In this paper, human-robot communication is considered for the purpose of home-care support. For this purpose, an exploratory behavior model for home-care applications is proposed. © 2012 IEEE.},
  isbn = {9781467346054},
  keywords = {ethology,home-care application,human-robot communication,intelligent space,social robotics},
  file = {/home/fbence/Zotero/storage/VZKLUY8A/Numakunai et al. - 2012 - Exploratory behavior in ethologically inspired robot behavioral model.pdf}
}

@book{oecdTransferableSkillsTraining2012,
  title = {Transferable {{Skills Training}} for {{Researchers}}},
  author = {{OECD}},
  date = {2012-12},
  publisher = {{OECD}},
  doi = {10.1787/9789264179721-en},
  url = {https://www.oecd-ilibrary.org/science-and-technology/transferable-skills-training-for-researchers\{\\_\}9789264179721-en},
  isbn = {978-92-64-17971-4}
}

@article{olfati-saberConsensusCooperationNetworked2007,
  title = {Consensus and {{Cooperation}} in {{Networked Multi-Agent Systems}}},
  author = {Olfati-Saber, R and Fax, J A and Murray, R M},
  date = {2007-01},
  journaltitle = {Proceedings of the IEEE},
  volume = {95},
  number = {1},
  pages = {215--233},
  issn = {0018-9219},
  doi = {10.1109/JPROC.2006.887293},
  keywords = {algebraic grap,control systems,multi-agent systems}
}

@article{oreskesVerificationValidationConfirmation1994,
  title = {Verification, {{Validation}}, and {{Confirmation}} of {{Numerical Models}} in the {{Earth Sciences}}},
  author = {Oreskes, Naomi and Shrader-Frechette, Kristin and Belitz, Kenneth},
  date = {1994},
  journaltitle = {Science},
  volume = {263},
  number = {5147},
  pages = {641--646},
  publisher = {{American Association for the Advancement of Science}},
  issn = {0036-8075},
  doi = {10.1126/science.263.5147.641},
  url = {http://science.sciencemag.org/content/263/5147/641},
  abstract = {Verification and validation of numerical models of natural systems is impossible. This is because natural systems are never closed and because model results are always nonunique. Models can be confirmed by the demonstration of agreement between observation and prediction, but confirmation is inherently partial. Complete confirmation is logically precluded by the fallacy of affirming the consequent and by incomplete access to natural phenomena. Models can only be evaluated in relative terms, and their predictive value is always open to question. The primary value of models is heuristic.}
}

@article{orsiKutatoegyetemekAzEuropai2010,
  title = {Kutatóegyetemek Az Európai Felsôoktatásban És Az {{Egyesült Államokban}} - {{A MAGYARORSZÁGI KUTATÓEGYETEMEK NEMZETKÖZI ÖSSZEHASONLÍTÁSBAN}} – {{KÖRKÉP}}},
  author = {Örsi, Gábor},
  date = {2010},
  journaltitle = {Felsőoktatási Műhely},
  url = {https://www.felvi.hu/pub\{\\_\}bin/dload/felsooktatasimuhely/FeMu/2010\{\\_\}4/Femu\{\\_\}2010\{\\_\}4\{\\_\}25-36.pdf}
}

@article{ouIndependentIntroductionTwo1993,
  title = {Independent Introduction of Two Major {{HIV-1}} Genotypes into Distinct High-Risk Populations in {{Thailand}}},
  author = {Ou, C-Y and Weniger, B G and Luo, C-C and Kalish, M L and Gayle, H D and Young, N L and Schochetman, G and Takebe, Y and Yamazaki, S and Auwanit, W},
  date = {1993},
  journaltitle = {The Lancet},
  volume = {341},
  number = {8854},
  pages = {1171--1174},
  publisher = {{Elsevier}}
}

@article{ourabahQuantumEntanglementTemperature2017,
  title = {Quantum Entanglement and Temperature Fluctuations},
  author = {Ourabah, Kamel and Tribeche, Mouloud},
  date = {2017-04},
  journaltitle = {Physical Review E},
  volume = {95},
  number = {4},
  pages = {042111},
  publisher = {{American Physical Society}},
  issn = {2470-0045},
  doi = {10.1103/PhysRevE.95.042111},
  url = {http://link.aps.org/doi/10.1103/PhysRevE.95.042111}
}

@article{painterUseBioLoggers2016,
  title = {Use of Bio ‑ Loggers to Characterize Red Fox Behavior with Implications for Studies of Magnetic Alignment Responses in Free ‑ Roaming Animals {{Use}} of Bio ‑ Loggers to Characterize Red Fox Behavior with Implications for Studies of Magnetic Alignment Respons},
  author = {Painter, Michael S and Blanco, Justin A and Malkemper, E Pascal and Anderson, Chris and Sweeney, Daniel C},
  date = {2016},
  journaltitle = {Animal Biotelemetry},
  publisher = {{BioMed Central}},
  issn = {2050-3385},
  doi = {10.1186/s40317-016-0113-8},
  keywords = {accelerometer,Accelerometer,compass,light-dependent,magnetometer,Magnetometer,magnetoreception,Magnetoreception,radio-frequency,red fox,Sponta,spontaneous magnetic alignment,vulpes vulpes},
  file = {/home/fbence/Zotero/storage/95TMPJS4/Painter et al. - 2016 - Use of bio ‑ loggers to characterize red fox behavior with implications for studies of magnetic alignment.pdf}
}

@article{papworthMovementEcologyHuman2012,
  title = {Movement Ecology of Human Resource Users: {{Using}} Net Squared Displacement, Biased Random Bridges and Resource Utilization Functions to Quantify Hunter and Gatherer Behaviour},
  author = {Papworth, Sarah K. and Bunnefeld, Nils and Slocombe, Katie and Milner-Gulland, E. J.},
  date = {2012},
  journaltitle = {Methods in Ecology and Evolution},
  volume = {3},
  number = {3},
  pages = {584--594},
  issn = {2041210X},
  doi = {10.1111/j.2041-210X.2012.00189.x},
  abstract = {1. Understanding human resource extraction is crucial for conservation science, allowing accurate assessments of system sustainability and testing key assumptions about human resource users. 2.We apply ecological methods and principles to Global Positioning System (GPS) data on human movement to investigate the ecological and behavioural differences between human hunters and non-hunters, a method which can be reproduced with any species which routinely return to a central place. The integration of movement ecology and habitat selection can greatly augment the applicability and scope of both disciplines, and we explore the issues that arise from integration, because of the differing data types and methods used by each approach. 3.We propose an adaptable methodological framework which can be used to combine movement ecology and habitat selection when using data from GPS tracking devices, whether from human or animal foragers. The methodology is based on three steps and can be implemented in the free downloadable statistical program R, using the full code in the Data S1. 4.First, we show that net squared displacement, coupled with nonlinear mixed-effects models, is suitable for quantifying characteristics of small-scale movement, such as daily travel patterns, and extracting parts of these journeys for analysis. 5.Secondly, having extracted part of a journey, biased random bridges use the auto-correlated GIS tracking data to create a utilization distribution (UD) for each individual. This method includes movement between known locations to estimate use intensity in an area. 6.Finally, the UD can be analysed by a resource utilization function which relates the intensity of use to landscape features of an area to identify habitats selected by an individual. This can be used to predict use of the landscape at larger scales for both individuals and an entire population. 7. This methodological framework is a flexible method to accurately assess human and animal resource use and movement through the natural environment. Podcast. If you are having difficulty accessing this podcast, please click here © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society.},
  keywords = {Habitats - conservation,Spatial or time-series - statistics},
  file = {/home/fbence/Zotero/storage/7VPM8JD7/Kays et al. - 2019 - Multinomial analysis of behavior statistical methods.pdf}
}

@article{papworthMovementEcologyHuman2012a,
  title = {Movement Ecology of Human Resource Users: Using Net Squared Displacement, Biased Random Bridges and Resource Utilization Functions to Quantify Hunter and Gatherer Behaviour},
  author = {Papworth, Sarah K. and Bunnefeld, Nils and Slocombe, Katie and Milner-Gulland, E. J.},
  date = {2012-06},
  journaltitle = {Methods in Ecology and Evolution},
  volume = {3},
  number = {3},
  pages = {584--594},
  publisher = {{John Wiley \& Sons, Ltd}},
  issn = {2041210X},
  doi = {10.1111/j.2041-210X.2012.00189.x},
  url = {http://doi.wiley.com/10.1111/j.2041-210X.2012.00189.x},
  abstract = {1. Understanding human resource extraction is crucial for conservation science, allowing accurate assessments of system sustainability and testing key assumptions about human resource users. 2.We apply ecological methods and principles to Global Positioning System (GPS) data on human movement to investigate the ecological and behavioural differences between human hunters and non-hunters, a method which can be reproduced with any species which routinely return to a central place. The integration of movement ecology and habitat selection can greatly augment the applicability and scope of both disciplines, and we explore the issues that arise from integration, because of the differing data types and methods used by each approach. 3.We propose an adaptable methodological framework which can be used to combine movement ecology and habitat selection when using data from GPS tracking devices, whether from human or animal foragers. The methodology is based on three steps and can be implemented in the free downloadable statistical program R, using the full code in the Data S1. 4.First, we show that net squared displacement, coupled with nonlinear mixed-effects models, is suitable for quantifying characteristics of small-scale movement, such as daily travel patterns, and extracting parts of these journeys for analysis. 5.Secondly, having extracted part of a journey, biased random bridges use the auto-correlated GIS tracking data to create a utilization distribution (UD) for each individual. This method includes movement between known locations to estimate use intensity in an area. 6.Finally, the UD can be analysed by a resource utilization function which relates the intensity of use to landscape features of an area to identify habitats selected by an individual. This can be used to predict use of the landscape at larger scales for both individuals and an entire population. 7. This methodological framework is a flexible method to accurately assess human and animal resource use and movement through the natural environment. Podcast. If you are having difficulty accessing this podcast, please click here © 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society.},
  keywords = {Habitats - conservation,Spatial or time-series - statistics},
  file = {/home/fbence/Zotero/storage/VDKCLAYY/Papworth et al. - 2012 - Movement ecology of human resource users using net squared displacement, biased random bridges and resource uti.pdf}
}

@incollection{pascualEffectsTopologyAwareAllocation2009,
  title = {Effects of {{Topology-Aware Allocation Policies}} on {{Scheduling Performance}}},
  booktitle = {Lecture {{Notes}} in {{Computer Science}} (Including Subseries {{Lecture Notes}} in {{Artificial Intelligence}} and {{Lecture Notes}} in {{Bioinformatics}})},
  author = {Pascual, Jose Antonio and Navaridas, Javier and Miguel-Alonso, Jose},
  date = {2009},
  volume = {5798 LNCS},
  pages = {138--156},
  issn = {03029743},
  url = {http://link.springer.com/10.1007/978-3-642-04633-9\{\\_\}8},
  abstract = {This paper studies the influence that job placement may have on scheduling performance, in the context of massively parallel computing systems. A simulation-based performance study is carried out, using workloads extracted from real systems logs. The starting point is a parallel system built around a k-ary n-tree network and using well-known scheduling algorithms (FCFS and backfilling). We incorporate an allocation policy that tries to assign to each job a contiguous network partition, in order to improve communication performance. This policy results in severe scheduling inefficiency due to increased system fragmentation. A relaxed version of it, which we call quasi-contiguous allocation, reduces this adverse effect. Experiments show that, in those cases where the exploitation of communication locality results in an effective reduction of application execution time, the achieved gains more than compensate the scheduling inefficiency, therefore resulting in better overall performance. © 2009 Springer-Verlag Berlin Heidelberg.},
  isbn = {3-642-04632-0}
}

@book{pastor-satorrasEvolutionStructureInternet2007,
  title = {Evolution and Structure of the {{Internet}}: {{A}} Statistical Physics Approach},
  author = {Pastor-Satorras, Romualdo and Vespignani, Alessandro},
  date = {2007},
  publisher = {{Cambridge University Press}}
}

@article{pattersonComparisonTechniquesClassifying2019,
  title = {A Comparison of Techniques for Classifying Behavior from Accelerometers for Two Species of Seabird},
  author = {Patterson, Allison and Gilchrist, Hugh Grant and Chivers, Lorraine and Hatch, Scott and Elliott, Kyle},
  date = {2019},
  journaltitle = {Ecology and Evolution},
  volume = {9},
  number = {6},
  pages = {3030--3045},
  doi = {10.1002/ece3.4740},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/ece3.4740},
  abstract = {Abstract The behavior of many wild animals remains a mystery, as it is difficult to quantify behavior of species that cannot be easily followed throughout their daily or seasonal movements. Accelerometers can solve some of these mysteries, as they collect activity data at a high temporal resolution (\textbackslash textless1 s), can be relatively small (\textbackslash textless1 g) so they minimally disrupt behavior, and are increasingly capable of recording data for long periods. Nonetheless, there is a need for increased validation of methods to classify animal behavior from accelerometers to promote widespread adoption of this technology in ecology. We assessed the accuracy of six different behavioral assignment methods for two species of seabird, thick-billed murres (Uria lomvia) and black-legged kittiwakes (Rissa tridactyla). We identified three behaviors using tri-axial accelerometers: standing, swimming, and flying, after classifying diving using a pressure sensor for murres. We evaluated six classification methods relative to independent classifications from concurrent GPS tracking data. We used four variables for classification: depth, wing beat frequency, pitch, and dynamic acceleration. Average accuracy for all methods was \textbackslash textgreater98\% for murres, and 89\% and 93\% for kittiwakes during incubation and chick rearing, respectively. Variable selection showed that classification accuracy did not improve with more than two (kittiwakes) or three (murres) variables. We conclude that simple methods of behavioral classification can be as accurate for classifying basic behaviors as more complex approaches, and that identifying suitable accelerometer metrics is more important than using a particular classification method when the objective is to develop a daily activity or energy budget. Highly accurate daily activity budgets can be generated from accelerometer data using multiple methods and a small number of accelerometer metrics; therefore, identifying a suitable behavioral classification method should not be a barrier to using accelerometers in studies of seabird behavior and ecology.},
  keywords = {accelerometer,animal behavior,behavioral classification,movement ecology,Rissa tridactyla,seabird tracking,Uria lomvia},
  file = {/home/fbence/Zotero/storage/DJBQZZP2/Patterson et al. - 2019 - A comparison of techniques for classifying behavior from accelerometers for two species of seabird.pdf}
}

@article{perezvelazquezSimpleGeneralPrinciple2019,
  title = {On a {{Simple General Principle}} of {{Brain Organization}}},
  author = {Perez Velazquez, Jose L. and Mateos, Diego M. and Guevara Erra, Ramon},
  date = {2019},
  journaltitle = {Frontiers in Neuroscience},
  volume = {13},
  issn = {1662453X},
  doi = {10.3389/fnins.2019.01106},
  abstract = {A possible framework to characterize nervous system dynamics and its organization in conscious and unconscious states is introduced, derived from a high level perspective on the coordinated activity of brain cell ensembles. Some questions are best addressable in a global framework and here we build on past observations about the structure of configurations of brain networks in conscious and unconscious states and about neurophysiological results. Aiming to bind some results together into some sort of coherence with a central theme, the scenario that emerges underscores the crucial importance of the creation and dissipation of energy gradients in brain cellular ensembles resulting in maximization of the configurations in the functional connectivity among those networks that favor conscious awareness and healthy conditions. These considerations are then applied to indicate approaches that can be used to improve neuropathological syndromes.},
  issue = {October},
  keywords = {brain dynamics,cognition,coma,consciousness,entropy,epilepsy,free energy,synchrony},
  file = {/home/fbence/Zotero/storage/Q5YGDS2A/Perez Velazquez, Mateos, Guevara Erra - 2019 - On a Simple General Principle of Brain Organization.pdf}
}

@article{perunovStatisticalPhysicsAdaptation,
  title = {Statistical {{Physics}} of {{Adaptation}}},
  author = {Perunov, Nikolay and Marsland, Robert A and England, Jeremy L},
  doi = {10.1103/PhysRevX.6.021036},
  url = {https://journals.aps.org/prx/pdf/10.1103/PhysRevX.6.021036},
  abstract = {Whether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave in the way they would at thermal equilibrium. Rather, the probability of finding such a system in a given microscopic arrangement may deviate strongly from the Boltzmann distribution, raising the question of whether thermodynamics still has anything to tell us about which arrangements are the most likely to be observed. In this work, we build on past results governing nonequilibrium thermodynamics and define a generalized Helmholtz free energy that exactly delineates the various factors that quantitatively contribute to the relative probabilities of different outcomes in far-from-equilibrium stochastic dynamics. By applying this expression to the analysis of two examples—namely, a particle hopping in an oscillating energy landscape and a population composed of two types of exponentially growing self-replicators—we illustrate a simple relationship between outcome-likelihood and dissipative history. In closing, we discuss the possible relevance of such a thermodynamic principle for our understanding of self-organization in complex systems, paying particular attention to a possible analogy to the way evolutionary adaptations emerge in living things.},
  keywords = {Biological Physics,Complex Systems,Statistical Physics,Subject Areas}
}

@article{phelanWhatComplexityScience2001,
  title = {What {{Is Complexity Science}}, {{Really}}?},
  author = {Phelan, Steven E},
  date = {2001},
  journaltitle = {Emergence},
  volume = {3},
  number = {1},
  pages = {120--136},
  doi = {10.1207/S15327000EM0301_08},
  url = {http://dx.doi.org/10.1207/S15327000EM0301\{\\_\}08}
}

@article{piantadosiExaminationSecondRegion2008,
  title = {Examination of a Second Region of the {{HIV}} Type 1 Genome Reveals Additional Cases of Superinfection},
  author = {Piantadosi, Anne and Ngayo, Musa Otieno and Chohan, Bhavna and Overbaugh, Julie},
  date = {2008},
  journaltitle = {AIDS research and human retroviruses},
  volume = {24},
  number = {9},
  pages = {1221--1224},
  publisher = {{Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA}}
}

@article{pifarreEffectZooVisitors2012,
  title = {The Effect of Zoo Visitors on the Behaviour and Faecal Cortisol of the {{Mexican}} Wolf ({{Canis}} Lupus Baileyi)},
  author = {Pifarré, María and Valdez, Ricardo and González-Rebeles, Carlos and Vázquez, Carlos and Romano, Marta and Galindo, Francisco},
  date = {2012-01},
  journaltitle = {Applied Animal Behaviour Science},
  volume = {136},
  number = {1},
  pages = {57--62},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S0168159111003716 https://www.sciencedirect.com/science/article/abs/pii/S0168159111003716?via\{\\%\}3Dihub},
  abstract = {The effect of zoo visitors on the behaviour and physiological responses of the Mexican wolf has not been documented but is worthy of investigation since it is a critically endangered native species and most of the population live in zoos. The effect of the number of visitors was assessed in 12 wolves (five males and seven females) in three zoos of central Mexico. Each wolf was observed for a total of 72h on Saturdays, Sundays, Mondays and Tuesdays (6h/day) during a three-week period. Scan sampling was used to obtain individual time budgets. A faecal sample was collected on the following morning of each observation day from 10 wolves to determine cortisol level (RIA). A repeated measures analysis of variance revealed that there was an effect of day on the proportion of time lying (P\textbackslash textless0.01), eating (P\textbackslash textless0.01) and in locomotion (P\textbackslash textless0.01). Wolves spent less time lying on Saturdays and Sundays (0.2980±0.012 and 0.3266±0.012, respectively) than on Mondays and Tuesdays (0.3821±0.012 and 0.4075±0.012, respectively), as well as less time eating on weekend days (Saturdays 0.1214±0.015, Sundays 0.0556±0.015) than in the other 2days (Mondays 0.816±0.015 and Tuesdays 0.0915±0.015). Mean faecal cortisol was 203.7ng/g of DM and ranged from 113.10 to 314.48ng/g. There was an effect of day on the faecal cortisol response (P\textbackslash textless0.01) with wolves having higher cortisol response on Sundays (242.50ng/g±8.48) compared to the other 3days (Saturdays 192.71±8.48, Mondays 170.73ng/g±7.80, Tuesdays 183.82ng/g±8.48). This is the first study that measures faecal cortisol of Mexican wolves. These results indicate that the amount of visitors in zoos influence the behaviour and adrenal activity of these animals which could be undesirable for ex situ conservation efforts of this endangered species.}
}

@article{pinillosLongtermAssessmentService2016,
  title = {Long-Term Assessment of a Service Robot in a Hotel Environment},
  author = {Pinillos, Roberto and Marcos, Samuel and Feliz, Raul and Zalama, Eduardo and Gómez-García-Bermejo, Jaime},
  date = {2016-05},
  journaltitle = {Robotics and Autonomous Systems},
  volume = {79},
  pages = {40--57},
  publisher = {{Elsevier B.V.}},
  issn = {09218890},
  doi = {10.1016/j.robot.2016.01.014},
  abstract = {The long term evaluation of the Sacarino robot is presented in this paper. The study is aimed to improve the robot‘s capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regarding navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot's operation in the hotel through successive refinements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results.},
  keywords = {Metric,Robot assessment,Service robot,Social robot}
}

@article{pinkertonHowManySexuallyacquired2007,
  title = {How Many Sexually-Acquired {{HIV}} Infections in the {{USA}} Are Due to Acute-Phase {{HIV}} Transmission?},
  author = {Pinkerton, Steven D},
  date = {2007},
  journaltitle = {AIDS (London, England)},
  volume = {21},
  number = {12},
  pages = {1625},
  publisher = {{NIH Public Access}}
}

@article{piwekEmpiricalEvaluationUncanny2014,
  title = {Empirical Evaluation of the Uncanny Valley Hypothesis Fails to Confirm the Predicted Effect of Motion},
  author = {Piwek, Lukasz and McKay, Lawrie S. and Pollick, Frank E.},
  date = {2014-03},
  journaltitle = {Cognition},
  volume = {130},
  number = {3},
  eprint = {24374019},
  eprinttype = {pmid},
  pages = {271--277},
  publisher = {{Elsevier}},
  issn = {00100277},
  doi = {10.1016/j.cognition.2013.11.001},
  abstract = {The uncanny valley hypothesis states that the acceptability of an artificial character will not increase linearly in relation to its likeness to human form. Instead, after an initial rise in acceptability there will be a pronounced decrease when the character is similar, but not identical to human form (Mori, 1970/2012). Moreover, it has been claimed but never directly tested that movement would accentuate this dip and make moving characters less acceptable. We used a number of full-body animated computer characters along with a parametrically defined motion set to examine the effect of motion quality on the uncanny valley. We found that improving the motion quality systematically improved the acceptability of the characters. In particular, the character classified in the deepest location of the uncanny valley became more acceptable when it was animated. Our results showed that although an uncanny valley was found for static characters, the deepening of the valley with motion, originally predicted by Mori (1970/2012), was not obtained. © 2013 Elsevier B.V.},
  keywords = {Action perception,Affect recognition,Animation,Biological motion,Uncanny valley},
  file = {/home/fbence/Zotero/storage/G86LDZ9F/Piwek, McKay, Pollick - 2014 - Empirical evaluation of the uncanny valley hypothesis fails to confirm the predicted effect of motion.pdf}
}

@article{powersEVALUATIONPRECISIONRECALL2011,
  title = {{{EVALUATION}}: {{FROM PRECISION}}, {{RECALL AND F-MEASURE TO ROC}}, {{INFORMEDNESS}}, {{MARKEDNESS}} \& {{CORRELATION}}},
  author = {Powers, D M W and {Ailab}},
  date = {2011},
  journaltitle = {Journal of Machine Learning Technologies},
  volume = {2},
  number = {1},
  pages = {37--63},
  issn = {2229-3981},
  url = {http://www.bioinfo.in/contents.php?id=51},
  abstract = {Commonly used evaluation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corresponding identification of chance or base case levels of the statistic. Using these measures a system that performs worse in the objective sense of Informedness, can appear to perform better under any of these commonly used measures. We discuss several concepts and measures that reflect the probability that prediction is informed versus chance. Informedness and introduce Markedness as a dual measure for the probability that prediction is marked versus chance. Finally we demonstrate elegant connections between the concepts of Informedness, Markedness, Correlation and Significance as well as their intuitive relationships with Recall and Precision, and outline the extension from the dichotomous case to the general multi-class case.},
  keywords = {Correlation,DeltaP,F-Measure,Informedness and Markedness,Kappa,Rand Accuracy,Recall and Precision,Significance}
}

@inproceedings{pripflResultsRealWorld2016,
  title = {Results of a Real World Trial with a Mobile Social Service Robot for Older Adults},
  booktitle = {{{ACM}}/{{IEEE International Conference}} on {{Human-Robot Interaction}}},
  author = {Pripfl, Jürgen and Körtner, Tobias and Batko-Klein, Daliah and Hebesberger, Denise and Weninger, Markus and Gisinger, Christoph and Frennert, Susanne and Eftring, Hakan and Antona, Margarita and Adami, Ilia and Weiss, Astrid and Bajones, Markus and Vincze, Markus},
  date = {2016-04},
  volume = {2016-April},
  pages = {497--498},
  publisher = {{IEEE Computer Society}},
  issn = {21672148},
  doi = {10.1109/HRI.2016.7451824},
  abstract = {Robots are an increasingly discussed solution for assistance of seniors. Importance of testing natural interaction therefore becomes crucial. This paper presents first results of a study with an autonomous mobile social service robot prototype that was deployed in 18 private households of senior adults aged 75 years and older for a total of 371 days. Findings show that utility met the users' expectations. However, the robot was rather seen as a toy instead of being supportive for independent living. Furthermore, despite of an emergency function of the robot, perceived safety did not increase. Reasons for this might be the good health conditions of our users, a lack of technological robustness and slow performance of the prototype. However, users believed that a market ready version of the robot would be vital for supporting people who are more fragile and more socially isolated.},
  isbn = {978-1-4673-8370-7},
  keywords = {Assistive robots,Elderly users,HRI,Natural interaction,Social service robots}
}

@article{promadejBroadHumanImmunodeficiency2003,
  title = {Broad Human Immunodeficiency Virus ({{HIV}})–Specific {{T}} Cell Responses to Conserved {{HIV}} Proteins in {{HIV-seronegative}} Women Highly Exposed to a Single {{HIV-infected}} Partner},
  author = {Promadej, Nattawan and Costello, Caroline and Wernett, Mary M and Kulkarni, Prasad S and Robison, Valerie A and Nelson, Kenrad E and Hodge, Thomas W and Suriyanon, Vinai and Duerr, Ann and McNicholl, Janet M},
  date = {2003},
  journaltitle = {Journal of Infectious Diseases},
  volume = {187},
  number = {7},
  pages = {1053--1063},
  publisher = {{Oxford University Press}}
}

@article{quirkeFactorsInfluencingPrevalence2012,
  title = {Factors Influencing the Prevalence of Stereotypical Behaviour in Captive Cheetahs ({{Acinonyx}} Jubatus)},
  author = {Quirke, Thomas and O'Riordan, Ruth M. and Zuur, Alain},
  date = {2012-12},
  journaltitle = {Applied Animal Behaviour Science},
  volume = {142},
  pages = {189--197},
  publisher = {{Elsevier}},
  url = {https://www.sciencedirect.com/science/article/pii/S0168159112002729 https://www.sciencedirect.com/science/article/abs/pii/S0168159112002729?via\{\\%\}3Dihub},
  abstract = {The purpose of the current study was to investigate the factors which influence the prevalence of stereotypical behaviour in captive cheetahs. An information theory approach highlighted that the most optimal model was the controllable husbandry factors model with the size of enclosures, group membership, feeding regime and the ability to view other cheetahs in adjacent enclosures being the significant factors within the model which determined the occurrence of stereotypical behaviour. Increasing size of enclosure decreased this behaviour, whilst being solitary, being fed on a predictable feeding regime and having the ability to view other cheetahs in adjacent enclosures increased levels of stereotypical behaviour. These findings allow zoological institutions to focus on these factors in order to reduce the occurrence of stereotypical behaviour in captive cheetahs. Although cheetahs were used as the subject animal in this study, this type of research can be utilised for any captive species in order to understand unwanted behaviours or behaviours that zoological institutions wish to promote, so a behaviourally healthy captive population can be exhibited, reproduced and subsequently conserved.}
}

@article{rabbAttachmentFrameworkHumanRobot2021,
  title = {An {{Attachment Framework}} for {{Human-Robot Interaction}}},
  author = {Rabb, Nicholas and Law, Theresa and Chita-Tegmark, Meia and Scheutz, Matthias},
  date = {2021-07},
  journaltitle = {International Journal of Social Robotics 2021},
  pages = {1--21},
  publisher = {{Springer}},
  issn = {1875-4805},
  doi = {10.1007/S12369-021-00802-9},
  url = {https://link.springer.com/article/10.1007/s12369-021-00802-9},
  abstract = {Attachment theory is a research area in psychology that has enjoyed decades of successful study, and has subsequently become explored in realms beyond that of the original infant-caregiver bonds. Now, attachment is studied in relation to pets, symbols (such as deities), objects, technologies, and notably for our purposes, robots. When we discuss attachment in Human-Robot Interaction (HRI), is “attachment” to a robot the same as being attached to a pet? Or does it more closely resemble attachment to a technology device such as a smartphone? Through untangling the concept of attachment in HRI, we summarize a breadth of the existing attachment literature in a unified spectrum. We present a notion of weak attachment, and strong attachment before setting both as distinct ends of a spectrum of attachment. We motivate this spectrum by teasing out the underlying theoretical basis for strong attachment, and how capabilities of the attachment figure could lead to stronger or weaker attachment. This more nuanced, multi-dimensional representation of attachment allows us to present a clarified categorization of where various human-robot bonds explored in HRI studies fit on the spectrum, where robots in general could place, and how a clearer definition of human-robot attachment can benefit future HRI studies.},
  keywords = {Control,Mechatronics,Robotics},
  file = {/home/fbence/Zotero/storage/WGBZ8X6S/Rabb et al. - 2021 - An Attachment Framework for Human-Robot Interaction.pdf}
}

@article{rahmanCattleBehaviourClassification2018,
  title = {Cattle Behaviour Classification from Collar, Halter, and Ear Tag Sensors},
  author = {Rahman, A. and Smith, D.V. and Little, B. and Ingham, A.B. and Greenwood, P.L. and Bishop-Hurley, G.J.},
  date = {2018-03},
  journaltitle = {Information Processing in Agriculture},
  volume = {5},
  number = {1},
  pages = {124--133},
  publisher = {{Elsevier}},
  issn = {2214-3173},
  doi = {10.1016/J.INPA.2017.10.001},
  url = {https://www.sciencedirect.com/science/article/pii/S2214317317301099?dgcid=raven\{\\_\}sd\{\\_\}recommender\{\\_\}email},
  abstract = {In this paper, we summarise the outcome of a set of experiments aimed at classifying cattle behaviour based on sensor data. Each animal carried sensors generating time series accelerometer data placed on a collar on the neck at the back of the head, on a halter positioned at the side of the head behind the mouth, or on the ear using a tag. The purpose of the study was to determine how sensor data from different placement can classify a range of typical cattle behaviours. Data were collected and animal behaviours (grazing, standing or ruminating) were observed over a common time frame. Statistical features were computed from the sensor data and machine learning algorithms were trained to classify each behaviour. Classification accuracies were computed on separate independent test sets. The analysis based on behaviour classification experiments revealed that different sensor placement can achieve good classification accuracy if the feature space (representing motion patterns) between the training and test animal is similar. The paper will discuss these analyses in detail and can act as a guide for future studies.},
  file = {/home/fbence/Zotero/storage/LWSMPLN5/Rahman et al. - 2018 - Cattle behaviour classification from collar, halter, and ear tag sensors.pdf}
}

@article{rainwaterNoEvidenceRapid2005,
  title = {No Evidence for Rapid Subtype {{C}} Spread within an Epidemic in Which Multiple Subtypes and Intersubtype Recombinants Circulate},
  author = {Rainwater, Stephanie and DeVange, Shannon and Sagar, Manish and Ndinya-Achola, J and Mandaliya, Kishorchandra and Kreiss, Joan K and Overbaugh, Julie},
  date = {2005},
  journaltitle = {AIDS Research \& Human Retroviruses},
  volume = {21},
  number = {12},
  pages = {1060--1065},
  publisher = {{Mary Ann Liebert, Inc. 2 Madison Avenue Larchmont, NY 10538 USA}}
}

@article{rambautHumanImmunodeficiencyVirus2001,
  title = {Human Immunodeficiency Virus: Phylogeny and the Origin of {{HIV-1}}},
  author = {Rambaut, Andrew and Robertson, David L and Pybus, Oliver G and Peeters, Martine and Holmes, Edward C},
  date = {2001},
  journaltitle = {Nature},
  volume = {410},
  number = {6832},
  pages = {1047--1048},
  publisher = {{Nature Publishing Group}}
}

@article{rasmussenPhylodynamicInferenceStructured2014,
  title = {Phylodynamic Inference for Structured Epidemiological Models},
  author = {Rasmussen, David A and Volz, Erik M and Koelle, Katia},
  date = {2014},
  journaltitle = {PLoS Comput Biol},
  volume = {10},
  number = {4},
  pages = {e1003570},
  publisher = {{Public Library of Science}}
}

@article{rastMachineLearningGoes2020,
  title = {Machine Learning Goes Wild: {{Using}} Data from Captive Individuals to Infer Wildlife Behaviours},
  author = {Rast, W. and Kimmig, S.E. and Giese, L. and Berger, A.},
  date = {2020},
  journaltitle = {PLoS ONE},
  volume = {15},
  number = {5},
  publisher = {{Public Library of Science}},
  issn = {19326203},
  doi = {10.1371/journal.pone.0227317},
  abstract = {© 2020 Rast et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 1. Remotely tracking distinct behaviours of animals using acceleration data and machine learning has been carried out successfully in several species in captive settings. In order to study the ecology of animals in natural habitats, such behaviour classification models need to be transferred to wild individuals. However, at present, the development of those models usually requires direct observation of the target animals. 2. The goal of this study was to infer the behaviour of wild, free-roaming animals from acceleration data by training behaviour classification models on captive individuals, without the necessity to observe their wild conspecifics. We further sought to develop methods to validate the credibility of the resulting behaviour extrapolations. 3. We trained two machine learning algorithms proposed by the literature, Random Forest (RF) and Support Vector Machine (SVM), on data from captive red foxes (Vulpes vulpes) and later applied them to data from wild foxes. We also tested a new advance for behaviour classification, by applying a moving window to an Artificial Neural Network (ANN). Finally, we investigated four strategies to validate our classification output. 4. While all three machine learning algorithms performed well under training conditions (Kappa values: RF (0.82), SVM (0.78), ANN (0.85)), the established methods, RF and SVM, failed in classifying distinct behaviours when transferred from captive to wild foxes. Behaviour classification with the ANN and a moving window, in contrast, inferred distinct behaviours and showed consistent results for most individuals. 5. Our approach is a substantial improvement over the methods previously proposed in the literature as it generated plausible results for wild fox behaviour. We were able to infer the behaviour of wild animals that have never been observed in the wild and to further illustrate the credibility of the output. This framework is not restricted to foxes but can be applied to infer the behaviour of many other species and thus empowers new advances in behavioural ecology.}
}

@article{reddFrequencyImplicationsHIV2013,
  title = {Frequency and Implications of {{HIV}} Superinfection},
  author = {Redd, Andrew D and Quinn, Thomas C and Tobian, Aaron A R},
  date = {2013},
  journaltitle = {The Lancet infectious diseases},
  volume = {13},
  number = {7},
  pages = {622--628},
  publisher = {{Elsevier}}
}

@article{reddIdentificationHIVSuperinfection2011,
  title = {Identification of {{HIV}} Superinfection in Seroconcordant Couples in {{Rakai}}, {{Uganda}}, by Use of next-Generation Deep Sequencing},
  author = {Redd, Andrew D and Collinson-Streng, Aleisha and Martens, Craig and Ricklefs, Stacy and Mullis, Caroline E and Manucci, Jordyn and Tobian, Aaron A R and Selig, Ethan J and Laeyendecker, Oliver and Sewankambo, Nelson and {Others}},
  date = {2011},
  journaltitle = {Journal of clinical microbiology},
  volume = {49},
  number = {8},
  pages = {2859--2867},
  publisher = {{Am Soc Microbiol}}
}

@article{renjifoPreferentialInuteroTransmission2004,
  title = {Preferential In-Utero Transmission of {{HIV-1}} Subtype {{C}} as Compared to {{HIV-1}} Subtype {{A}} or {{D}}},
  author = {Renjifo, Boris and Gilbert, Peter and Chaplin, Beth and Msamanga, Gernard and Mwakagile, Davis and Fawzi, Wafaie and Essex, Max and Vitamin, Tanzanian and Group, H I V Study and {Others}},
  date = {2004},
  journaltitle = {Aids},
  volume = {18},
  number = {12},
  pages = {1629--1636},
  publisher = {{LWW}}
}

@article{resheffAcceleRaterWebApplication2014,
  title = {{{AcceleRater}} : A Web Application for Supervised Learning of Behavioral Modes from Acceleration Measurements},
  author = {Resheff, Yehezkel S and Rotics, Shay and Harel, Roi and Spiegel, Orr and Nathan, Ran},
  date = {2014},
  pages = {1--7},
  doi = {10.1186/s40462-014-0027-0},
  keywords = {accelerater,AcceleRater,animal behavior,Animal behavior,biologging,Biologging,Classificat,classification,ethology,movement ecology,supervised learning,tri-axial acceleration,web application},
  file = {/home/fbence/Zotero/storage/4BLR4FS9/Resheff et al. - 2014 - AcceleRater a web application for supervised learning of behavioral modes from acceleration measurements.pdf}
}

@misc{richardsonEmergence2001,
  title = {Emergence},
  editor = {Richardson, Kurt and Paul, Cilliers},
  date = {2001},
  volume = {3},
  number = {1}
}

@article{robertEvaluationThreedimensionalAccelerometers2009,
  title = {Evaluation of Three-Dimensional Accelerometers to Monitor and Classify Behavior Patterns in Cattle},
  author = {Robert, B. and White, B.J. and Renter, D.G. and Larson, R.L.},
  date = {2009-06},
  journaltitle = {Computers and Electronics in Agriculture},
  volume = {67},
  number = {1-2},
  pages = {80--84},
  publisher = {{Elsevier}},
  issn = {0168-1699},
  doi = {10.1016/J.COMPAG.2009.03.002},
  url = {https://www.sciencedirect.com/science/article/pii/S0168169909000490},
  abstract = {Cattle behavior is potentially a valuable indicator of health and well-being; however, natural movement patterns can be influenced by the presence of a human observer. A remote system could augment the ability of researchers, and eventually cattle producers, to monitor changes in cattle behavior. Constant video surveillance allows non-invasive behavior monitoring, but logging the movement patterns on individual animals over long periods of time is often cost prohibitive and labor intensive. Accelerometers record three-dimensional movement and could potentially be used to remotely monitor cattle behavior. These devices collect data based on pre-defined recording intervals, called epochs. Our objectives were to (1) determine if accelerometers can accurately document cattle behavior and (2) identify differences in classification accuracy among accelerometer epoch settings. Video-recorded observations and accelerometer data were collected from 15 crossbred beef calves and used to generate classification trees that predict behavior based on accelerometer data. Postural orientations were classified as lying or standing, while dynamic activities were classified as walking or a transition between activities. Video analysis was treated as the gold standard and logistic regression models were used to determine classification accuracy related to each activity and epoch setting. Classification of lying and standing activities by accelerometer illustrated excellent agreement with video (99.2\% and 98.0\% respectively); while walking classification accuracy was significantly (P\textbackslash textless0.01) lower (67.8\%). Classification agreement was higher in the 3s (98.1\%) and 5s (97.7\%) epochs compared to the 10s (85.4\%) epoch. Overall, we found the accelerometers provided an accurate, remote measure of cattle behavior over the trial period, but that classification accuracy was affected by the specific behavior monitored and the reporting interval (epoch).},
  file = {/home/fbence/Zotero/storage/AZG6KTGH/Robert et al. - 2009 - Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle.pdf}
}

@book{robertl.goldstoneSimComparison2009,
  title = {[{{Sim}}] {{Comparison}}},
  author = {Robert L. Goldstone, Sam Day and Son, Ji Y.},
  date = {2009},
  journaltitle = {Towards a theory of thinking},
  doi = {10.1007/978-3-642-03129-8},
  url = {http://link.springer.com/10.1007/978-3-642-03129-8},
  isbn = {978-3-642-03128-1},
  file = {/home/fbence/Zotero/storage/F4V2J595/Robert L. Goldstone - 2009 - Sim Comparison.pdf}
}

@article{ronenHIV1SuperinfectionOccurs2013,
  title = {{{HIV-1}} Superinfection Occurs Less Frequently than Initial Infection in a Cohort of High-Risk {{Kenyan}} Women},
  author = {Ronen, Keshet and McCoy, Connor O and Matsen, Frederick A and Boyd, David F and Emery, Sandra and Odem-Davis, Katherine and Jaoko, Walter and Mandaliya, Kishor and McClelland, R Scott and Richardson, Barbra A and {Others}},
  date = {2013},
  journaltitle = {PLoS Pathog},
  volume = {9},
  number = {8},
  pages = {e1003593},
  publisher = {{Public Library of Science}}
}

@article{roryGiveMachineHand2018,
  title = {Give the Machine a Hand : {{A Boolean}} Time- Based Decision-Tree Template for Rapidly Finding Animal Behaviours in Multisensor Data},
  author = {Rory, P and Mark, D and Emily, L C and Juan, E and Sun, Eun and Michael, D and Carlos, M and Rp, Wilson and Virgilio, A and Williams, H and Elc, Shepard},
  date = {2018},
  file = {/home/fbence/Zotero/storage/EK2MNJ84/Rory et al. - 2018 - Give the machine a hand A Boolean time- based decision-tree template for rapidly finding animal behaviours in mult.pdf}
}

@article{rosenthal-vonderputtenHowDesignCharacteristics2014,
  title = {How Design Characteristics of Robots Determine Evaluation and Uncanny Valley Related Responses},
  author = {Rosenthal-Von Der Pütten, Astrid M. and Krämer, Nicole C.},
  date = {2014-07},
  journaltitle = {Computers in Human Behavior},
  volume = {36},
  pages = {422--439},
  publisher = {{Elsevier Ltd}},
  issn = {07475632},
  doi = {10.1016/j.chb.2014.03.066},
  abstract = {Against the background of the uncanny valley hypothesis (Mori, 1970) and its conceptual shortcomings the present study aims at identifying design characteristics which determine the evaluation of robots. We conducted a web-based survey (N = 151) with standardized pictures of 40 robots which were evaluated. A cluster analysis revealed six clusters of robots. We were able to identify different groups of robots which were rated significantly different on six dimensions. Interestingly, in two clusters robots were rated both low in human-likeness and low in "mechanical" indicating that in future research these adjectives should be used separately. The robots in those clusters with a high mean concerning "Threatening" are almost all bi-pedal robots. In contrast to the humanoid robots (cluster 5), the android robots (clusters 3 and 4) were rated higher on "Familiarity", and on "Likability" although all three clusters (3, 4, and 5) were rated as "Threatening" which contrasts the uncanny valley hypothesis. Moreover, the data in the present study could not be explained by a cubic function as would be suggested by the graph proposed by Mori, but rather by linear or quadratic relationships. © 2014 Elsevier B.V. All rights reserved.},
  keywords = {Android,Design characteristics,Human-robot interaction,Robot,Uncanny valley}
}

@article{rosenthal-vonderputtenNeuralMechanismsAccepting2019,
  title = {Neural {{Mechanisms}} for {{Accepting}} and {{Rejecting Artificial Social Partners}} in the {{Uncanny Valley}}},
  author = {Rosenthal-von der Pütten, Astrid M. and Krämer, Nicole C. and Maderwald, Stefan and Brand, Matthias and Grabenhorst, Fabian},
  date = {2019-08},
  journaltitle = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
  volume = {39},
  number = {33},
  eprint = {31263064},
  eprinttype = {pmid},
  pages = {6555--6570},
  publisher = {{NLM (Medline)}},
  issn = {15292401},
  doi = {10.1523/JNEUROSCI.2956-18.2019},
  url = {https://doi.org/10.1523/JNEUROSCI.2956-18.2019},
  abstract = {Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms underlying human responses to these new, artificial social partners remain unclear. The uncanny valley (UV) hypothesis predicts that humans prefer anthropomorphic agents but reject them if they become too humanlike-the so-called UV reaction. Using fMRI, we investigated neural activity when subjects evaluated artificial agents and made decisions about them. Across two experimental tasks, the ventromedial prefrontal cortex (VMPFC) encoded an explicit representation of subjects' UV reactions. Specifically, VMPFC signaled the subjective likability of artificial agents as a nonlinear function of humanlikeness, with selective low likability for highly humanlike agents. In exploratory across-subject analyses, these effects explained individual differences in psychophysical evaluations and preference choices. Functionally connected areas encoded critical inputs for these signals: the temporoparietal junction encoded a linear humanlikeness continuum, whereas nonlinear representations of humanlikeness in dorsomedial prefrontal cortex (DMPFC) and fusiform gyrus emphasized a human-nonhuman distinction. Following principles of multisensory integration, multiplicative combination of these signals reconstructed VMPFC's valuation function. During decision making, separate signals in VMPFC and DMPFC encoded subjects' decision variable for choices involving humans or artificial agents, respectively. A distinct amygdala signal predicted rejection of artificial agents. Our data suggest that human reactions toward artificial agents are governed by a neural mechanism that generates a selective, nonlinear valuation in response to a specific feature combination (humanlikeness in nonhuman agents). Thus, a basic principle known from sensory coding-neural feature selectivity from linear-nonlinear transformation-may also underlie human responses to artificial social partners.SIGNIFICANCE STATEMENT Would you trust a robot to make decisions for you? Autonomous artificial agents are increasingly entering our lives, but how the human brain responds to these new artificial social partners remains unclear. The uncanny valley (UV) hypothesis-an influential psychological framework-captures the observation that human responses to artificial agents are nonlinear: we like increasingly anthropomorphic artificial agents, but feel uncomfortable if they become too humanlike. Here we investigated neural activity when humans evaluated artificial agents and made personal decisions about them. Our findings suggest a novel neurobiological conceptualization of human responses toward artificial agents: the UV reaction-a selective dislike of highly humanlike agents-is based on nonlinear value-coding in ventromedial prefrontal cortex, a key component of the brain's reward system.},
  keywords = {emotion,mentalizing,prefrontal cortex,reward,social}
}

@article{rosenthal-vonderputtenUncannyValleyPhenomenon2015,
  title = {The Uncanny Valley Phenomenon},
  author = {Rosenthal-von der Pütten, Astrid and Weiss, Astrid},
  date = {2015-11},
  journaltitle = {Interaction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies},
  volume = {16},
  number = {2},
  pages = {206--214},
  publisher = {{John Benjamins Publishing Company}},
  issn = {1572-0373},
  doi = {10.1075/is.16.2.07ros},
  abstract = {context, implicit reactions 12 13 Abstract 14 While the uncanny valley is definitely one of the most prominent theoretical 15 assumptions in Human-Robot Interaction research, an inconsiderate appraisal of it will 16 not benefit the research field and foster continuous exaggerations of its impact on robot 17 acceptance. Thus, while we largely agree MacDorman \& Entezari (2014) and 18 acknowledge the importance of their work, we find it necessary to write a commentary 19 reflecting on the need to see the uncanny valley phenomenon in a broader perspective 20 that goes beyond purely judging a robot by its cover. To explain our concerns that a 21 holistic view of the phenomenon is needed we consider three relevant aspects: 22 personality traits and pre-experiences, robot behaviour and task context, and reflective 23 vs. implicit reactions and how these may affect uncanny valley judgements. 24 25}
}

@article{sakamotoCanEthogramsBe2009,
  title = {Can {{Ethograms Be Automatically Generated Using Body Acceleration Data}} from {{Free-Ranging Birds}}?},
  author = {Sakamoto, Kentaro Q. and Sato, Katsufumi and Ishizuka, Mayumi and Watanuki, Yutaka and Takahashi, Akinori and Daunt, Francis and Wanless, Sarah},
  editor = {Hausberger, Martine},
  date = {2009-04},
  journaltitle = {PLoS ONE},
  volume = {4},
  number = {4},
  pages = {e5379},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0005379},
  url = {http://dx.plos.org/10.1371/journal.pone.0005379 www.plosone.org},
  abstract = {An ethogram is a catalogue of discrete behaviors typically employed by a species. Traditionally animal behavior has been recorded by observing study individuals directly. However, this approach is difficult, often impossible, in the case of behaviors which occur in remote areas and/or at great depth or altitude. The recent development of increasingly sophisticated, animal-borne data loggers, has started to overcome this problem. Accelerometers are particularly useful in this respect because they can record the dynamic motion of a body in e.g. flight, walking, or swimming. However, classifying behavior using body acceleration characteristics typically requires prior knowledge of the behavior of free-ranging animals. Here, we demonstrate an automated procedure to categorize behavior from body acceleration, together with the release of a user-friendly computer application, “Ethographer”. We evaluated its performance using longitudinal acceleration data collected from a foot-propelled diving seabird, the European shag, Phalacrocorax aristotelis. The time series data were converted into a spectrum by continuous wavelet transformation. Then, each second of the spectrum was categorized into one of 20 behavior groups by unsupervised cluster analysis, using k-means methods. The typical behaviors extracted were characterized by the periodicities of body acceleration. Each categorized behavior was assumed to correspond to when the bird was on land, in flight, on the sea surface, diving and so on. The behaviors classified by the procedures accorded well with those independently defined from depth profiles. Because our approach is performed by unsupervised computation of the data, it has the potential to detect previously unknown types of behavior and unknown sequences of some behaviors.},
  file = {/home/fbence/Zotero/storage/NPZBWLQY/Sakamoto et al. - 2009 - Can Ethograms Be Automatically Generated Using Body Acceleration Data from Free-Ranging Birds.pdf}
}

@article{salmanHierarchicalReinforcementLearning2018,
  title = {Hierarchical {{Reinforcement Learning}} for {{Sequencing Behaviors}}},
  author = {Salman, Hadi and Grover, Jaskaran and Shankar, Tanmay},
  date = {2018},
  volume = {2733},
  pages = {2709--2733},
  doi = {10.1162/NECO},
  url = {http://arxiv.org/abs/1803.01446},
  abstract = {Recent literature in the robot learning community has focused on learning robot skills that abstract out lower-level details of robot control, such as Dynamic Movement Primitives (DMPs), the options framework in hierarchical RL, and subtask policies. To fully leverage the efficacy of these macro actions, it is necessary to then sequence these primitives to achieve a given task. Our objective is to jointly learn a set of robot skills and a sequence of these learnt skills to accomplish a given task. We consider the task of navigating a robot across various environments using visual input, maximizing the distance traveled through the environment while avoiding static obstacles. Traditional planning methods to solve this problem rely on hand-crafted state representations and heuristics for planning, and often fail to generalize. In contrast, deep neural networks have proved to be powerful function approximators, successfully modeling complex control policies. In addition, the ability of such networks to learn good representations of high-dimensional sensory inputs makes them a valuable tool when dealing with visual inputs. In this project, we explore the capability of deep neural networks to learn and sequence robot skills for navigation, directly using visual input.},
  issue = {June 2014},
  annotation = {\_eprint: 1803.01446},
  file = {/home/fbence/Zotero/storage/D9WZQA6V/Salman, Grover, Shankar - 2018 - Hierarchical Reinforcement Learning for Sequencing Behaviors.pdf}
}

@article{santosHIVGeneticDiversity2010,
  title = {{{HIV Genetic Diversity}} and {{Drug Resistance}}},
  author = {Santos, André F. and Soares, Marcelo A.},
  date = {2010-02},
  journaltitle = {Viruses},
  volume = {2},
  number = {2},
  pages = {503--531},
  publisher = {{Molecular Diversity Preservation International}},
  issn = {1999-4915},
  doi = {10.3390/v2020503},
  url = {http://www.mdpi.com/1999-4915/2/2/503/},
  abstract = {Most of the current knowledge on antiretroviral (ARV) drug development and resistance is based on the study of subtype B of HIV-1, which only accounts for 10\% of the worldwide HIV infections. Cumulative evidence has emerged that different HIV types, groups and subtypes harbor distinct biological properties, including the response and susceptibility to ARV. Recent laboratory and clinical data highlighting such disparities are summarized in this review. Variations in drug susceptibility, in the emergence and selection of specific drug resistance mutations, in viral replicative capacity and in the dynamics of resistance acquisition under ARV selective pressure are discussed. Clinical responses to ARV therapy and associated confounding factors are also analyzed in the context of infections by distinct HIV genetic variants.},
  keywords = {1,clinical response,drug resistance,genetic diversity,HIV,subtypes}
}

@article{saundersonHowRobotsInfluence2019,
  title = {How {{Robots Influence Humans}}: {{A Survey}} of {{Nonverbal Communication}} in {{Social Human}}–{{Robot Interaction}}},
  author = {Saunderson, Shane and Nejat, Goldie},
  date = {2019-01},
  journaltitle = {International Journal of Social Robotics},
  pages = {1--34},
  publisher = {{Springer Netherlands}},
  issn = {1875-4791},
  doi = {10.1007/s12369-019-00523-0},
  url = {http://link.springer.com/10.1007/s12369-019-00523-0},
  file = {/home/fbence/Zotero/storage/ZM37R5BU/Saunderson, Nejat - 2019 - How Robots Influence Humans A Survey of Nonverbal Communication in Social Human–Robot Interaction.pdf}
}

@article{schmidSpecificityPolymorphismMHC2008,
  title = {The Specificity and Polymorphism of the {{MHC}} Class {{I}} Prevents the Global Adaptation of {{HIV-1}} to the Monomorphic Proteasome and {{TAP}}},
  author = {Schmid, Boris and Ke\$\textbackslash backslash\$csmir, Can and de Boer, Rob J},
  options = {useprefix=true},
  date = {2008},
  journaltitle = {PLoS One},
  volume = {3},
  number = {10},
  pages = {e3525},
  publisher = {{Public Library of Science}}
}

@article{schmidtBehaviourChangeCompetitive2008,
  title = {Behaviour Change and Competitive Exclusion Can Explain the Diverging {{HIV-1}} and {{HIV-2}} Prevalence Trends in {{Guinea}}–{{Bissau}}},
  author = {Schmidt, Wolf-Peter and Van Der Loeff, M Schim and Aaby, P and Whittle, H and Bakker, Roel and Buckner, M and Dias, F and White, R G},
  date = {2008},
  journaltitle = {Epidemiology and infection},
  volume = {136},
  number = {04},
  pages = {551--561},
  publisher = {{Cambridge Univ Press}}
}

@inproceedings{severinson-eklundhSocialCollaborativeAspects2003,
  title = {Social and Collaborative Aspects of Interaction with a Service Robot},
  booktitle = {Robotics and {{Autonomous Systems}}},
  author = {Severinson-Eklundh, Kerstin and Green, Anders and Hüttenrauch, Helge},
  date = {2003-03},
  volume = {42},
  number = {3-4},
  pages = {223--234},
  publisher = {{North-Holland}},
  issn = {09218890},
  doi = {10.1016/S0921-8890(02)00377-9},
  abstract = {To an increasing extent, robots are being designed to become a part of the lives of ordinary people. This calls for new models of the interaction between humans and robots, taking advantage of human social and communicative skills. Furthermore, human-robot relationships must be understood in the context of use of robots, and based on empirical studies of humans and robots in real settings. This paper discusses social aspects of interaction with a service robot, departing from our experiences of designing a fetch-and-carry robot for motion-impaired users in an office environment. We present the motivations behind the design of the Cero robot, especially its communication paradigm. Finally, we discuss experiences from a recent usage study, and research issues emerging from this work. A conclusion is that addressing only the primary user in service robotics is unsatisfactory, and that the focus should be on the setting, activities and social interactions of the group of people where the robot is to be used. © 2003 Elsevier Science B.V. All rights reserved.},
  keywords = {Human-robot interaction,Service robots,Social robots,Speech interfaces}
}

@article{seymourHaveWeCrossed2021,
  title = {Have {{We Crossed}} the {{Uncanny Valley}}? {{Understanding Affinity}}, {{Trustworthiness}}, and {{Preference}} for {{Realistic Digital Humans}} in {{Immersive Environments}}},
  author = {Seymour, Mike and Yuan, Lingyao and Dennis, Alan R and Riemer, Kai},
  date = {2021-01},
  journaltitle = {Journal of the Association for Information Systems},
  volume = {22},
  number = {3},
  pages = {591--617},
  issn = {1536-9323},
  doi = {10.17705/1jais.00674},
  url = {https://aisel.aisnet.org/jais/vol22/iss3/9},
  abstract = {Developers have long strived to create virtual avatars that are more realistic because they are believed to be preferred over less realistic avatars. However, an "uncanny valley" exists in which avatars trigger aversion when they are almost but not quite realistic. We used a field study to investigate whether users had different affinity, trustworthiness, and preferences for avatars with two levels of realism, one that was close to human-realistic and one a cartoon caricature. We observed behavior, conducted one-on-one interviews, and collected survey data from SIGGRAPH conference attendees who either participated in a live discussion session between two avatars in a VR environment, or observed it via 3D VR headsets or on a large screen 2D video display. Eighteen sessions were conducted over four days, with the same person animating the human-realistic avatar and different guests animating the caricature avatars. The guests who interacted with the human-realistic avatar had a positive experience in the VR environment. The observers had positive evaluations of both avatars while acknowledging their different levels of realism. They rated the human-realistic avatar as more trustworthy, had more affinity for it, and preferred it as a virtual agent. Participants who observed the interview through VR headsets had an even stronger affinity for the human-realistic avatar and stronger preferences for it than those who observed via the 2D screen. Effect sizes ranged from medium to large. Our results suggest that it is now possible to cross the uncanny valley with human-realistic avatars rendered in real time.},
  keywords = {Affinity,Intelligent Virtual Agent,Trustworthiness,Uncanny Valley,Virtual Reality},
  file = {/home/fbence/Zotero/storage/3MSCETD2/Seymour et al. - 2021 - Have We Crossed the Uncanny Valley Understanding Affinity, Trustworthiness, and Preference for Realistic Digital.pdf}
}

@article{shamoun-baranesSensorDataAnimal2012,
  title = {From {{Sensor Data}} to {{Animal Behaviour}}: {{An Oystercatcher Example}}},
  author = {Shamoun-Baranes, Judy and Bom, Roeland and van Loon, E. Emiel and Ens, Bruno J. and Oosterbeek, Kees and Bouten, Willem},
  editor = {de Polavieja, Gonzalo G.},
  options = {useprefix=true},
  date = {2012-05},
  journaltitle = {PLoS ONE},
  volume = {7},
  number = {5},
  pages = {e37997},
  publisher = {{Public Library of Science}},
  issn = {1932-6203},
  doi = {10.1371/journal.pone.0037997},
  url = {http://dx.plos.org/10.1371/journal.pone.0037997},
  abstract = {Animal-borne sensors enable researchers to remotely track animals, their physiological state and body movements. Accelerometers, for example, have been used in several studies to measure body movement, posture, and energy expenditure, although predominantly in marine animals. In many studies, behaviour is often inferred from expert interpretation of sensor data and not validated with direct observations of the animal. The aim of this study was to derive models that could be used to classify oystercatcher (Haematopus ostralegus) behaviour based on sensor data. We measured the location, speed, and tri-axial acceleration of three oystercatchers using a flexible GPS tracking system and conducted simultaneous visual observations of the behaviour of these birds in their natural environment. We then used these data to develop three supervised classification trees of behaviour and finally applied one of the models to calculate time-activity budgets. The model based on accelerometer data developed to classify three behaviours (fly, terrestrial locomotion, and no movement) was much more accurate (cross-validation error = 0.14) than the model based on GPS-speed alone (cross-validation error = 0.35). The most parsimonious acceleration model designed to classify eight behaviours could distinguish five: fly, forage, body care, stand, and sit (cross-validation error = 0.28); other behaviours that were observed, such as aggression or handling of prey, could not be distinguished. Model limitations and potential improvements are discussed. The workflow design presented in this study can facilitate model development, be adapted to a wide range of species, and together with the appropriate measurements, can foster the study of behaviour and habitat use of free living animals throughout their annual routine.},
  file = {/home/fbence/Zotero/storage/NI3BIUCF/Shamoun-Baranes et al. - 2012 - From Sensor Data to Animal Behaviour An Oystercatcher Example.pdf}
}

@article{sharkeyCryingShameRobot2010,
  title = {The Crying Shame of Robot Nannies: {{An}} Ethical Appraisal},
  author = {Sharkey, Noel and Sharkey, Amanda},
  date = {2010-01},
  journaltitle = {Interaction Studies},
  volume = {11},
  number = {2},
  pages = {161--190},
  publisher = {{John Benjamins}},
  issn = {1572-0373},
  doi = {10.1075/is.11.2.01sha},
  url = {http://www.jbe-platform.com/content/journals/10.1075/is.11.2.01sha},
  abstract = {\textbackslash textlessp\textbackslash textgreaterChildcare robots are being manufactured and developed with the long term aim of creating surrogate carers. While total childcare is not yet being promoted, there are indications that it is ‘on the cards'. We examine recent research and developments in childcare robots and speculate on progress over the coming years by extrapolating from other ongoing robotics work. Our main aim is to raise ethical questions about the part or full-time replacement of primary carers. The questions are about human rights, privacy, robot use of restraint, deception of children and accountability. But the most pressing ethical issues throughout the paper concern the consequences for the psychological and emotional wellbeing of children. We set these in the context of the child development literature on the pathology and causes of attachment disorders. We then consider the adequacy of current legislation and international ethical guidelines on the protection of children from the overuse of robot care.\textbackslash textless/p\textbackslash textgreater}
}

@article{shepardIdentificationAnimalMovement2008,
  title = {Identification of Animal Movement Patterns Using Tri-Axial Accelerometry},
  author = {Shepard, ELC and Wilson, RP and Quintana, F and Gómez Laich, A and Liebsch, N and Albareda, DA and Halsey, LG and Gleiss, A and Morgan, DT and Myers, AE and Newman, C and McDonald, DW},
  date = {2008-03},
  journaltitle = {Endangered Species Research},
  volume = {10},
  pages = {47--60},
  issn = {1863-5407},
  doi = {10.3354/esr00084},
  url = {http://www.int-res.com/abstracts/esr/v10/p47-60/},
  keywords = {Acceleration,Archival tag,Biotelemetry,Energy expenditure,Satellite tracking,Stroke frequency,Time budget},
  file = {/home/fbence/Zotero/storage/HNXEREJU/Shepard et al. - 2008 - Identification of animal movement patterns using tri-axial accelerometry.pdf}
}

@article{shirreffTransmissionSelectsHIV12011,
  title = {Transmission Selects for {{HIV-1}} Strains of Intermediate Virulence: A Modelling Approach},
  author = {Shirreff, George and Pellis, Lorenzo and Laeyendecker, Oliver and Fraser, Christophe},
  date = {2011},
  journaltitle = {PLoS Comput Biol},
  volume = {7},
  number = {10},
  pages = {e1002185},
  publisher = {{Public Library of Science}}
}

@misc{SistemasRecursos,
  title = {Sistemas {{Y Recursos}}},
  url = {https://www.scayle.es/solicitar_una_cuenta_de_usuario/sistemas-y-recursos/},
  urldate = {2020-01-04}
}

@article{soltisAccelerometersCollarsIdentify2012,
  title = {Accelerometers in Collars Identify Behavioral States in Captive {{African}} Elephants {{Loxodonta}} Africana},
  author = {Soltis, J and Wilson, RP and Douglas-Hamilton, I and Vollrath, F and King, LE and Savage, A},
  date = {2012-09},
  journaltitle = {Endangered Species Research},
  volume = {18},
  number = {3},
  pages = {255--263},
  issn = {1863-5407},
  doi = {10.3354/esr00452},
  url = {http://www.int-res.com/abstracts/esr/v18/n3/p255-263/},
  keywords = {Accelerometry,Behavior measurement,Elephant management},
  file = {/home/fbence/Zotero/storage/5PVZEGCI/Soltis et al. - 2012 - Accelerometers in collars identify behavioral states in captive African elephants Loxodonta africana.pdf}
}

@article{stevensonHIV1Pathogenesis2003,
  title = {\{\vphantom\}{{HIV}}\vphantom\{\}-1 Pathogenesis},
  author = {Stevenson, M},
  date = {2003},
  journaltitle = {Nature Medicine},
  volume = {9},
  number = {7},
  pages = {853--860}
}

@article{stilesPhysiologicalBehavioralEffects2011,
  title = {Physiological and Behavioral Effects of Dextroamphetamine on {{Beagle}} Dogs},
  author = {Stiles, Enid K. and Palestrini, Clara and Beauchamp, Guy and Frank, Diane},
  date = {2011},
  journaltitle = {Journal of Veterinary Behavior: Clinical Applications and Research},
  volume = {6},
  number = {6},
  pages = {328--336},
  publisher = {{Elsevier USA}},
  issn = {15587878},
  doi = {10.1016/j.jveb.2011.03.001},
  abstract = {The purpose of the study was to measure the effects of a dose of 0.2 mg/kg dextroamphetamine on body temperature, heart rate, motor activity, and associated behavior changes in Beagle dogs. Reliability of a collar-mounted accelerometer as an objective measure of motor activity was also investigated by comparing motor activity with that observed using video recordings. A total of 12 research colony Beagle dogs (13-20-months-old) served as their own control in this placebo-controlled crossover design, receiving both placebo and 0.2 mg/kg dextroamphetamine as treatment. Baseline and posttreatment values for body temperature, heart rate, and motor activity were obtained using a rectal temperature, heart rate monitor, and a collar-mounted accelerometer, respectively. Behavior sequences were filmed and analyzed. Repeated measures model indicated that dogs receiving a dose of 0.2 mg/kg dextroamphetamine had a significantly (P = 0.044) reduced heart rate as compared with placebo. There was no effect of treatment on the dogs' body temperature, motor activity, or other behaviors such as " lip-licking," " panting," and " yawning." There was a significant linear and positive relationship between the gross motor activity as measured by observational video and the accelerometer counts (P \textbackslash textless 0.0001). Several behavioral textbooks used in clinical practice distinguish canine hyperactivity-hyperkinesis from overactivity by physiological and behavioral responses to amphetamines in a clinical setting. The authors of these textbooks suggest that true hyperactive-hyperkinetic dogs provided with oral amphetamines will paradoxically calm down, and have \textbackslash textgreater15\% reduction in heart rate. However, no data exist on the various effects of a low dose (0.2 mg/kg) of oral dextroamphetamine in dogs. The results of this study indicate that although as a group the medicated dogs showed a significantly lower heart rate than the placebo group, individual Beagle dogs showed variability in changes of heart rate. The use of the accelerometer in this study is a reliable tool for measuring motor activity in the dog. © 2011 Elsevier Inc.},
  keywords = {Accelerometer,Activity,Beagle,Dextroamphetamine,Hyperactivity,Hyperkinesis}
}

@article{stilesPhysiologicalBehavioralEffects2011a,
  title = {Physiological and Behavioral Effects of Dextroamphetamine on {{Beagle}} Dogs},
  author = {Stiles, Enid K. and Palestrini, Clara and Beauchamp, Guy and Frank, Diane},
  date = {2011-11},
  journaltitle = {Journal of Veterinary Behavior},
  volume = {6},
  number = {6},
  pages = {328--336},
  publisher = {{Elsevier}},
  issn = {1558-7878},
  doi = {10.1016/J.JVEB.2011.03.001},
  url = {https://www.sciencedirect.com/science/article/abs/pii/S1558787811000384},
  abstract = {The purpose of the study was to measure the effects of a dose of 0.2 mg/kg dextroamphetamine on body temperature, heart rate, motor activity, and associated behavior changes in Beagle dogs. Reliability of a collar-mounted accelerometer as an objective measure of motor activity was also investigated by comparing motor activity with that observed using video recordings. A total of 12 research colony Beagle dogs (13-20-months-old) served as their own control in this placebo-controlled crossover design, receiving both placebo and 0.2 mg/kg dextroamphetamine as treatment. Baseline and posttreatment values for body temperature, heart rate, and motor activity were obtained using a rectal temperature, heart rate monitor, and a collar-mounted accelerometer, respectively. Behavior sequences were filmed and analyzed. Repeated measures model indicated that dogs receiving a dose of 0.2 mg/kg dextroamphetamine had a significantly (P = 0.044) reduced heart rate as compared with placebo. There was no effect of treatment on the dogs' body temperature, motor activity, or other behaviors such as “lip-licking,” “panting,” and “yawning.” There was a significant linear and positive relationship between the gross motor activity as measured by observational video and the accelerometer counts (P \textbackslash textless 0.0001). Several behavioral textbooks used in clinical practice distinguish canine hyperactivity–hyperkinesis from overactivity by physiological and behavioral responses to amphetamines in a clinical setting. The authors of these textbooks suggest that true hyperactive–hyperkinetic dogs provided with oral amphetamines will paradoxically calm down, and have \textbackslash textgreater15\% reduction in heart rate. However, no data exist on the various effects of a low dose (0.2 mg/kg) of oral dextroamphetamine in dogs. The results of this study indicate that although as a group the medicated dogs showed a significantly lower heart rate than the placebo group, individual Beagle dogs showed variability in changes of heart rate. The use of the accelerometer in this study is a reliable tool for measuring motor activity in the dog.}
}

@article{stilesPhysiologicalBehavioralEffects2011b,
  title = {Physiological and Behavioral Effects of Dextroamphetamine on {{Beagle}} Dogs},
  author = {Stiles, Enid K. and Palestrini, Clara and Beauchamp, Guy and Frank, Diane},
  date = {2011},
  journaltitle = {Journal of Veterinary Behavior: Clinical Applications and Research},
  volume = {6},
  number = {6},
  pages = {328--336},
  issn = {15587878},
  doi = {10.1016/j.jveb.2011.03.001},
  url = {https://www.sciencedirect.com/science/article/pii/S1558787811000384},
  abstract = {The purpose of the study was to measure the effects of a dose of 0.2 mg/kg dextroamphetamine on body temperature, heart rate, motor activity, and associated behavior changes in Beagle dogs. Reliability of a collar-mounted accelerometer as an objective measure of motor activity was also investigated by comparing motor activity with that observed using video recordings. A total of 12 research colony Beagle dogs (13-20-months-old) served as their own control in this placebo-controlled crossover design, receiving both placebo and 0.2 mg/kg dextroamphetamine as treatment. Baseline and posttreatment values for body temperature, heart rate, and motor activity were obtained using a rectal temperature, heart rate monitor, and a collar-mounted accelerometer, respectively. Behavior sequences were filmed and analyzed. Repeated measures model indicated that dogs receiving a dose of 0.2 mg/kg dextroamphetamine had a significantly (P = 0.044) reduced heart rate as compared with placebo. There was no effect of treatment on the dogs' body temperature, motor activity, or other behaviors such as “lip-licking,” “panting,” and “yawning.” There was a significant linear and positive relationship between the gross motor activity as measured by observational video and the accelerometer counts (P \textbackslash textless 0.0001). Several behavioral textbooks used in clinical practice distinguish canine hyperactivity–hyperkinesis from overactivity by physiological and behavioral responses to amphetamines in a clinical setting. The authors of these textbooks suggest that true hyperactive–hyperkinetic dogs provided with oral amphetamines will paradoxically calm down, and have \textbackslash textgreater15\% reduction in heart rate. However, no data exist on the various effects of a low dose (0.2 mg/kg) of oral dextroamphetamine in dogs. The results of this study indicate that although as a group the medicated dogs showed a significantly lower heart rate than the placebo group, individual Beagle dogs showed variability in changes of heart rate. The use of the accelerometer in this study is a reliable tool for measuring motor activity in the dog.}
}

@article{strombomCollectiveMotionLocal2011,
  title = {Collective Motion from Local Attraction},
  author = {Strombom, Daniel and Random, Author2 and Familyname, Givenname},
  date = {2011-08},
  journaltitle = {Journal of Theoretical Biology},
  volume = {283},
  number = {1},
  pages = {145--151},
  doi = {10.1016/j.jtbi.2011.05.019},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S002251931100261X},
  keywords = {nourl}
}

@article{strombomCollectiveMotionLocal2011a,
  title = {Collective Motion from Local Attraction},
  author = {Strömbom, Daniel},
  date = {2011-08},
  journaltitle = {Journal of Theoretical Biology},
  volume = {283},
  number = {1},
  pages = {145--151},
  doi = {10.1016/j.jtbi.2011.05.019},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S002251931100261X}
}

@article{studdBehavioralClassificationLow2019,
  title = {Behavioral Classification of Low ‐ Frequency Acceleration and Temperature Data from a Free ‐ Ranging Small Mammal},
  author = {Studd, Emily K and Landry, Manuelle and Allyson, Cuerrier and Stan, K Menzies and Lane, Jeffrey E and Humphries, Murray M and Mcadam, Andrew G},
  date = {2019},
  pages = {619--630},
  doi = {10.1002/ece3.4786},
  issue = {June 2018},
  file = {/home/fbence/Zotero/storage/6EEJCD84/Studd et al. - 2019 - Behavioral classification of low ‐ frequency acceleration and temperature data from a free ‐ ranging small mam.pdf}
}

@article{studdUseAccelerationAcoustics2019,
  title = {Use of {{Acceleration}} and {{Acoustics}} to {{Classify Behavior}}, {{Generate Time Budgets}}, and {{Evaluate Responses}} to {{Moonlight}} in {{Free-Ranging Snowshoe Hares}}},
  author = {Studd, Emily K. and Boudreau, Melanie R. and Majchrzak, Yasmine N. and Menzies, Allyson K. and Peers, Michael J. L. and Seguin, Jacob L. and Lavergne, Sophia G. and Boonstra, Rudy and Murray, Dennis L. and Boutin, Stan and Humphries, Murray M.},
  date = {2019},
  journaltitle = {Frontiers in Ecology and Evolution},
  volume = {7},
  doi = {10.3389/fevo.2019.00154},
  abstract = {Technological miniaturization is driving a biologging revolution that is producing detailed and sophisticated techniques of assessing individual behavioral responses to environmental conditions. Among the many advancements this revolution has brought is an ability to record behavioral responses of nocturnal, free-ranging species. Here, we combine captive validations of acceleration signatures with acoustic recordings from free-ranging individuals to classify behavior at two resolutions. Combining these classifications with ∼2 month-long recordings, we describe winter time budgets, and responses of free-ranging snowshoe hares to changing moonlight. We successfully classified snowshoe hare behavior into four categories (not moving, foraging, hopping, and sprinting) using low frequency accelerometry, with an overall model accuracy of 88\%, and acoustic recordings to three categories (silence, hopping, and chewing) with an accuracy of 94\%. Broad-scale accelerometer-classified categories were composed of multiple fine-scale behavioral states with the composition varying between individuals and across the day. Time budgets revealed that hares spent ∼50\% of their time foraging and ∼50\% not moving, with most foraging and feeding occurring at night. We found that hares adjusted timing of activity in response to moon phase, with a 6\% reduction in foraging and 30\% reduction in travelling during the night when the moon was full. Hares compensated for this lost foraging time by extending foraging into the morning hours of the following day. Using two biologging technologies to identify behavior, we demonstrate the possibility of combining multiple devices when documenting behavior of cryptic species.},
  issue = {May},
  keywords = {accelerometer,biologging,boreal forest,environm},
  file = {/home/fbence/Zotero/storage/K4S3MTMF/Studd et al. - 2019 - Use of Acceleration and Acoustics to Classify Behavior, Generate Time Budgets, and Evaluate Responses to Moonlight.pdf}
}

@book{SupportingEntrepreneurshipInnovation2017,
  title = {Supporting {{Entrepreneurship}} and {{Innovation}} in {{Higher Education}} in {{Hungary}}},
  date = {2017-11},
  series = {{{OECD Skills Studies}}},
  publisher = {{OECD}},
  doi = {10.1787/9789264273344-en},
  url = {https://www.oecd-ilibrary.org/industry-and-services/supporting-entrepreneurship-and-innovation-in-higher-education-in-hungary\{\\_\}9789264273344-en},
  isbn = {978-92-64-27329-0}
}

@article{surImprovedSupervisedClassification2017,
  title = {Improved Supervised Classification of Accelerometry Data to Distinguish Behaviors of Soaring Birds},
  author = {Sur, Maitreyi and Suffredini, Tony and Wessells, Stephen M. and Bloom, Peter H. and Lanzone, Michael and Blackshire, Sheldon and Sridhar, Srisarguru and Katzner, Todd},
  date = {2017},
  journaltitle = {PLoS ONE},
  volume = {12},
  number = {4},
  pages = {1--19},
  issn = {19326203},
  doi = {10.1371/journal.pone.0174785},
  abstract = {Soaring birds can balance the energetic costs of movement by switching between flapping, soaring and gliding flight. Accelerometers can allow quantification of flight behavior and thus a context to interpret these energetic costs. However, models to interpret accelerometry data are still being developed, rarely trained with supervised datasets, and difficult to apply. We collected accelerometry data at 140Hz from a trained golden eagle (Aquila chrysaetos) whose flight we recorded with video that we used to characterize behavior. We applied two forms of supervised classifications, random forest (RF) models and K-nearest neighbor (KNN) models. The KNN model was substantially easier to implement than the RF approach but both were highly accurate in classifying basic behaviors such as flapping (85.5\% and 83.6\% accurate, respectively), soaring (92.8\% and 87.6\%) and sitting (84.1\% and 88.9\%) with overall accuracies of 86.6\% and 92.3\% respectively. More detailed classification schemes, with specific behaviors such as banking and straight flights were well classified only by the KNN model (91.24\% accurate; RF = 61.64\% accurate). The RF model maintained its accuracy of classifying basic behavior classification accuracy of basic behaviors at sampling frequencies as low as 10Hz, the KNN at sampling frequencies as low as 20Hz. Classification of accelerometer data collected from free ranging birds demonstrated a strong dependence of predicted behavior on the type of classification model used. Our analyses demonstrate the consequence of different approaches to classification of accelerometry data, the potential to optimize classification algorithms with validated flight behaviors to improve classification accuracy, ideal sampling frequencies for different classification algorithms, and a number of ways to improve commonly used analytical techniques and best practices for classification of accelerometry data.},
  isbn = {1111111111},
  file = {/home/fbence/Zotero/storage/GCM5GTZB/Sur et al. - 2017 - Improved supervised classification of accelerometry data to distinguish behaviors of soaring birds.pdf}
}

@article{syrdalVideoPrototypingDoginspired2010,
  title = {Video Prototyping of Dog-Inspired Non-Verbal Affective Communication for an Appearance Constrained Robot},
  author = {Syrdal, Dag Sverre and Koay, Kheng Lee and Gácsi, Márta and Walters, Michael L. and Dautenhahn, Kerstin},
  date = {2010},
  journaltitle = {Proceedings - IEEE International Workshop on Robot and Human Interactive Communication},
  pages = {632--637},
  doi = {10.1109/ROMAN.2010.5598693},
  abstract = {This paper presents results from a video humanrobot interaction (VHRI) study in which participants viewed a video in which an appearance-constrained Pioneer robot used dog-inspired affective cues to communicate affinity and relationship with its owner and a guest using proxemics, body movement and orientation and camera orientation. The findings suggest that even with the limited modalities for nonverbal expression offered by a Pioneer robot, which does not have a dog-like appearance, these cues were effective for nonverbal affective communication. © 2010 IEEE.},
  isbn = {9781424479917},
  file = {/home/fbence/Zotero/storage/RWJUQE36/Syrdal et al. - 2010 - Video prototyping of dog-inspired non-verbal affective communication for an appearance constrained robot.pdf}
}

@inproceedings{szaboBuildingHumandogInteraction2012,
  title = {Building a Human-Dog Interaction Inspired Emotional Engine Model},
  booktitle = {{{IECON Proceedings}} ({{Industrial Electronics Conference}})},
  author = {Szabo, Csanad and Roka, Andras and Farago, Tamas and Gacsi, Marta and Miklosi, Adam and Korondi, Peter},
  date = {2012},
  pages = {5516--5522},
  doi = {10.1109/IECON.2012.6389513},
  abstract = {We propose a state space based engineering solution for the emotional engine model of an artificial agent. Our model takes its inspirations from the evolution theory and the latest achievements of human-dog interaction research. We present our emotional model together with its background, show our simulation results and present the ongoing work concerning the applications that we chose to be extended by our engineering solution. © 2012 IEEE.},
  isbn = {978-1-4673-2421-2}
}

@article{szaboBuildingHumandogInteraction2012a,
  title = {Building a Human-Dog Interaction Inspired Emotional Engine Model},
  author = {Szabo, Csanad and Roka, Andras and Farago, Tamas and Gacsi, Marta and Miklosi, Adam and Korondi, Peter},
  date = {2012},
  journaltitle = {IECON Proceedings (Industrial Electronics Conference)},
  pages = {5516--5522},
  doi = {10.1109/IECON.2012.6389513},
  abstract = {We propose a state space based engineering solution for the emotional engine model of an artificial agent. Our model takes its inspirations from the evolution theory and the latest achievements of human-dog interaction research. We present our emotional model together with its background, show our simulation results and present the ongoing work concerning the applications that we chose to be extended by our engineering solution. © 2012 IEEE.},
  isbn = {9781467324212},
  issue = {October},
  file = {/home/fbence/Zotero/storage/CSJY5AJ3/Szabo et al. - 2012 - Building a human-dog interaction inspired emotional engine model.pdf}
}

@article{szaboEmotionalEngineModel2010,
  title = {An Emotional Engine Model Inspired by Human-Dog Interaction},
  author = {Szabó, Csanád and Róka, András and Gácsi, Márta and Miklósi, Ádám and Baranyi, Péter and Korondi, Péter},
  date = {2010},
  journaltitle = {2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010},
  pages = {567--572},
  doi = {10.1109/ROBIO.2010.5723388},
  abstract = {We use an engineering approach based on state space modeling to develop the emotional engine of an artificial agent. The model is inspired by the latest achievements of human-dog interaction research. Our goal is to build a model that can be easily integrated into existing applications in the field of robotics, computing and communication systems. The proposed model ensures this integration by using simple arithmetics, while being scalable and stable. © 2010 IEEE.},
  isbn = {9781424493173}
}

@article{szilagyiNovelSolutionsBrain2017,
  title = {Novel Solutions in the Brain : A Model of {{Darwinian}} Neurodynamics [ Version 2 ; Referees : 3 Approved ] {{Referee Status}} :},
  author = {Szilágyi, András and Zachar, István and Fedor, Anna and Vladar, Harold P De and Szathmáry, Eörs},
  date = {2017},
  number = {0},
  pages = {1--26},
  doi = {10.12688/f1000research.9630.1},
  abstract = {The fact that surplus connections and neurons are pruned during Background development is well established. We complement this selectionist picture by a proof-of-principle model of evolutionary search in the brain, that accounts for new variations in theory space. We present a model for Darwinian evolutionary search for candidate solutions in the brain. : We combine known components of the brain – recurrent neural Methods networks (acting as attractors), the action selection loop and implicit working memory – to provide the appropriate Darwinian architecture. We employ a population of attractor networks with palimpsest memory. The action selection loop is employed with winners-share-all dynamics to select for candidate solutions that are transiently stored in implicit working memory. : We document two processes: selection of stored solutions and Results evolutionary search for novel solutions. During the replication of candidate solutions attractor networks occasionally produce recombinant patterns, increasing variation on which selection can act. Combinatorial search acts on multiplying units (activity patterns) with hereditary variation and novel variants appear due to (i) noisy recall of patterns from the attractor networks, (ii) noise during transmission of candidate solutions as messages between networks, and, (iii) spontaneously generated, untrained patterns in spurious attractors. : Attractor dynamics of recurrent neural networks can be used to Conclusions model Darwinian search. The proposed architecture can be used for fast search among stored solutions (by selection) and for evolutionary search when novel candidate solutions are generated in successive iterations. Since all the suggested components are present in advanced nervous systems, we hypothesize that the brain could implement a truly evolutionary combinatorial search system, capable of generating novel variants.}
}

@article{szivakReflectiveProblemsolvingLearning2018,
  title = {Reflective {{Problem-solving}} of {{Learning Teachers}}},
  author = {Szivák, Judit and Verderber, Éva and Vámos, Ágnes},
  date = {2018},
  journaltitle = {Hungarian Education Research Journal},
  volume = {8},
  number = {3},
  pages = {8--22}
}

@inproceedings{tanhaMulticlassSemisupervisedLearning2012,
  title = {Multiclass {{Semi-supervised Learning}} for {{Animal Behavior Recognition}} from {{Accelerometer Data}}},
  booktitle = {2012 {{IEEE}} 24th {{International Conference}} on {{Tools}} with {{Artificial Intelligence}}},
  author = {Tanha, J. and Someren, M. V. and de Bakker, M. and Bouteny, W. and Shamoun-Baranesy, J. and Afsarmanesh, H.},
  options = {useprefix=true},
  date = {2012-11},
  pages = {690--697},
  publisher = {{IEEE}},
  doi = {10.1109/ICTAI.2012.98},
  url = {http://ieeexplore.ieee.org/document/6495110/},
  isbn = {978-1-4799-0227-9},
  file = {/home/fbence/Zotero/storage/PIBKNK36/Tanha et al. - 2012 - Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data.pdf}
}

@book{tanIntroductionDataMining2005,
  title = {Introduction to {{Data Mining}}, ({{First Edition}})},
  author = {Tan, Pang-Ning and Steinbach, Michael and Kumar, Vipin},
  date = {2005},
  publisher = {{Addison-Wesley Longman Publishing Co., Inc.}},
  location = {{Boston, MA, USA}},
  isbn = {0-321-32136-7}
}

@book{tanIntroductionDataMining2005a,
  title = {Introduction to Data Mining},
  author = {Tan, Pang-Ning. and Steinbach, Michael. and Kumar, Vipin},
  date = {2005},
  publisher = {{Pearson Addison Wesley}},
  url = {https://www.google.com/search?q=Introduction+to+Data+Mining\{\\%\}2C+(First+Edition)\{\\&\}oq=Introduction+to+Data+Mining\{\\%\}2C+(First+Edition)\{\\&\}aqs=chrome..69i57j0l5.53356j0j7\{\\&\}sourceid=chrome\{\\&\}ie=UTF-8},
  abstract = {1st ed. 1. Introduction – 2. Data – 3. Exploring data – 4. Classification : basic concepts, decision trees, and model evaluation – 5. Classification : alternative techniques – 6. Association analysis : basic concepts and algorithms – 7. Association analysis : advanced concepts – 8. Cluster analysis : basic concepts and algorithms – 9. Cluster analysis : additional issues and algorithms – 10. Anomaly detection – App. A. Linear algebra – App. B. Dimensionality reduction – App. C. Probability and statistics – App. D. Regression – App. E. Optimization.},
  isbn = {978-0-321-32136-7},
  pagetotal = {769}
}

@article{tatlerHighAccuracyLow2018,
  title = {High Accuracy at Low Frequency: {{Detailed}} Behavioural Classification from Accelerometer Data},
  author = {Tatler, Jack and Cassey, Phillip and Prowse, Thomas A.A.},
  date = {2018-12},
  journaltitle = {Journal of Experimental Biology},
  volume = {221},
  number = {23},
  publisher = {{Company of Biologists Ltd}},
  issn = {00220949},
  doi = {10.1242/jeb.184085},
  abstract = {Accelerometers are a valuable tool for studying animal behaviour and physiology where direct observation is unfeasible. However, giving biological meaning to multivariate acceleration data is challenging. Here, we describe a method that reliably classifies a large number of behaviours using tri-axial accelerometer data collected at the low sampling frequency of 1 Hz, using the dingo (Canis dingo) as an example. We used out-of-sample validation to compare the predictive performance of four commonly used classification models (random forest, k-nearest neighbour, support vector machine, and naïve Bayes). We tested the importance of predictor variable selection and moving window size for the classification of each behaviour and overall model performance. Random forests produced the highest out-of-sample classification accuracy, with our best-performing model predicting 14 behaviours with a mean accuracy of 87\%. We also investigated the relationship between overall dynamic body acceleration (ODBA) and the activity level of each behaviour, given the increasing use of ODBA in ecophysiology as a proxy for energy expenditure. ODBA values for our four ‘high activity' behaviours were significantly greater than all other behaviours, with an overall positive trend between ODBA and intensity of movement. We show that a random forest model of relatively low complexity can mitigate some major challenges associated with establishing meaningful ecological conclusions from acceleration data. Our approach has broad applicability to free-ranging terrestrial quadrupeds of comparable size. Our use of a low sampling frequency shows potential for deploying accelerometers over extended time periods, enabling the capture of invaluable behavioural and physiological data across different ontogenies.},
  keywords = {Accelerometer,Animal behaviour,Classification model,ODBA,Random forest}
}

@article{tebitTrackingCenturyGlobal2011,
  title = {Tracking a Century of Global Expansion and Evolution of {{HIV}} to Drive Understanding and to Combat Disease},
  author = {Tebit, Denis M and Arts, Eric J},
  date = {2011},
  journaltitle = {The Lancet infectious diseases},
  volume = {11},
  number = {1},
  pages = {45--56},
  publisher = {{Elsevier}}
}

@article{templetonMultipleinfectionRecombinationHIV12009,
  title = {Multiple-Infection and Recombination in {{HIV-1}} within a Longitudinal Cohort of Women},
  author = {Templeton, Alan R and Kramer, Melissa G and Jarvis, Joseph and Kowalski, Jeanne and Gange, Stephen and Schneider, Michael F and Shao, Qiujia and Zhang, Guang Wen and Yeh, Mei-Fen and Tsai, Hua-Ling and {Others}},
  date = {2009},
  journaltitle = {Retrovirology},
  volume = {6},
  number = {1},
  pages = {1},
  publisher = {{BioMed Central}}
}

@article{thomasDevelopmentUseConcept1996,
  title = {The Development and Use of the Concept of a Sexually Transmitted Disease Core},
  author = {Thomas, James C and Tucker, Myra J},
  date = {1996},
  journaltitle = {Journal of Infectious Diseases},
  volume = {174},
  pages = {S134----S143},
  publisher = {{Oxford University Press}},
  issue = {Supplement 2}
}

@incollection{timperleyContinuingProfessionalDevelopment2015,
  title = {Continuing {{Professional Development}}},
  booktitle = {International {{Encyclopedia}} of the {{Social}} \& {{Behavioral Sciences}}: {{Second Edition}}},
  author = {Timperley, Helen S.},
  date = {2015-03},
  pages = {796--802},
  publisher = {{Elsevier Inc.}},
  issn = {0028-808X},
  doi = {10.1016/B978-0-08-097086-8.92134-2},
  abstract = {Challenges in education are rising with expectations from policy makers about what teachers can do to meet them constantly increasing. Continuing professional development for teachers has been promoted as the multimillion-dollar solution, but unfortunately most approaches have little demonstrated its impact on teachers' ability to meet these demands. This article draws on the international literature that does provide evidence of effectiveness in terms of having a positive impact on student learners. The article outlines some of the shifts in thinking that underpin the effective enactment of a systematic inquiry and knowledge-building approach to continuing professional learning together with evidence of improvement in students' engagement and learning.},
  isbn = {978-0-08-097087-5},
  keywords = {Adaptive expertise,Critiquing professional beliefs,Inquiry cycles,Knowledge-building cycles,Leadership for learning,Pedagogical leadership,Professional development,Professional inquiry,Professional knowledge,Professional learning,Professional learning policy,Professionalism,Self-regulated learning,Teacher effects,Teacher inquiry}
}

@book{TransferableSkillsTraining2012,
  title = {Transferable {{Skills Training}} for {{Researchers}}},
  date = {2012-12},
  publisher = {{OECD}},
  doi = {10.1787/9789264179721-en},
  url = {https://www.oecd-ilibrary.org/science-and-technology/transferable-skills-training-for-researchers\{\\_\}9789264179721-en},
  isbn = {978-92-64-17971-4}
}

@article{tsuiHumanImmunodeficiencyVirus2004,
  title = {Human Immunodeficiency Virus Type 1 Superinfection Was Not Detected Following 215 Years of Injection Drug User Exposure},
  author = {Tsui, Rose and Herring, Belinda L and Barbour, Jason D and Grant, Robert M and Bacchetti, Peter and Kral, Alex and Edlin, Brian R and Delwart, Eric L},
  date = {2004},
  journaltitle = {Journal of virology},
  volume = {78},
  number = {1},
  pages = {94--103},
  publisher = {{Am Soc Microbiol}}
}

@article{uchiyamaCulturalEvolutionGenetic2021,
  title = {Cultural {{Evolution}} of {{Genetic Heritability}}},
  author = {Uchiyama, Ryutaro and Spicer, Rachel and Muthukrishna, Michael},
  date = {2021},
  journaltitle = {Behavioral and Brain Sciences},
  pages = {1--147},
  publisher = {{Cambridge University Press}},
  issn = {0140-525X},
  doi = {10.1017/S0140525X21000893},
  url = {https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/cultural-evolution-of-genetic-heritability/9CBEB629203EA430B6EE5549C5E729FC},
  abstract = {Behavioral genetics and cultural evolution have both revolutionized our understanding of human behavior—largely independent of each other. Here we reconcile these two fields under a dual inheritance framework, offering a more nuanced understanding of the interaction between genes and culture. Going beyond typical analyses of gene–environment interactions, we describe the cultural dynamics that shape these interactions by shaping the environment and population structure. A cultural evolutionary approach can explain, for example, how factors such as rates of innovation and diffusion, density of cultural sub-groups, and tolerance for behavioral diversity impact heritability estimates, thus yielding predictions for different social contexts. Moreover, when cumulative culture functionally overlaps with genes, genetic effects become masked, unmasked, or even reversed, and the causal effects of an identified gene become confounded with features of the cultural environment. The manner of confounding is specific to a particular society at a particular time, but a WEIRD (Western, educated, industrialized, rich, democratic) sampling problem obscures this boundedness. Cultural evolutionary dynamics are typically missing from models of gene-to-phenotype causality, hindering generalizability of genetic effects across societies and across time. We lay out a reconciled framework and use it to predict the ways in which heritability should differ between societies, between socioeconomic levels and other groupings within some societies but not others, and over the life course. An integrated cultural evolutionary behavioral genetic approach cuts through the nature–nurture debate and helps resolve controversies in topics such as IQ.}
}

@article{uchiyamaCulturalEvolutionGenetic2021a,
  title = {Cultural {{Evolution}} of {{Genetic Heritability}}},
  author = {Uchiyama, Ryutaro and Spicer, Rachel and Muthukrishna, Michael},
  date = {2021},
  journaltitle = {Behavioral and Brain Sciences},
  pages = {1--147},
  publisher = {{Cambridge University Press}},
  issn = {0140-525X},
  doi = {10.1017/S0140525X21000893},
  url = {https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/cultural-evolution-of-genetic-heritability/9CBEB629203EA430B6EE5549C5E729FC},
  abstract = {Behavioral genetics and cultural evolution have both revolutionized our understanding of human behavior—largely independent of each other. Here we reconcile these two fields under a dual inheritance framework, offering a more nuanced understanding of the interaction between genes and culture. Going beyond typical analyses of gene–environment interactions, we describe the cultural dynamics that shape these interactions by shaping the environment and population structure. A cultural evolutionary approach can explain, for example, how factors such as rates of innovation and diffusion, density of cultural sub-groups, and tolerance for behavioral diversity impact heritability estimates, thus yielding predictions for different social contexts. Moreover, when cumulative culture functionally overlaps with genes, genetic effects become masked, unmasked, or even reversed, and the causal effects of an identified gene become confounded with features of the cultural environment. The manner of confounding is specific to a particular society at a particular time, but a WEIRD (Western, educated, industrialized, rich, democratic) sampling problem obscures this boundedness. Cultural evolutionary dynamics are typically missing from models of gene-to-phenotype causality, hindering generalizability of genetic effects across societies and across time. We lay out a reconciled framework and use it to predict the ways in which heritability should differ between societies, between socioeconomic levels and other groupings within some societies but not others, and over the life course. An integrated cultural evolutionary behavioral genetic approach cuts through the nature–nurture debate and helps resolve controversies in topics such as IQ.}
}

@article{uenoAutomaticallyDetectingTracking2019,
  title = {Automatically Detecting and Tracking Free‐ranging {{Japanese}} Macaques in Video Recordings with Deep Learning and Particle Filters},
  author = {Ueno, Masataka and Hayashi, Hidetaka and Kabata, Ryosuke and Terada, Kazunori and Yamada, Kazunori},
  editor = {Rutz, C.},
  date = {2019-03},
  journaltitle = {Ethology},
  pages = {eth.12851},
  publisher = {{John Wiley \& Sons, Ltd (10.1111)}},
  issn = {0179-1613},
  doi = {10.1111/eth.12851},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/eth.12851},
  keywords = {deep learning,Japanese macaques,particle filter,tracking}
}

@misc{undpCapacityAssessmentDevelopment1998,
  title = {Capacity Assessment and Development :},
  author = {{UNDP}},
  date = {1998},
  publisher = {{UNDP,}}
}

@article{undpCapacityDevelopmentPRACTICE2008,
  title = {Capacity {{Development}}; {{PRACTICE NOTE}}},
  author = {{UNDP}},
  date = {2008}
}

@misc{vallettaApplicationsMachineLearning2017,
  title = {Applications of Machine Learning in Animal Behaviour Studies},
  author = {Valletta, John Joseph and Torney, Colin and Kings, Michael and Thornton, Alex and Madden, Joah},
  date = {2017-02},
  journaltitle = {Animal Behaviour},
  volume = {124},
  pages = {203--220},
  publisher = {{Academic Press}},
  issn = {00033472},
  doi = {10.1016/j.anbehav.2016.12.005},
  abstract = {In many areas of animal behaviour research, improvements in our ability to collect large and detailed data sets are outstripping our ability to analyse them. These diverse, complex and often high-dimensional data sets exhibit nonlinear dependencies and unknown interactions across multiple variables, and may fail to conform to the assumptions of many classical statistical methods. The field of machine learning provides methodologies that are ideally suited to the task of extracting knowledge from these data. In this review, we aim to introduce animal behaviourists unfamiliar with machine learning (ML) to the promise of these techniques for the analysis of complex behavioural data. We start by describing the rationale behind ML and review a number of animal behaviour studies where ML has been successfully deployed. The ML framework is then introduced by presenting several unsupervised and supervised learning methods. Following this overview, we illustrate key ML approaches by developing data analytical pipelines for three different case studies that exemplify the types of behavioural and ecological questions ML can address. The first uses a large number of spectral and morphological characteristics that describe the appearance of pheasant, Phasianus colchicus, eggs to assign them to putative clutches. The second takes a continuous data stream of feeder visits from PIT (passive integrated transponder)-tagged jackdaws, Corvus monedula, and extracts foraging events from it, which permits the construction of social networks. Our final example uses aerial images to train a classifier that detects the presence of wildebeest, Connochaetes taurinus, to count individuals in a population. With the advent of cheaper sensing and tracking technologies an unprecedented amount of data on animal behaviour is becoming available. We believe that ML will play a central role in translating these data into scientific knowledge and become a useful addition to the animal behaviourist's analytical toolkit.},
  keywords = {animal behaviour data,classification,clustering,dimensionality reduction,machine learning,predictive modelling,random forests,social networks,supervised learning,unsupervised learning}
}

@article{vanharmelenAssociationHIV1Subtypes1997,
  title = {An Association between {{HIV-1}} Subtypes and Mode of Transmission in {{Cape Town}}, {{South Africa}}},
  author = {Van Harmelen, Joanne and Wood, Robin and Lambrick, Maureen and Rybicki, Edward P and Williamson, Anna-Lise and Williamson, Carolyn},
  date = {1997},
  journaltitle = {Aids},
  volume = {11},
  number = {1},
  pages = {81--87},
  publisher = {{LWW}}
}

@article{vanwalsumExploringRelationshipFlapping2020,
  title = {Exploring the Relationship between Flapping Behaviour and Accelerometer Signal during Ascending Flight, and a New Approach to Calibration},
  author = {VanWalsum, T. and Perna, A. and Collins, P. and Halsey, L. and Bishop, C. and Murn, C. and Wilson, R.},
  date = {2020},
  journaltitle = {Ibis},
  volume = {162},
  number = {1},
  publisher = {{Wiley-Blackwell}},
  issn = {00191019},
  doi = {10.1111/ibi.12710},
  abstract = {We understand little about the energetic costs of flight in free-ranging birds, in part because current techniques for estimating flight energetics in the wild are limited. Accelerometry is known to estimate energy expenditure through body movement in terrestrial animals, once calibrated using a treadmill with chamber respirometry. The flight equivalent, a wind tunnel with mask respirometry, is particularly difficult to instigate, and has not been applied to calibrate accelerometry. We take the first steps in exploring a novel method for calibrating accelerometers with flight energy expenditure. We collected accelerometry data for Harris's Hawks Parabuteo unicinctus flying to varying heights up to 4.1 m over a small horizontal distance; the mechanical energy expended to gain height can be estimated from physical first principles. The relationship between accelerometry and mechanical energy expenditure was strong, and while a simple wing flapping model confirmed that accelerometry is sensitive to both changes in wing beat amplitude and frequency, the relationship was explained predominately by changes in wing beat frequency, and less so by changes in amplitude. Our study provides initial, positive evidence that accelerometry can be calibrated with body power using climbing flights, potentially providing a basis for estimating flapping flight metabolic rate at least in situations of altitude gain.}
}

@article{vapnikUniformConvergenceRelative1971,
  title = {On the {{Uniform Convergence}} of {{Relative Frequencies}} of {{Events}} to {{Their Probabilities}}},
  author = {Vapnik, V. N. and Chervonenkis, A. Ya.},
  date = {1971-01},
  journaltitle = {Theory of Probability \& Its Applications},
  volume = {16},
  number = {2},
  pages = {264--280},
  publisher = {{Society for Industrial and Applied Mathematics}},
  issn = {0040-585X},
  doi = {10.1137/1116025},
  url = {http://epubs.siam.org/doi/10.1137/1116025}
}

@incollection{vapnikUniformConvergenceRelative2015,
  title = {On the {{Uniform Convergence}} of {{Relative Frequencies}} of {{Events}} to {{Their Probabilities}}},
  booktitle = {Measures of {{Complexity}}},
  author = {Vapnik, V. N. and Chervonenkis, A. Ya.},
  date = {2015},
  pages = {11--30},
  publisher = {{Springer International Publishing}},
  location = {{Cham}},
  doi = {10.1007/978-3-319-21852-6_3},
  url = {http://link.springer.com/10.1007/978-3-319-21852-6\{\\_\}3}
}

@incollection{vapnikUniformConvergenceRelative2015a,
  title = {On the {{Uniform Convergence}} of {{Relative Frequencies}} of {{Events}} to {{Their Probabilities}}},
  booktitle = {Measures of {{Complexity}}},
  author = {Vapnik, V. N. and Chervonenkis, A. Ya.},
  date = {2015},
  pages = {11--30},
  publisher = {{Springer International Publishing}},
  location = {{Cham}},
  doi = {10.1007/978-3-319-21852-6_3},
  url = {http://link.springer.com/10.1007/978-3-319-21852-6\{\\_\}3}
}

@article{vasanDifferentRatesDisease2006,
  title = {Different Rates of Disease Progression of {{HIV}} Type 1 Infection in {{Tanzania}} Based on Infecting Subtype},
  author = {Vasan, Ashwin and Renjifo, Boris and Hertzmark, Ellen and Chaplin, Beth and Msamanga, Gernard and Essex, Max and Fawzi, Wafaie and Hunter, David},
  date = {2006},
  journaltitle = {Clinical Infectious Diseases},
  volume = {42},
  number = {6},
  pages = {843--852},
  publisher = {{Oxford University Press}}
}

@inproceedings{vasarhelyiOutdoorFlockingFormation2014,
  title = {Outdoor Flocking and Formation Flight with Autonomous Aerial Robots},
  booktitle = {{{IEEE International Conference}} on {{Intelligent Robots}} and {{Systems}}},
  author = {Vásárhelyi, G. and Virágh, Cs and Somorjai, G. and Tarcai, N. and Szörényi, T. and Nepusz, T. and Vicsek, T.},
  date = {2014-09},
  pages = {3866--3873},
  publisher = {{IEEE}},
  issn = {21530866},
  doi = {10.1109/IROS.2014.6943105},
  url = {http://ieeexplore.ieee.org/document/6943105/},
  abstract = {—In this paper, a distributed robust feedback con- trol strategy with inter-vehicle collision avoidance is proposed for formation and reconfiguration control of a team of VTOL UAVs. A potential-field approach is used to generate a desired velocity for each UAV which ensures that the team of UAVs can perform formation and reconfiguration, avoid inter-vehicle collision as well as track a specified virtual leader. Each UAV is controlled to track its desired velocity subject to dynamic constraints. The proposed feedback control is robust against error disturbances due to dynamic constraints and measure- ment noise. A formation flight test of three quadrotor UAVs demonstrates the effectiveness and robustness of the proposed formation control strategy. I.},
  isbn = {978-1-4799-6934-0}
}

@article{veovodinSupercomputingEducationThird2010,
  title = {Supercomputing Education: The Third Pillar of {{HPC}}},
  author = {Veovodin, Vl V and Gergel, V P},
  date = {2010},
  journaltitle = {Supercomputing education: the third pillar of HPC},
  volume = {11},
  number = {4},
  pages = {117--122}
}

@article{vicsekComplexityBiggerPicture2002,
  title = {Complexity: {{The}} Bigger Picture},
  author = {Vicsek, Tamas},
  date = {2002-07},
  journaltitle = {Nature},
  volume = {418},
  number = {6894},
  pages = {131--131},
  publisher = {{Nature Publishing Group}},
  issn = {0028-0836},
  doi = {10.1038/418131a},
  url = {http://www.nature.com/doifinder/10.1038/418131a}
}

@article{vidalHIVTypePol2006,
  title = {{{HIV}} Type 1 Pol Gene Diversity and Antiretroviral Drug Resistance Mutations in the {{Democratic Republic}} of {{Congo}} ({{DRC}})},
  author = {Vidal, Nicole and Mulanga, Claire and Bazepeo, S Edidi and Mwamba, J Kasali and Tshimpaka, J and Kashi, M and Mama, N and Valea, D and Delaporte, Eric and Lepira, F and {Others}},
  date = {2006},
  journaltitle = {AIDS Research \& Human Retroviruses},
  volume = {22},
  number = {2},
  pages = {202--206},
  publisher = {{Mary Ann Liebert, Inc. 2 Madison Avenue Larchmont, NY 10538 USA}}
}

@article{vidalUnprecedentedDegreeHuman2000,
  title = {Unprecedented Degree of Human Immunodeficiency Virus Type 1 ({{HIV-1}}) Group {{M}} Genetic Diversity in the {{Democratic Republic}} of {{Congo}} Suggests That the {{HIV-1}} Pandemic Originated in {{Central Africa}}},
  author = {Vidal, Nicole and Peeters, Martine and Mulanga-Kabeya, Claire and Nzilambi, Nzila and Robertson, David and Ilunga, Wantabala and Sema, Hurogo and Tshimanga, Kazadi and Bongo, Beni and Delaporte, Eric},
  date = {2000},
  journaltitle = {Journal of virology},
  volume = {74},
  number = {22},
  pages = {10498--10507},
  publisher = {{Am Soc Microbiol}}
}

@article{vilarBiomechanicCharacteristicsGait2016,
  title = {Biomechanic Characteristics of Gait of Four Breeds of Dogs with Different Conformations at Walk on a Treadmill},
  author = {Vilar, Jose M. and Rubio, Mónica and Carrillo, Jose María and Domínguez, Alain M. and Mitat, Alina and Batista, Miguel},
  date = {2016-01},
  journaltitle = {Journal of Applied Animal Research},
  volume = {44},
  number = {1},
  pages = {252--257},
  publisher = {{Taylor and Francis Ltd.}},
  issn = {0971-2119},
  doi = {10.1080/09712119.2015.1031778},
  url = {http://www.tandfonline.com/doi/full/10.1080/09712119.2015.1031778},
  abstract = {Principle of dynamic similarity is frequently applied in biomechanic research as a tool to extrapolate data between animals from the same species, but, in dogs, different breeds entail different conformations. For that reason, comparison of dynamic parameters among dogs of different breeds should not be only based in weight and relative velocity. By means of the use of force platform and high-speed videography in 12 dogs corresponding with four breeds of different conformations, we showed how most of kinetic and kinematic variables are highly independent of weight or relative velocity and other factors as morphometric values and ratios are determinant.},
  keywords = {conformation,force platform,high-speed videography,treadmill},
  file = {/home/fbence/Zotero/storage/FFYZ6IU8/Vilar et al. - 2016 - Biomechanic characteristics of gait of four breeds of dogs with different conformations at walk on a treadmill.pdf}
}

@book{vilmosEtologia2002,
  title = {Etológia},
  author = {Vilmos, Csányi},
  date = {2002}
}

@book{vincent-lancrinMeasuringInnovationEducation2019,
  title = {Measuring {{Innovation}} in {{Education}} 2019: {{What Has Changed}} in the {{Classroom}}?},
  author = {Vincent-Lancrin, Stéphan and Urgel, Joaquin and Kar, Soumyajit and Jacotin, Gwénaël},
  date = {2019-03},
  series = {Educational {{Research}} and {{Innovation}}},
  publisher = {{OECD}},
  doi = {10.1787/9789264311671-en},
  url = {https://www.oecd-ilibrary.org/education/measuring-innovation-in-education-2019\{\\_\}9789264311671-en},
  isbn = {978-92-64-31166-4}
}

@article{vinczeEthologicallyInspiredHumanrobot2012,
  title = {Ethologically Inspired Human-Robot Interaction Interfaces},
  author = {Vincze, Dávid and Kovács, Szilveszter and Niitsuma, Mihoko and Hashimoto, Hideki and Korondi, Péter and Gácsi, Márta and Miklósi, Ádám},
  date = {2012},
  journaltitle = {ACM International Conference Proceeding Series},
  pages = {51--57},
  doi = {10.1145/2160749.2160761},
  abstract = {This paper presents human-robot interaction interfaces based on ethological studies. An ethological test procedure was modeled with the application of a fuzzy rule interpolation based fuzzy automaton. This fuzzy automaton was loaded with rules formed from the extracted ethological knowledge. Using the behaviours supplied by the fuzzy automaton as conclusions, different interfaces can be defined for the incarnation of the model. The ethological test procedure and its modeling technique based on the fuzzy automaton will be shortly introduced in the paper, and then the various human-robot interfaces based on the former will be presented. These include interfaces of simulated environments and also interfaces as real robot hardware with their supplemental devices (sensors, cameras, etc.). Copyright 2012 ACM.},
  isbn = {9781450311915},
  issue = {January},
  keywords = {Ethologically inspired robotics,Fuzzy automata,Human-robot interface},
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}

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  title = {Careers in {{Research Online Survey}} ({{CROS}}) 2009: Analysis of Aggregated {{UK}} Results},
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  title = {Prying into the Intimate Secrets of Animal Lives ; Software beyond Hardware for Comprehensive Annotation in ‘ {{Daily Diary}} ' Tags},
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  issn = {2051-3933},
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  url = {http://dx.doi.org/10.1186/s40462-015-0056-3},
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  keywords = {Movement ecology,time series analysis,Time series analysis,visual analytics,Visual analytics},
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@article{walterMovementRestingAttack2017,
  title = {Movement, Resting, and Attack Behaviors of Wild Pumas Are Revealed by Tri-Axial Accelerometer Measurements},
  author = {Walter, Brandon L and Armitage, Andrew E and Graham, Stephen C and de Oliveira, Tulio and Skinhøj, Peter and Jones, E Yvonne and Stuart, David I and McMichael, Andrew J and Chesebro, Bruce and Iversen, Astrid K N and Shirreff, George and Pellis, Lorenzo and Laeyendecker, Oliver and Fraser, Christophe and Tsui, Rose and Herring, Belinda L and Barbour, Jason D and Grant, Robert M and Bacchetti, Peter and Kral, Alex and Edlin, Brian R and Delwart, Eric L and Kalish, Marcia L and Robbins, Kenneth E and Pieniazek, Danuta and Schaefer, Amanda and Nzilambi, Nzila and Quinn, Thomas C and St Louis, Michael E and Youngpairoj, Ae S and Phillips, Jonathan and Jaffe, Harold W and {Others} and Kraft, Colleen S and Basu, Debby and Hawkins, Paulina A and Hraber, Peter T and Chomba, Elwyn and Mulenga, Joseph and Kilembe, William and Khu, Naw H and Derdeyn, Cynthia A and Allen, Susan A and {Others} and Vasan, Ashwin and Renjifo, Boris and Hertzmark, Ellen and Chaplin, Beth and Msamanga, Gernard and Essex, Max and Fawzi, Wafaie and Hunter, David and Kaul, Rupert and Plummer, Francis A and Kimani, Joshua and Dong, Tao and Kiama, Peter and Rostron, Timothy and Njagi, Ephantus and MacDonald, Kelly S and Bwayo, Job J and McMichael, Andrew J and {Others} and Kiwanuka, Noah and Laeyendecker, Oliver and Quinn, Thomas C and Wawer, Maria J and Shepherd, James and Robb, Merlin and Kigozi, Godfrey and Kagaayi, Joseph and Serwadda, David and Makumbi, Fredrick E and {Others} and Baeten, Jared M and Chohan, Bhavna and Lavreys, Ludo and Chohan, Vrasha and McClelland, R Scott and Certain, Laura and Mandaliya, Kishorchandra and Jaoko, Walter and Julie, Overbaugh and Templeton, Alan R and Kramer, Melissa G and Jarvis, Joseph and Kowalski, Jeanne and Gange, Stephen and Schneider, Michael F and Shao, Qiujia and Zhang, Guang Wen and Yeh, Mei-Fen and Tsai, Hua-Ling and {Others} and Promadej, Nattawan and Costello, Caroline and Wernett, Mary M and Kulkarni, Prasad S and Robison, Valerie A and Nelson, Kenrad E and Hodge, Thomas W and Suriyanon, Vinai and Duerr, Ann and McNicholl, Janet M and Vidal, Nicole and Peeters, Martine and Mulanga-Kabeya, Claire and Nzilambi, Nzila and Robertson, David and Ilunga, Wantabala and Sema, Hurogo and Tshimanga, Kazadi and Bongo, Beni and Delaporte, Eric and Conroy, Samantha A and Laeyendecker, Oliver and Redd, Andrew D and Collinson-Streng, Aleisha and Kong, Xiangrong and Makumbi, Fredrick E and Lutalo, Tom and Sewankambo, Nelson and Kiwanuka, Noah and Gray, Ronald H and {Others} and Hemelaar, Joris and Gouws, Eleanor and Ghys, Peter D and Osmanov, Saladin and {Others} and Korber, B and Muldoon, M and Theiler, J and Gao, F and Gupta, R and Lapedes, A and Hahn, B H and Wolinsky, S and Bhattacharya, T and {Downs AM} and De Vincenzi, I and Nicastri, Emanuele and Ercoli, Lucia and Sarmati, Loredana and D'Ettorre, Gabriella and Iudicone, Paola and Massetti, Paola and Vullo, Vincenzo and Andreoni, Massimo and Van Harmelen, Joanne and Wood, Robin and Lambrick, Maureen and Rybicki, Edward P and Williamson, Anna-Lise and Williamson, Carolyn and Gonzales, Matthew J and Delwart, Eric L and Rhee, Soo-Yon and Tsui, Rose and Zolopa, Andrew R and Taylor, Jonathan and Shafer, Robert W and Vidal, Nicole and Mulanga, Claire and Bazepeo, S Edidi and Mwamba, J Kasali and Tshimpaka, J and Kashi, M and Mama, N and Valea, D and Delaporte, Eric and Lepira, F and {Others} and Redd, Andrew D and Quinn, Thomas C and Tobian, Aaron A R and Kawashima, Yuka and Pfafferott, Katja and Frater, John and Matthews, Philippa and Payne, Rebecca and Addo, Marylyn and Gatanaga, Hiroyuki and Fujiwara, Mamoru and Hachiya, Atsuko and Koizumi, Hirokazu and {Others} and Pinkerton, Steven D and Gross, Kimber L and Porco, Travis C and Grant, Robert M and Frentz, Dineke and Wensing, Annemarie M J and Albert, Jan and Paraskevis, Dimitris Dimitrios and Abecasis, Ana B and Hamouda, Osamah and Jørgensen, Louise B and Kücherer, Claudia and Struck, Daniel and Schmit, Jean-Claude and {Others} and Schmid, Boris and Ke\$\textbackslash backslash\$csmir, Can and de Boer, Rob J and Nagelkerke, Nico J D and Arora, Paul and Jha, Prabhat and Williams, Brian and McKinnon, Lyle and de Vlas, Sake J and Boily, Marie-Claude and Baggaley, Rebecca F and Wang, Lei and Masse, Benoit and White, Richard G and Hayes, Richard J and Alary, Michel and Schmidt, Wolf-Peter and Van Der Loeff, M Schim and Aaby, P and Whittle, H and Bakker, Roel and Buckner, M and Dias, F and White, Richard G and Furutsuki, Tae and Hosoya, Noriaki and Kawana-Tachikawa, Ai and Tomizawa, Mariko and Odawara, Takashi and Goto, Mieko and Kitamura, Yoshihiro and Nakamura, Tetsuya and Kelleher, Anthony D and Cooper, David A and {Others} and Abecasis, Ana B and Wensing, Annemarie M J and Paraskevis, Dimitris Dimitrios and Vercauteren, Jurgen and Theys, Kristof and de Vijver, David A M C and Albert, Jan and Asjö, Birgitta and Balotta, Claudia and Beshkov, Danail and {Others} and Rasmussen, David A and Volz, Erik M and Koelle, Katia and Ou, C-Y and Weniger, B G and Luo, C-C and Kalish, Marcia L and Gayle, H D and Young, N L and Schochetman, G and Takebe, Y and Yamazaki, S and Auwanit, W and Ronen, Keshet and McCoy, Connor O and Matsen, Frederick A and Boyd, David F and Emery, Sandra and Odem-Davis, Katherine and Jaoko, Walter and Mandaliya, Kishorchandra and McClelland, R Scott and Richardson, Barbra A and {Others} and Rainwater, Stephanie and DeVange, Shannon and Sagar, Manish and Ndinya-Achola, J and Mandaliya, Kishorchandra and Kreiss, Joan K and Overbaugh, Julie and Leynaert, B and {Downs AM} and De Vincenzi, I and Tebit, Denis M and Arts, Eric J and Redd, Andrew D and Collinson-Streng, Aleisha and Martens, Craig and Ricklefs, Stacy and Mullis, Caroline E and Manucci, Jordyn and Tobian, Aaron A R and Selig, Ethan J and Laeyendecker, Oliver and Sewankambo, Nelson and {Others} and Ebert, Dieter and {Others} and Lively, Curtis M and Dybdahl, Mark F and Renjifo, Boris and Gilbert, Peter and Chaplin, Beth and Msamanga, Gernard and Mwakagile, Davis and Fawzi, Wafaie and Essex, Max and Vitamin, Tanzanian and Group, H I V Study and {Others} and Hollingsworth, T Déirdre and Anderson, Roy M and Fraser, Christophe and Piantadosi, Anne and Ngayo, Musa Otieno and Chohan, Bhavna and Overbaugh, Julie and Lukashov, Vladimir V and Cornelissen, Marion T E and Goudsmit, Jaap and Papuashvilli, Marina N and Rytik, Pyotr G and Khaitov, Rakhim M and Karamov, Edward V and de Wolf, Frank and Worobey, Michael and Gemmel, Marlea and Teuwen, Dirk E and Haselkorn, Tamara and Kunstman, Kevin and Bunce, Michael and Muyembe, Jean-Jacques and Kabongo, Jean-Marie M and Kalengayi, Raphaël M and Van Marck, Eric and {Others} and Thomas, James C and Tucker, Myra J and Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M TM and Elkaim, GH Gabriel and Wilmers, CC Christopher C and Wilson, RP and Shepard, ELC and Liebsch, N and Cagnacci, F and Boitani, L and Powell, RA and Boyce, MS and Wilmers, CC Christopher C and Wang, Yiwei and Nickel, Barry and Houghtaling, P and Shakeri, Y and Allen, ML and Cooke, SJ and Shamoun-Baranes, J and Bom, R and Loon, EE and Ens, BJ and Oosterbeek, K and Bouten, W and Nathan, R and Spiegel, O and Fortmann-Roe, S and Harel, R and Wikelski, M and Getz, WM and Shepard, ELC and Wilson, RP and Quintana, F and Laich, AG and Liebsch, N and Albareda, DA and Brown, DD Dorcas and Kays, R and Wikelski, M and Wilson, RP and Klimley, AP and Wilson, AM and Lowe, JC and Roskilly, K and Hudson, PE and Golabek, KA and McNutt, JW and Grunewalder, S and Broekhuis, F and Macdonald, DW and Wilson, AM and McNutt, JW and Shawe-Taylor, J and Logan, KA and Sweanor, LL and Watanabe, S and Izawa, M and Kato, Akiko and Ropert-Coudert, Yan and Naito, Y and Wilson, RP and White, CR and Quintana, F and Halsey, LG and Liebsch, N and Martin, GR and Gleiss, AC and Wilson, RP and Shepard, ELC and Williams, Terrie M TM and Wolfe, LE and Davis, T and Kendall, T and Richter, B and Wang, Yiwei and Elliott, Kyle H. KH and Chivers, LS and Bessey, L and Gaston, AJ and Hatch, SA and Kato, Akiko and Brown, DD Dorcas and LaPoint, S and Kays, R and Heidrich, W and Kümmeth, F and Wikelski, M and Loyd, KT and Hernandez, SM and Carroll, JP and Abernathy, KJ and Marshall, GJ and Williams, Terrie M TM and Fuiman, LA and Horning, M and Davis, RW and Allen, ML and Elbroch, LM and Wilmers, CC Christopher C and Wittmer, HU and Laundré, JW and Kertson, BN and Spencer, RD and Marzluff, JM and Hepinstall-Cymerman, J and Grue, CE and Dickson, BG and Jenness, JS and Beier, P and Green, JA and Halsey, LG and Wilson, RP and Frappell, PB and Shepard, ELC and Wilson, RP and Rees, WG and Grundy, E and Lambertucci, SA and Vosper, SB and Rutishauser, Matthew and Petkov, V and Boice, J and Obraczka, K and Mantey, P and Williams, Terrie M TM and Gebre-Egziabher, D and Elkaim, GH Gabriel and Powel, JD and Parkinson, BW and Shepard, ELC and Wilson, RP and Halsey, LG and Quintana, F and Laich, AG and Gleiss, AC and Breiman, L and Cutler, DR and Edwards, TC and Beard, KH and Cutler, A and Hess, KT and Strobl, C and Malley, J and Tutz, G and Breiman, L and Friedman, JH and Olshen, RA and Stone, CJ and Hothorn, T and Buehlmann, P and Dudoit, S and Molinaro, A and Laan, M and Angulo, Marco Tulio and Moreno, Jaime A. and Lippner, Gabor and Barabási, Albert-László and Liu, Yang-Yu and Cassidy, Kira A. and Mech, L. David and MacNulty, Daniel R. and Stahler, Daniel R. and Smith, Douglas W. and Dickie, Melanie and Serrouya, Robert and McNay, R. Scott and Boutin, Stan and Elliott, Kyle H. KH and Le Vaillant, Maryline and Kato, Akiko and Speakman, John R. and Ropert-Coudert, Yan and Hooker, Sascha K. and McConnell, Bernie J. and Sparling, Carol E. and Lesmerises, Frédéric and Dussault, Christian and St-Laurent, Martin-Hugues and Stiles, Enid K. and Palestrini, Clara and Beauchamp, Guy and Frank, Diane and Watanuki, Yutaka and Wanless, Sarah and Harris, Mike and Lovvorn, James R. and Miyazaki, Masamine and Tanaka, Hideji and Sato, Katsufumi and Weiss, Gary M. and Nathan, Ashwin and Kropp, J.B. and Lockhart, Jeffrey W. and Hakim, Vincent and Silberzan, Pascal and Abdai, Judit and {Ferdinandy Bence} and Baño Terencio, Cristina and Pogány, Ákos and Miklósi, Ádám and Korondi, Péter and Matellán, Vicente and Gácsi, Márta and Fong, Terrence and Nourbakhsh, Illah and Dautenhahn, Kerstin and Miklósi, Ádám and Topál, József and Gácsi, Márta and Kis, Anna and Faragó, Tamás and Janiak, Mariusz and Muszyński, Robert and Miklósi, Ádám and Strombom, Daniel and Random, Author2 and Familyname, Givenname and Moehlman, Patricia Des Roses and Hurwitz, Marc and Bondy, John Adrian and Murty, Uppaluri Siva Ramachandra and King, S R B and Moehlman, Patricia Des Roses and Briard, Léa and Dorn, Camille and Petit, Odile and Barabási, Albert-László and Linklater, Wayne L and Andrieu, Julie and Henry, Séverine and Hausberger, Martine and Thierry, Bernard and David Lusseau, Larissa Conradt and Bourjade, Marie and Thierry, Bernard and Hausberger, Martine and Petit, Odile and Briard, Léa and Deneubourg, Jean-Louis and Petit, Odile and Bourjade, Marie and Thierry, Bernard and Maumy, Myriam and Petit, Odile and Hartmann, Elke and Christensen, Janne W and McGreevy, Paul D and Banino, Andrea and Barry, Caswell and Uria, Benigno and Blundell, Charles and Lillicrap, Timothy and Mirowski, Piotr and Pritzel, Alexander and Chadwick, Martin J. and Degris, Thomas and Modayil, Joseph and Wayne, Greg and Soyer, Hubert and Viola, Fabio and Zhang, Brian and Goroshin, Ross and Rabinowitz, Neil and Pascanu, Razvan and Beattie, Charlie and Petersen, Stig and Sadik, Amir and Gaffney, Stephen and King, Helen and Kavukcuoglu, Koray and Hassabis, Demis and Hadsell, Raia and Kumaran, Dharshan and Guerrero-Higueras, Ángel Manuel and Álvarez-Aparicio, Claudia and Calvo-Olivera, Mar\$\textbackslash backslash\$'\$\textbackslash backslash\$ia Carmen and Rodr\$\textbackslash backslash\$'\$\textbackslash backslash\$iguez-Lera, Francisco Javier and Fernández-Llamas, Camino and Mart\$\textbackslash backslash\$'\$\textbackslash backslash\$in, Francisco and Matellan, Vicente and Ueno, Masataka and Hayashi, Hidetaka and Kabata, Ryosuke and Terada, Kazunori and Yamada, Kazunori and Vásárhelyi, G. and Virágh, Cs and Somorjai, G. and Tarcai, N. and Szörényi, T. and Nepusz, T. and Vicsek, T. and Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M TM and Elkaim, GH Gabriel and Wilmers, CC Christopher C and Stiles, Enid K. and Palestrini, Clara and Beauchamp, Guy and Frank, Diane and Gaunitz, Charleen and Fages, Antoine and Hanghøj, Kristian and Albrechtsen, Anders and Khan, Naveed and Schubert, Mikkel and Seguin-Orlando, Andaine and Owens, Ivy J and Felkel, Sabine and Bignon-Lau, Olivier and de Barros Damgaard, Peter and Mittnik, Alissa and Mohaseb, Azadeh F and Davoudi, Hossein and Alquraishi, Saleh and Alfarhan, Ahmed H and Al-Rasheid, Khaled A S and Crubézy, Eric and Benecke, Norbert and Olsen, Sandra and Brown, DD Dorcas and Anthony, David and Massy, Ken and Pitulko, Vladimir and Kasparov, Aleksei and Brem, Gottfried and Hofreiter, Michael and Mukhtarova, Gulmira and Baimukhanov, Nurbol and Lõugas, Lembi and Onar, Vedat and Stockhammer, Philipp W and Krause, Johannes and Boldgiv, Bazartseren and Undrakhbold, Sainbileg and Erdenebaatar, Diimaajav and Lepetz, Sébastien and Mashkour, Marjan and Ludwig, Arne and Wallner, Barbara and Merz, Victor and Merz, Ilja and Zaibert, Viktor and Willerslev, Eske and Librado, Pablo and Outram, Alan K and Orlando, Ludovic and Newstrom, John W. and Kirkpatrick, Donald L. and Vapnik, V. N. and Chervonenkis, A. Ya. and Kohavi, Ron and Koster, Jeremy and McElreath, Richard and Jeantet, L. and Dell'Amico, F. and Forin-Wiart, M. A. and Coutant, M. and Bonola, M. and Etienne, D. and Gresser, J. and Regis, S. and Lecerf, N. and Lefebvre, F. and De Thoisy, B. and Le Maho, Y. and Brucker, M. and Châtelain, N. and Laesser, R. and Crenner, F. and Handrich, Y. and Wilson, RP and Chevallier, D. and Valletta, John Joseph and Torney, Colin and Kings, Michael and Thornton, Alex and Madden, Joah and Tatler, Jack and Cassey, Phillip and Prowse, Thomas A.A. and Rast, W. and Kimmig, S.E. and Giese, L. and Berger, A.},
  editor = {Rutz, C.},
  options = {useprefix=true},
  date = {2017-12},
  journaltitle = {Journal of Infectious Diseases},
  volume = {10},
  number = {1},
  eprint = {25709837},
  eprinttype = {pmid},
  pages = {1},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-015-0030-0},
  url = {http://link.springer.com/10.1007/978-3-319-21852-6\{\\_\}3 http://epubs.siam.org/doi/10.1137/1116025 https://eric.ed.gov/?id=ED382790 http://doi.wiley.com/10.1002/hrdq.3920060310 http://science.sciencemag.org/content/early/2018/02/21/science.aao3297 https://mov},
  abstract = {Accelerometers are useful tools for biologists seeking to gain a deeper understanding of the daily behavior of cryptic species. We describe how we used GPS and tri-axial accelerometer (sampling at 64 Hz) collars to monitor behaviors of free-ranging pumas (Puma concolor), which are difficult or impossible to observe in the wild. We attached collars to twelve pumas in the Santa Cruz Mountains, CA from 2010-2012. By implementing Random Forest models, we classified behaviors in wild pumas based on training data from observations and measurements of captive puma behavior. We applied these models to accelerometer data collected from wild pumas and identified mobile and non-mobile behaviors in captive animals with an accuracy rate greater than 96\%. Accuracy remained above 95\% even after downsampling our accelerometer data to 16 Hz. We were further able to predict low-acceleration movement behavior (e.g. walking) and high-acceleration movement behavior (e.g. running) with 93.8\% and 92\% accuracy, respectively. We had difficulty predicting non-movement behaviors such as feeding and grooming due to the small size of our training dataset. Lastly, we used model-predicted and field-verified predation events to quantify acceleration characteristics of puma attacks on large prey. These results demonstrate that accelerometers are useful tools for classifying the behaviors of cryptic medium and large-sized terrestrial mammals in their natural habitats and can help scientists gain deeper insight into their fine-scale behavioral patterns. We also show how accelerometer measurements can provide novel insights on the energetics and predation behavior of wild animals. Lastly we discuss the conservation implications of identifying these behavioral patterns in free-ranging species as natural and anthropogenic landscape features influence animal energy allocation and habitat use.},
  isbn = {2051-3933},
  keywords = {Accelerometer,Accelerometry,Activity,Animal behaviour,animal behaviour data,Beagle,Canis lupus,classification,Classification model,clustering,Computer science,deep learning,Dextroamphetamine,dimensionality reduction,Dog,Endangered species,Ethology,Focal observations,functional response,Generalized linear mixed models,Human-robot interaction,Hyperactivity,Hyperkinesis,Japanese macaques,kill rates,Learning algorithms,linear features,machine learning,movement,Multinomial logistic regression,Nature Conservation,Niche,nourl,ODBA,oil and gas,ownpub,particle filter,predation,predictive modelling,Random forest,random forests,Rangifer tarandus,RStan,Scan sampling,search rate,selection,sociable robot,Social competence,social networks,social robot,Social robotics,socially interactive robot,supervised learning,Supervised learning algorithms,teszt2,tracking,Uncanny valley,unsupervised learning},
  file = {/home/fbence/Zotero/storage/7KX9MNPQ/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf;/home/fbence/Zotero/storage/GRPQ9BHD/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf;/home/fbence/Zotero/storage/I6HS38NQ/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf;/home/fbence/Zotero/storage/JGTZXIM8/Wang et al. - 2015 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{wangMachineLearningInferring2019,
  title = {Machine Learning for Inferring Animal Behavior from Location and Movement Data},
  author = {Wang, Guiming},
  date = {2019},
  journaltitle = {Ecological Informatics},
  volume = {49},
  pages = {69--76},
  publisher = {{Elsevier}},
  issn = {15749541},
  doi = {10.1016/j.ecoinf.2018.12.002},
  url = {https://doi.org/10.1016/j.ecoinf.2018.12.002},
  abstract = {Movement ecology has rapidly advanced owing to recent developments of animal-attached devices and wide applications of sophisticated statistical and machine learning techniques in analysis of animal movement data. Global Positioning System (GPS) transmitters used for estimating animal locations and tri-axial accelerometers used for measuring the 3-dimensional accelerations of animal's motion aid researchers in collecting location and locomotion data at fine spatial and temporal scales. Machine learning and other advanced statistical methods bridge conceptual models to data, providing insights into ecological and physiological mechanisms underlying animal behavior and movements. This study reviews the general principles and applications of state space models, hidden Markov models, random forests, and support vector machines in the inference of animal behavior from movement data. Unsupervised learning algorithms, including Bayesian state space models implemented for robust correlated random walk models and hidden Markov models, help infer different behavioral modes using GPS location data. State space models can account for measurement error in GPS locations and estimate the true locations of animals; however, without including movement-state switching, state space models do not infer behavioral modes directly. On the contrary, hidden Markov models estimate the probabilities that animals switch between different behavioral modes. Nevertheless, hidden Markov models neither directly estimate animal locations nor account for measurement error explicitly. Supervised learning algorithms integrate data on locations and directional accelerations with synchronized behavioral observations (i.e., labels) to classify behaviors to pre-defined behavioral categories. Unlike unsupervised learning, supervised learning requires behavioral observations to label locations and accelerometer data to train the learning algorithms. However, behavioral observations synchronized with relocations and acceleration records are often missing or unattainable in many species, hindering the applications of supervised learning, making unsupervised learning a suitable tool for behavioral annotation of movement paths in secretive (cryptic) or less studied species. Environmental and behavioral annotations of animal movement paths by machine learning improve understanding the effects of environmental conditions on animal movements and behavioral decisions.},
  issue = {August 2018},
  keywords = {Behavioral classification,Computational ecology,Hidden Markov model,Movement ecology,State space model,Supervised learning algorithm,Unsupervised learning algorithm},
  file = {/home/fbence/Zotero/storage/ABLN4C8X/Wang - 2019 - Machine learning for inferring animal behavior from location and movement data.pdf}
}

@article{wangMovementRestingAttack2015,
  title = {Movement, Resting, and Attack Behaviors of Wild Pumas Are Revealed by Tri-Axial Accelerometer Measurements},
  author = {Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M and Elkaim, Gabriel H and Wilmers, Christopher C and Wilson, R P and Shepard, E L C and Liebsch, N and Cagnacci, F and Boitani, L and Powell, R A and Boyce, M S and Wilmers, Christopher C and Wang, Yiwei and Nickel, Barry and Houghtaling, P and Shakeri, Y and Allen, M L and Cooke, S J and Shamoun-Baranes, J and Bom, R and Loon, E E and Ens, B J and Oosterbeek, K and Bouten, W and Nathan, R and Spiegel, O and Fortmann-Roe, S and Harel, R and Wikelski, M and Getz, W M and Shepard, E L C and Wilson, R P and Quintana, F and Laich, A G and Liebsch, N and Albareda, D A and Brown, D D and Kays, R and Wikelski, M and Wilson, R P and Klimley, A P and Wilson, A M and Lowe, J C and Roskilly, K and Hudson, P E and Golabek, K A and McNutt, J W and Grunewalder, S and Broekhuis, F and Macdonald, D W and Wilson, A M and McNutt, J W and Shawe-Taylor, J and Logan, K A and Sweanor, L L and Watanabe, S and Izawa, M and Kato, A and Ropert-Coudert, Y and Naito, Y and Wilson, R P and White, C R and Quintana, F and Halsey, L G and Liebsch, N and Martin, G R and Gleiss, A C and Wilson, R P and Shepard, E L C and Williams, Terrie M and Wolfe, L E and Davis, T and Kendall, T and Richter, B and Wang, Yiwei and Elliott, K H and Chivers, L S and Bessey, L and Gaston, A J and Hatch, S A and Kato, A and Brown, D D and LaPoint, S and Kays, R and Heidrich, W and Kümmeth, F and Wikelski, M and Loyd, K T and Hernandez, S M and Carroll, J P and Abernathy, K J and Marshall, G J and Williams, Terrie M and Fuiman, L A and Horning, M and Davis, R W and Allen, M L and Elbroch, L M and Wilmers, Christopher C and Wittmer, H U and Laundré, J W and Kertson, B N and Spencer, R D and Marzluff, J M and Hepinstall-Cymerman, J and Grue, C E and Dickson, B G and Jenness, J S and Beier, P and Green, J A and Halsey, L G and Wilson, R P and Frappell, P B and Shepard, E L C and Wilson, R P and Rees, W G and Grundy, E and Lambertucci, S A and Vosper, S B and Rutishauser, Matthew and Petkov, V and Boice, J and Obraczka, K and Mantey, P and Williams, Terrie M and Gebre-Egziabher, D and Elkaim, Gabriel H and Powel, J D and Parkinson, B W and Shepard, E L C and Wilson, R P and Halsey, L G and Quintana, F and Laich, A G and Gleiss, A C and Breiman, L and Cutler, D R and Edwards, T C and Beard, K H and Cutler, A and Hess, K T and Strobl, C and Malley, J and Tutz, G and Breiman, L and Friedman, J H and Olshen, R A and Stone, C J and Hothorn, T and Buehlmann, P and Dudoit, S and Molinaro, A and Laan, M},
  date = {2015-12},
  journaltitle = {Mov. Ecol.},
  volume = {3},
  number = {1},
  eprint = {25709837},
  eprinttype = {pmid},
  pages = {2},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-015-0030-0},
  url = {https://academic.oup.com/biostatistics/article-lookup/doi/10.1093/biostatistics/kxj011 http://www.movementecologyjournal.com/content/3/1/2},
  abstract = {Accelerometers are useful tools for biologists seeking to gain a deeper understanding of the daily behavior of cryptic species. We describe how we used GPS and tri-axial accelerometer (sampling at 64 Hz) collars to monitor behaviors of free-ranging pumas (Puma concolor), which are difficult or impossible to observe in the wild. We attached collars to twelve pumas in the Santa Cruz Mountains, CA from 2010-2012. By implementing Random Forest models, we classified behaviors in wild pumas based on training data from observations and measurements of captive puma behavior. We applied these models to accelerometer data collected from wild pumas and identified mobile and non-mobile behaviors in captive animals with an accuracy rate greater than 96\%. Accuracy remained above 95\% even after downsampling our accelerometer data to 16 Hz. We were further able to predict low-acceleration movement behavior (e.g. walking) and high-acceleration movement behavior (e.g. running) with 93.8\% and 92\% accuracy, respectively. We had difficulty predicting non-movement behaviors such as feeding and grooming due to the small size of our training dataset. Lastly, we used model-predicted and field-verified predation events to quantify acceleration characteristics of puma attacks on large prey. These results demonstrate that accelerometers are useful tools for classifying the behaviors of cryptic medium and large-sized terrestrial mammals in their natural habitats and can help scientists gain deeper insight into their fine-scale behavioral patterns. We also show how accelerometer measurements can provide novel insights on the energetics and predation behavior of wild animals. Lastly we discuss the conservation implications of identifying these behavioral patterns in free-ranging species as natural and anthropogenic landscape features influence animal energy allocation and habitat use.},
  isbn = {2051-3933},
  keywords = {Nature Conservation}
}

@article{wangMovementRestingAttack2015a,
  title = {Movement, Resting, and Attack Behaviors of Wild Pumas Are Revealed by Tri-Axial Accelerometer Measurements},
  author = {Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M and Elkaim, Gabriel and Wilmers, Christopher C},
  date = {2015-12},
  journaltitle = {Movement Ecology},
  volume = {3},
  number = {1},
  pages = {2},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-015-0030-0},
  url = {https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-015-0030-0},
  abstract = {Accelerometers are useful tools for biologists seeking to gain a deeper understanding of the daily behavior of cryptic species. We describe how we used GPS and tri-axial accelerometer (sampling at 64 Hz) collars to monitor behaviors of free-ranging pumas (Puma concolor), which are difficult or impossible to observe in the wild. We attached collars to twelve pumas in the Santa Cruz Mountains, CA from 2010-2012. By implementing Random Forest models, we classified behaviors in wild pumas based on training data from observations and measurements of captive puma behavior. We applied these models to accelerometer data collected from wild pumas and identified mobile and non-mobile behaviors in captive animals with an accuracy rate greater than 96\%. Accuracy remained above 95\% even after downsampling our accelerometer data to 16 Hz. We were further able to predict low-acceleration movement behavior (e.g. walking) and high-acceleration movement behavior (e.g. running) with 93.8\% and 92\% accuracy, respectively. We had difficulty predicting non-movement behaviors such as feeding and grooming due to the small size of our training dataset. Lastly, we used model-predicted and field-verified predation events to quantify acceleration characteristics of puma attacks on large prey. These results demonstrate that accelerometers are useful tools for classifying the behaviors of cryptic medium and large-sized terrestrial mammals in their natural habitats and can help scientists gain deeper insight into their fine-scale behavioral patterns. We also show how accelerometer measurements can provide novel insights on the energetics and predation behavior of wild animals. Lastly we discuss the conservation implications of identifying these behavioral patterns in free-ranging species as natural and anthropogenic landscape features influence animal energy allocation and habitat use.},
  keywords = {Nature Conservation},
  file = {/home/fbence/Zotero/storage/BEEFIKV6/Wang et al. - 2015 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{wangMovementRestingAttack2015b,
  title = {Movement, Resting, and Attack Behaviors of Wild Pumas Are Revealed by Tri-Axial Accelerometer Measurements},
  author = {Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M and Elkaim, Gabriel and Wilmers, Christopher C},
  date = {2015-12},
  journaltitle = {Movement Ecology},
  volume = {3},
  number = {1},
  pages = {2},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-015-0030-0},
  url = {https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-015-0030-0},
  abstract = {Accelerometers are useful tools for biologists seeking to gain a deeper understanding of the daily behavior of cryptic species. We describe how we used GPS and tri-axial accelerometer (sampling at 64 Hz) collars to monitor behaviors of free-ranging pumas (Puma concolor), which are difficult or impossible to observe in the wild. We attached collars to twelve pumas in the Santa Cruz Mountains, CA from 2010-2012. By implementing Random Forest models, we classified behaviors in wild pumas based on training data from observations and measurements of captive puma behavior. We applied these models to accelerometer data collected from wild pumas and identified mobile and non-mobile behaviors in captive animals with an accuracy rate greater than 96\%. Accuracy remained above 95\% even after downsampling our accelerometer data to 16 Hz. We were further able to predict low-acceleration movement behavior (e.g. walking) and high-acceleration movement behavior (e.g. running) with 93.8\% and 92\% accuracy, respectively. We had difficulty predicting non-movement behaviors such as feeding and grooming due to the small size of our training dataset. Lastly, we used model-predicted and field-verified predation events to quantify acceleration characteristics of puma attacks on large prey. These results demonstrate that accelerometers are useful tools for classifying the behaviors of cryptic medium and large-sized terrestrial mammals in their natural habitats and can help scientists gain deeper insight into their fine-scale behavioral patterns. We also show how accelerometer measurements can provide novel insights on the energetics and predation behavior of wild animals. Lastly we discuss the conservation implications of identifying these behavioral patterns in free-ranging species as natural and anthropogenic landscape features influence animal energy allocation and habitat use.},
  keywords = {Nature Conservation},
  file = {/home/fbence/Zotero/storage/2GLTI4VI/Wang et al. - 2015 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{wangMovementRestingAttack2015c,
  title = {Movement, Resting, and Attack Behaviors of Wild Pumas Are Revealed by Tri-Axial Accelerometer Measurements},
  author = {Wang, Yiwei and Nickel, Barry and Rutishauser, Matthew and Bryce, Caleb M and Williams, Terrie M and Elkaim, Gabriel and Wilmers, Christopher C and Wilson, RP and Shepard, ELC and Liebsch, N and Cagnacci, F and Boitani, L and Powell, RA and Boyce, MS and Wilmers, CC and Wang, Y and Nickel, B and Houghtaling, P and Shakeri, Y and Allen, M and Cooke, SJ and Shamoun-Baranes, J and Bom, R and Loon, EE and Ens, BJ and Oosterbeek, K and Bouten, W and Nathan, R and Spiegel, O and Fortmann-Roe, S and Harel, R and Wikelski, M and Getz, WM and Shepard, ELC and Wilson, RP and Quintana, F and Laich, AG and Liebsch, N and Albareda, DA and Brown, DD and Kays, R and Wikelski, M and Wilson, R and Klimley, AP and Wilson, AM and Lowe, JC and Roskilly, K and Hudson, PE and Golabek, KA and McNutt, JW and Grunewalder, S and Broekhuis, F and Macdonald, DW and Wilson, AM and McNutt, JW and Shawe-Taylor, J and Logan, KA and Sweanor, LL and Watanabe, S and Izawa, M and Kato, A and Ropert-Coudert, Y and Naito, Y and Wilson, RP and White, CR and Quintana, F and Halsey, LG and Liebsch, N and Martin, GR and Gleiss, AC and Wilson, RP and Shepard, ELC and Williams, TM and Wolfe, LE and Davis, T and Kendall, T and Richter, B and Wang, Y and Elliott, KH and Chivers, LS and Bessey, L and Gaston, AJ and Hatch, SA and Kato, A and Brown, DD and LaPoint, S and Kays, R and Heidrich, W and Kümmeth, F and Wikelski, M and Loyd, KT and Hernandez, SM and Carroll, JP and Abernathy, KJ and Marshall, GJ and Williams, TM and Fuiman, LA and Horning, M and Davis, RW and Allen, ML and Elbroch, LM and Wilmers, CC and Wittmer, HU and Laundré, JW and Kertson, BN and Spencer, RD and Marzluff, JM and Hepinstall-Cymerman, J and Grue, CE and Dickson, BG and Jenness, JS and Beier, P and Green, JA and Halsey, LG and Wilson, RP and Frappell, PB and Shepard, ELC and Wilson, RP and Rees, WG and Grundy, E and Lambertucci, SA and Vosper, SB and Rutishauser, M and Petkov, V and Boice, J and Obraczka, K and Mantey, P and Williams, TM and Gebre-Egziabher, D and Elkaim, GH and Powel, JD and Parkinson, BW and Shepard, ELC and Wilson, RP and Halsey, LG and Quintana, F and Laich, AG and Gleiss, AC and Breiman, L and Cutler, DR and Edwards, TC and Beard, KH and Cutler, A and Hess, KT and Strobl, C and Malley, J and Tutz, G and Breiman, L and Friedman, JH and Olshen, RA and Stone, CJ and Hothorn, T and Buehlmann, P and Dudoit, S and Molinaro, A and Laan, M},
  date = {2015-12},
  journaltitle = {Movement Ecology},
  volume = {3},
  number = {1},
  eprint = {25709837},
  eprinttype = {pmid},
  pages = {2},
  publisher = {{BioMed Central}},
  issn = {2051-3933},
  doi = {10.1186/s40462-015-0030-0},
  url = {https://academic.oup.com/biostatistics/article-lookup/doi/10.1093/biostatistics/kxj011 http://www.movementecologyjournal.com/content/3/1/2},
  abstract = {Accelerometers are useful tools for biologists seeking to gain a deeper understanding of the daily behavior of cryptic species. We describe how we used GPS and tri-axial accelerometer (sampling at 64 Hz) collars to monitor behaviors of free-ranging pumas (Puma concolor), which are difficult or impossible to observe in the wild. We attached collars to twelve pumas in the Santa Cruz Mountains, CA from 2010-2012. By implementing Random Forest models, we classified behaviors in wild pumas based on training data from observations and measurements of captive puma behavior. We applied these models to accelerometer data collected from wild pumas and identified mobile and non-mobile behaviors in captive animals with an accuracy rate greater than 96\%. Accuracy remained above 95\% even after downsampling our accelerometer data to 16 Hz. We were further able to predict low-acceleration movement behavior (e.g. walking) and high-acceleration movement behavior (e.g. running) with 93.8\% and 92\% accuracy, respectively. We had difficulty predicting non-movement behaviors such as feeding and grooming due to the small size of our training dataset. Lastly, we used model-predicted and field-verified predation events to quantify acceleration characteristics of puma attacks on large prey. These results demonstrate that accelerometers are useful tools for classifying the behaviors of cryptic medium and large-sized terrestrial mammals in their natural habitats and can help scientists gain deeper insight into their fine-scale behavioral patterns. We also show how accelerometer measurements can provide novel insights on the energetics and predation behavior of wild animals. Lastly we discuss the conservation implications of identifying these behavioral patterns in free-ranging species as natural and anthropogenic landscape features influence animal energy allocation and habitat use.},
  isbn = {2051-3933},
  keywords = {Nature Conservation},
  file = {/home/fbence/Zotero/storage/HCB3X2RG/Wang et al. - 2015 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@article{wangUncannyValleyExistence2015,
  title = {The Uncanny Valley: {{Existence}} and Explanations},
  author = {Wang, Shensheng and Lilienfeld, Scott O. and Rochat, Philippe},
  date = {2015-12},
  journaltitle = {Review of General Psychology},
  volume = {19},
  number = {4},
  pages = {393--407},
  publisher = {{American Psychological Association Inc.}},
  issn = {10892680},
  doi = {10.1037/gpr0000056},
  url = {http://dx.doi.org/10.1037/gpr0000056},
  abstract = {More than 40 years ago, Japanese roboticist Masahiro Mori (1970/2005) proposed the "uncanny valley" hypothesis, which predicted a nonlinear relation between robots' perceived human likeness and their likability. Although some studies have corroborated this hypothesis and proposed explanations for its existence, the evidence on both fronts has been mixed and open to debate. We first review the literature to ascertain whether the uncanny valley exists. We then try to explain the uncanny phenomenon by reviewing hypotheses derived from diverse theoretical and methodological perspectives within psychology and allied fields, including evolutionary, social, cognitive, and psychodynamic approaches. Next, we provide an evaluation and critique of these studies by focusing on their methodological limitations, leading us to question the accepted definition of the uncanny valley. We examine the definitions of human likeness and likability, and propose a statistical test to preliminarily quantify their nonlinear relation. We argue that the uncanny valley hypothesis is ultimately an engineering problem that bears on the possibility of building androids that may some day become indistinguishable from humans. In closing, we propose a dehumanization hypothesis to explain the uncanny phenomenon.},
  keywords = {Animacy,Dehumanization,Humanness,Statistical test,Uncanny valley},
  file = {/home/fbence/Zotero/storage/YFVTEVVZ/Wang, Lilienfeld, Rochat - 2015 - The uncanny valley Existence and explanations.pdf}
}

@article{wareValidationMercuryTipswitch,
  title = {Validation of Mercury Tip-Switch and Accelerometer Activity Sensors for Identifying Resting and Active Behavior in Bears {{Validation}} of Mercury Tip-Switch and Accelerometer Activity Sensors for Identifying Resting and Active Behavior in Bears},
  author = {Ware, Jasmine V and Rode, Karyn D and Pagano, Anthony M and Bromaghin, Jeffrey and Robbins, T and Erlenbach, Joy and Jensen, Shannon and Cutting, Amy and Nicassio-hiskey, Nicole and Owen, Megan and Jansen, Heiko T and Ware, Jasmine V and Rode, Karyn D and Pagano, Anthony M and Bromaghin, Jeffrey},
  doi = {10.2192/URSUS-D-14-00031.1},
  file = {/home/fbence/Zotero/storage/75GWMULQ/Ware et al. - Unknown - Validation of mercury tip-switch and accelerometer activity sensors for identifying resting and active behavior.pdf}
}

@article{warwick-evansTimeinareaRepresentsForaging2015,
  title = {Time-in-Area Represents Foraging Activity in a Wide-Ranging Pelagic Forager},
  author = {Warwick-Evans, V. and Atkinson, P. W. and Gauvain, R. D. and Robinson, L. A. and Arnould, J. P.Y. and Green, J. A.},
  date = {2015},
  journaltitle = {Marine Ecology Progress Series},
  volume = {527},
  pages = {233--246},
  issn = {01718630},
  doi = {10.3354/meps11262},
  abstract = {Successful Marine Spatial Planning depends upon the identification of areas with high importance for particular species, ecosystems or processes. For seabirds, advancements in biologging devices have enabled us to identify these areas through the detailed study of at-sea behaviour. However, in many cases, only positional data are available and the presence of local biological productivity and hence seabird foraging behaviour is inferred from these data alone, under the untested assumption that foraging activity is more likely to occur in areas where sea- birds spend more time. We fitted GPS devices and accelerometers to northern gannets Morus bassanus and categorised the behaviour of individuals outside the breeding colony as plunge diving, surface foraging, floating and flying. We then used the locations of foraging events to test the efficiency of 2 approaches: time-in-area and kernel density (KD) analyses, which are widely employed to detect highly-used areas and interpret foraging behaviour from positional data. For KD analyses, the smoothing parameter (h) was calculated using the ad hoc method (KDad hoc), and KDh=9.1, where h = 9.1 km, to designate core foraging areas from location data. A high proportion of foraging events occurred in core foraging areas designated using KDad hoc, KDh=9.1, and time-in- area. Our findings demonstrate that foraging activity occurs in areas where seabirds spend more time, and that both KD analysis and the time-in-area approach are equally efficient methods for this type of analysis. However, the time-in-area approach is advantageous in its simplicity, and in its ability to provide the shapes commonly used in planning. Therefore, the time-in-area approach can be used as a simple way of using seabirds to identify ecologically important locations from both tracking and survey data.},
  issue = {May},
  keywords = {Accelerometer,Biologging,GPS tracking,Marine spatial planning,Morus bassanus,Northern gannet},
  file = {/home/fbence/Zotero/storage/3WA8HCJU/Warwick-Evans et al. - 2015 - Time-in-area represents foraging activity in a wide-ranging pelagic forager.pdf}
}

@article{watanukiSwimSpeedsStroke2006,
  title = {Swim Speeds and Stroke Patterns in Wing-Propelled Divers: A Comparison among Alcids and a Penguin.},
  author = {Watanuki, Yutaka and Wanless, Sarah and Harris, Mike and Lovvorn, James R and Miyazaki, Masamine and Tanaka, Hideji and Sato, Katsufumi},
  date = {2006-04},
  journaltitle = {The Journal of experimental biology},
  volume = {209},
  eprint = {16547294},
  eprinttype = {pmid},
  pages = {1217--30},
  publisher = {{The Company of Biologists Ltd}},
  issn = {0022-0949},
  doi = {10.1242/jeb.02128},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/11398745 http://www.ncbi.nlm.nih.gov/pubmed/16547294},
  abstract = {In diving birds, the volume and resulting buoyancy of air spaces changes with dive depth, and hydrodynamic drag varies with swim speed. These factors are important in the dive patterns and locomotion of alcids that use their wings both for aerial flight and underwater swimming and of penguins that use their wings only for swimming. Using small data-loggers on free-ranging birds diving to 20-30 m depth, we measured depth at 1 Hz and surge and heave accelerations at 32-64 Hz of four species of alcids (0.6-1.0 kg mass) and the smallest penguin species (1.2 kg). Low- and high-frequency components of the fluctuation of acceleration yielded estimates of body angles and stroke frequencies, respectively. Swim speed was estimated from body angle and rate of depth change. Brünnich's (Uria lomvia) and common (Uria aalge) guillemots descended almost vertically, whereas descent of razorbills (Alca torda), rhinoceros auklets (Cerorhinca monocerata) and little penguins (Eudyptula minor) was more oblique. For all species, swim speed during descent was within a relatively narrow range. Above depths of 20-30 m, where they were all positively buoyant, all species ascended without wing stroking. During descent, little penguins made forward accelerations on both the upstroke and downstroke regardless of dive depth. By contrast, descending alcids produced forward accelerations on both upstroke and downstroke at depths of \textbackslash textless10 m but mainly on the downstroke at greater depths; this change seemed to correspond to the decrease of buoyancy with increasing depth. The magnitude of surge (forward) acceleration during downstrokes was smaller, and that during upstrokes greater, in little penguins than in alcids. This pattern presumably reflected the proportionally greater mass of upstroke muscles in penguins compared with alcids and may allow little penguins to swim at less variable instantaneous speeds.},
  issue = {Pt 7},
  file = {/home/fbence/Zotero/storage/CPXNBYFI/Watanuki et al. - 2006 - Swim speeds and stroke patterns in wing-propelled divers a comparison among alcids and a penguin.pdf}
}

@article{watanukiSwimSpeedsStroke2006a,
  title = {Swim Speeds and Stroke Patterns in Wing-Propelled Divers: A Comparison among Alcids and a Penguin},
  author = {Watanuki, Yutaka and Wanless, Sarah and Harris, Mike and Lovvorn, James R. and Miyazaki, Masamine and Tanaka, Hideji and Sato, Katsufumi},
  date = {2006},
  journaltitle = {Journal of Experimental Biology},
  volume = {209},
  number = {7},
  url = {http://jeb.biologists.org/content/209/7/1217.short}
}

@article{wattsCollectiveDynamicsSmall1998,
  title = {Collective Dynamics of "Small World" Networks},
  author = {Watts, D J and Strogatz, S H},
  date = {1998},
  journaltitle = {Nature},
  volume = {393},
  pages = {440--442}
}

@inproceedings{weissWagTag2013,
  title = {{{WagTag}}},
  booktitle = {Proceedings of the 2013 {{ACM}} Conference on {{Pervasive}} and Ubiquitous Computing Adjunct Publication - {{UbiComp}} '13 {{Adjunct}}},
  author = {Weiss, Gary M. and Nathan, Ashwin and Kropp, J.B. and Lockhart, Jeffrey W.},
  date = {2013},
  pages = {405--414},
  publisher = {{ACM Press}},
  location = {{New York, New York, USA}},
  doi = {10.1145/2494091.2495972},
  url = {http://dl.acm.org/citation.cfm?doid=2494091.2495972},
  isbn = {978-1-4503-2215-7},
  keywords = {activity recognition,data mining,mobile health,sensors,ubiquitous computing,wearable computing}
}

@inproceedings{weissWagTagDogCollar2013,
  title = {{{WagTag}}: A Dog Collar Accessory for Monitoring Canine Activity Levels},
  booktitle = {Proceedings of the 2013 {{ACM}} Conference on {{Pervasive}} and Ubiquitous Computing Adjunct Publication - {{UbiComp}} '13 {{Adjunct}}},
  author = {Weiss, Gary M. and Nathan, Ashwin and Kropp, J.B. and Lockhart, Jeffrey W.},
  date = {2013},
  pages = {405--414},
  publisher = {{ACM Press}},
  location = {{New York, New York, USA}},
  doi = {10.1145/2494091.2495972},
  url = {http://dl.acm.org/citation.cfm?doid=2494091.2495972},
  isbn = {978-1-4503-2215-7},
  file = {/home/fbence/Zotero/storage/996GYPVI/Walter et al. - 2017 - Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements.pdf}
}

@report{wenger-traynerCommunitiesPracticeBrief2015,
  title = {Communities of Practice: {{A}} Brief Introduction},
  author = {Wenger-Trayner, Beverly and Wenger-Trayner, Etienne},
  date = {2015},
  abstract = {A group of internal auditors in the public sector from different countries in Eastern Europe and Central Asia were having their 34 th official meeting. For seven years now they had been coming together to hear how others in the region were engaged in internal audit and to create manuals and other publications that they felt were missing from their profession. Only a few of the original members were still part of the group, but the shared work, stories, and artifacts created over time gave their meetings a sense of continuity and purpose. If you were a fly-­-on-­-the wall at one of their events you would notice how new members were warmly welcomed into "the family", how many people stepped up to take initiative or share their war stories, and how ambitious core members were to advance the practice of internal audit in the public sector in the region. Evening events, organized by the host country, were always lively-­-with singing, dancing and the singing of a hymn composed and sung by members.},
  file = {/home/fbence/Zotero/storage/D2ARM4IW/Wenger-Trayner, Wenger-Trayner - 2015 - Communities of practice A brief introduction.pdf}
}

@misc{wienerFrequencyTuningTemporal2016,
  title = {Frequency Tuning for Temporal Perception and Prediction},
  author = {Wiener, Martin and Kanai, Ryota},
  date = {2016-04},
  journaltitle = {Current Opinion in Behavioral Sciences},
  volume = {8},
  pages = {1--6},
  publisher = {{Elsevier Ltd}},
  issn = {23521546},
  doi = {10.1016/j.cobeha.2016.01.001},
  abstract = {The perception of time and prediction of upcoming events requires coordination between a diverse set of neural regions. Neural oscillations have emerged as a candidate mechanism for neural timing; however, no single frequency has yet emerged as dominant for timing and action. We suggest that different frequency bands may be associated with different neural networks that are context-dependent, such that they are only invoked when a particular task context is encountered. To determine the connection between observed oscillations and these neural networks, causal methods are necessary to disrupt oscillatory activity and measure resultant changes in neural network activity.},
  file = {/home/fbence/Zotero/storage/ARUEGBB5/Wiener, Kanai - 2016 - Frequency tuning for temporal perception and prediction.pdf}
}

@article{wignerUnreasonableEffectivenessMathematics1960,
  title = {The Unreasonable Effectiveness of Mathematics in the Natural Sciences. {{Richard}} Courant Lecture in Mathematical Sciences Delivered at {{New York University}}, {{May}} 11, 1959},
  author = {Wigner, Eugene P},
  date = {1960},
  journaltitle = {Communications on pure and applied mathematics},
  volume = {13},
  number = {1},
  pages = {1--14},
  publisher = {{Wiley Online Library}}
}

@article{wijersListeningLionsAnimalBorne2018,
  title = {Listening to {{Lions}}: {{Animal-Borne Acoustic Sensors Improve Bio-logger Calibration}} and {{Behaviour Classification Performance}}},
  author = {Wijers, Matthew and Trethowan, Paul and Markham, Andrew and du Preez, Byron and Chamaillé-Jammes, Simon and Loveridge, Andrew and Macdonald, David},
  options = {useprefix=true},
  date = {2018},
  journaltitle = {Frontiers in Ecology and Evolution},
  volume = {6},
  pages = {1--8},
  doi = {10.3389/fevo.2018.00171},
  abstract = {Efforts to better understand patterns of animal behaviour have often been restricted by several environmental, human and experimental limitations associated with the collection of animal behavioural data. The introduction of new bio-logging technology has offered an alternative means of recording animal behaviour continuously and is being used in an increasing number of studies. Accurately calibrating these bio-loggers, however, still remains a challenge in many cases. Using lions as an example species, we test how audio recordings from animal-borne acoustic sensors can improve calibration and behaviour classification. Through a collaborative effort between computer scientists, engineers and zoologists, custom designed acoustic bio-loggers were fitted to eight lions and recorded audio simultaneously with accelerometer and magnetometer data. Audio recordings were then used as the source of ground truth to train random forest classification models as well as to provide additional predictor variables for behaviour classification. We demonstrated near-perfect classification performance for five lion behaviour classes when all component variables were combined, with an average per-class precision of 98.5\%. Using accelerometer features only, the audio-trained classifier predicted behaviours with an average per-class precision of 94.3\%. On-animal audio recordings are therefore able to provide a valuable source of ground-truth for calibrating bio-loggers while also offering additional predictive features for increasing the accuracy of behaviour classification. This technological innovation has wide ranging application and provides a useful tool for behavioural ecologists wishing to collect fine scale behavioural data for animal research and conservation.},
  issue = {October},
  keywords = {acoustic monitoring,african lion,African lion,behaviour class,behaviour classification,bio-logger calibration,machine learning},
  file = {/home/fbence/Zotero/storage/5U3Z9ISU/Wijers et al. - 2018 - Listening to Lions Animal-Borne Acoustic Sensors Improve Bio-logger Calibration and Behaviour Classification Perf.pdf}
}

@article{wikelskiGoingWildWhat2007,
  title = {Going Wild: What a Global Small-Animal Tracking System Could Do for Experimental Biologists},
  author = {Wikelski, M. and Kays, R. W. and Kasdin, N. J. and Thorup, K. and Smith, J. A. and Swenson, G. W. and Kurita, M and Le Maho, Y},
  date = {2007-01},
  journaltitle = {Journal of Experimental Biology},
  volume = {210},
  number = {2},
  eprint = {11171350},
  eprinttype = {pmid},
  pages = {181--186},
  publisher = {{The Company of Biologists Ltd}},
  issn = {0022-0949},
  doi = {10.1242/jeb.02629},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/11171350 http://jeb.biologists.org/cgi/doi/10.1242/jeb.02629},
  abstract = {Measurement of the time allocation of penguins at sea has been a major goal of researchers in recent years. Until now, however, no equipment has been available that would allow measurement of the aquatic and terrestrial behaviour of an Antarctic penguin while it is commuting between the colony and the foraging grounds. A new motion detector, based on the measurement of acceleration, has been used here in addition to current methods of inferring behaviour using data loggers that monitor depth and speed. We present data on the time allocation of Adélie penguins (Pygoscelis adeliae) according to the different types of behaviours they display during their foraging trips: walking, tobogganing, standing on land, lying on land, resting at the water surface, porpoising and diving. To illustrate the potential of this new technique, we compared the behaviour of Adélie penguins during the chick-rearing period in a fast sea-ice region and an ice-free region. The proportion of time spent standing, lying on land and walking during foraging trips was greater for penguins in the sea-ice region (37.6+/-13.3\% standing, 21.6+/-15.6\% lying and 5.9+/-6.3\% walking) than for those in the ice-free region (12.0+/-15.8 \% standing, 0.38+/-0.60\% lying and 0 \% walking), whereas the proportion of time spent resting at the water surface and porpoising was greater for birds in the ice-free region (38.1+/-6.4\% resting and 1.1+/-1.1\% porpoising) than for those in the sea-ice region (3.0+/-2.3\% resting and 0\% porpoising; means +/- s.d., N=7 for the sea-ice region, N=4 for the ice-free region). Using this new approach, further studies combining the monitoring of marine resources in different Antarctic sites and the measurement of the energy expenditure of foraging penguins, e.g. using heart rates, will constitute a powerful tool for investigating the effects of environmental conditions on their foraging strategy. This technique will expand our ability to monitor many animals in the field.},
  file = {/home/fbence/Zotero/storage/WRBTEBH6/Wikelski et al. - 2007 - Going wild what a global small-animal tracking system could do for experimental biologists.pdf}
}

@article{williamsCanAccelerometryBe2015,
  title = {Can Accelerometry Be Used to Distinguish between Flight Types in Soaring Birds ?},
  author = {Williams, H J and Shepard, E L C and Duriez, O and Lambertucci, S A},
  date = {2015},
  journaltitle = {Animal Biotelemetry},
  pages = {1--11},
  publisher = {{BioMed Central}},
  issn = {2050-3385},
  doi = {10.1186/s40317-015-0077-0},
  isbn = {4031701500},
  keywords = {acceleration,Acceleration,centripetal acceleration,Centripetal acceleration,daily diary,Daily Diary,knn,KNN,magnetometry,Magnetometry,pulling- g,Pulling-g,soaring flight,Soaring flight},
  file = {/home/fbence/Zotero/storage/WSW83HAX/Williams et al. - 2015 - Can accelerometry be used to distinguish between flight types in soaring birds.pdf}
}

@article{williamsIdentificationAnimalMovement2017,
  title = {Identification of Animal Movement Patterns Using Tri-Axial Magnetometry},
  author = {Williams, Hannah J. and Holton, Mark D. and Shepard, Emily L.C. and Largey, Nicola and Norman, Brad and Ryan, Peter G. and Duriez, Olivier and Scantlebury, Michael and Quintana, Flavio and Magowan, Elizabeth A. and Marks, Nikki J. and Alagaili, Abdulaziz N. and Bennett, Nigel C. and Wilson, Rory P.},
  date = {2017-03},
  journaltitle = {Movement Ecology},
  volume = {5},
  number = {1},
  publisher = {{BioMed Central Ltd.}},
  issn = {20513933},
  doi = {10.1186/s40462-017-0097-x},
  abstract = {Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.},
  keywords = {Accelerometer,Angular velocity,Animal behaviour,Behavioural consistency,Bio-logging,Magnetic field,Magnetometer,Normal operational plane},
  file = {/home/fbence/Zotero/storage/5RKYJIGA/Williams et al. - 2017 - Identification of animal movement patterns using tri-axial magnetometry.pdf}
}

@article{williamsIdentificationAnimalMovement2017a,
  title = {Identification of Animal Movement Patterns Using Tri-Axial Magnetometry},
  author = {Williams, Hannah J. and Holton, Mark D. and Shepard, Emily L.C. and Largey, Nicola and Norman, Brad and Ryan, Peter G. and Duriez, Olivier and Scantlebury, Michael and Quintana, Flavio and Magowan, Elizabeth A. and Marks, Nikki J. and Alagaili, Abdulaziz N. and Bennett, Nigel C. and Wilson, Rory P.},
  date = {2017-03},
  journaltitle = {Movement Ecology},
  volume = {5},
  number = {1},
  publisher = {{BioMed Central Ltd.}},
  issn = {20513933},
  doi = {10.1186/s40462-017-0097-x},
  abstract = {Background: Accelerometers are powerful sensors in many bio-logging devices, and are increasingly allowing researchers to investigate the performance, behaviour, energy expenditure and even state, of free-living animals. Another sensor commonly used in animal-attached loggers is the magnetometer, which has been primarily used in dead-reckoning or inertial measurement tags, but little outside that. We examine the potential of magnetometers for helping elucidate the behaviour of animals in a manner analogous to, but very different from, accelerometers. The particular responses of magnetometers to movement means that there are instances when they can resolve behaviours that are not easily perceived using accelerometers. Methods: We calibrated the tri-axial magnetometer to rotations in each axis of movement and constructed 3-dimensional plots to inspect these stylised movements. Using the tri-axial data of Daily Diary tags, attached to individuals of number of animal species as they perform different behaviours, we used these 3-d plots to develop a framework with which tri-axial magnetometry data can be examined and introduce metrics that should help quantify movement and behaviour.Results: Tri-axial magnetometry data reveal patterns in movement at various scales of rotation that are not always evident in acceleration data. Some of these patterns may be obscure until visualised in 3D space as tri-axial spherical plots (m-spheres). A tag-fitted animal that rotates in heading while adopting a constant body attitude produces a ring of data around the pole of the m-sphere that we define as its Normal Operational Plane (NOP). Data that do not lie on this ring are created by postural rotations of the animal as it pitches and/or rolls. Consequently, stereotyped behaviours appear as specific trajectories on the sphere (m-prints), reflecting conserved sequences of postural changes (and/or angular velocities), which result from the precise relationship between body attitude and heading. This novel approach shows promise for helping researchers to identify and quantify behaviours in terms of animal body posture, including heading. Conclusion: Magnetometer-based techniques and metrics can enhance our capacity to identify and examine animal behaviour, either as a technique used alone, or one that is complementary to tri-axial accelerometry.},
  keywords = {Accelerometer,Angular velocity,Animal behaviour,Behavioural consistency,Bio-logging,Magnetic field,Magnetometer,Normal operational plane}
}

@article{wilsonNaturalSleepIts2016,
  title = {Natural Sleep and Its Seasonal Variations in Three Pre-Industrial Societies},
  author = {Wilson, Charles and Mcgregor, Ronald and Siegel, Jerome M and Yetish, Gandhi and Kaplan, Hillard and Gurven, Michael and Wood, Brian and Pontzer, Herman and Manger, Paul R and Wilson, Charles and Mcgregor, Ronald and Siegel, Jerome M and Edu, Jsiegel@ucla and Biol, Curr},
  date = {2016},
  journaltitle = {Curr Biol},
  volume = {25},
  number = {21},
  pages = {2862--2868},
  doi = {10.1016/j.cub.2015.09.046.Natural},
  url = {www.healthypeople.gov/2020/topics-objectives/topic/sleep-health\{\\#\}eight},
  abstract = {How did humans sleep before the modern era? Because the tools to measure sleep under natural conditions were developed long after the invention of the electric devices suspected of delaying and reducing sleep, we investigated sleep in three preindustrial societies[1-3]. We find that all three show similar sleep organization, suggesting that they express core human sleep patterns, likely characteristic of pre-modern era Homo sapiens. Sleep periods,},
  file = {/home/fbence/Zotero/storage/K2JF3H2M/Wilson et al. - 2016 - Natural sleep and its seasonal variations in three pre-industrial societies.pdf}
}

@article{worldbankCapacityBuildingAfrica2005,
  title = {Capacity Building in {{Africa}}: An {{OED}} Evaluation of {{World Bank}} Support},
  author = {{World Bank}},
  date = {2005}
}

@article{worobeyDirectEvidenceExtensive2008,
  title = {Direct Evidence of Extensive Diversity of {{HIV-1}} in {{Kinshasa}} by 1960},
  author = {Worobey, Michael and Gemmel, Marlea and Teuwen, Dirk E and Haselkorn, Tamara and Kunstman, Kevin and Bunce, Michael and Muyembe, Jean-Jacques and Kabongo, Jean-Marie M and Kalengayi, Raphaël M and Van Marck, Eric and {Others}},
  date = {2008},
  journaltitle = {Nature},
  volume = {455},
  number = {7213},
  pages = {661--664},
  publisher = {{Nature Publishing Group}}
}

@article{wrigglesworthAccuracyUseTriaxial2011,
  title = {Accuracy of the Use of Triaxial Accelerometry for Measuring Daily Activity as a Predictor of Daily Maintenance Energy Requirement in Healthy Adult {{Labrador Retrievers}}},
  author = {Wrigglesworth, David J. and Mort, Emily S. and Upton, Sarah L. and Miller, Andrew T.},
  date = {2011-09},
  journaltitle = {American Journal of Veterinary Research},
  volume = {72},
  number = {9},
  pages = {1151--1155},
  publisher = {{American Veterinary Medical Association 1931 North Meacham Road, Suite 100, Schaumburg, IL 60173-4360 USA 847-925-8070 847-925-1329 avmajournals@avma.org}},
  issn = {0002-9645},
  doi = {10.2460/ajvr.72.9.1151},
  url = {http://avmajournals.avma.org/doi/abs/10.2460/ajvr.72.9.1151}
}

@report{wuProbabilityEstimatesMulticlass2004,
  title = {Probability {{Estimates}} for {{Multi-class Classification}} by {{Pairwise Coupling}}},
  author = {Wu, Ting-Fan and Lin, Chih-Jen and Weng, Ruby C},
  date = {2004},
  journaltitle = {Journal of Machine Learning Research},
  volume = {5},
  pages = {975--1005},
  abstract = {Pairwise coupling is a popular multi-class classification method that combines all comparisons for each pair of classes. This paper presents two approaches for obtaining class probabilities. Both methods can be reduced to linear systems and are easy to implement. We show conceptually and experimentally that the proposed approaches are more stable than the two existing popular methods: voting and the method by Hastie and Tibshirani (1998).},
  keywords = {Pairwise Coupling,Probability Estimates,Random Forest,Support Vector Machines},
  file = {/home/fbence/Zotero/storage/JHJGNMBS/Wu, Lin, Weng - 2004 - Probability Estimates for Multi-class Classification by Pairwise Coupling.pdf}
}

@article{yadavResidualNetsUnderstanding2019,
  title = {Residual Nets for Understanding Animal Behavior},
  author = {Yadav, S. and Bist, A. S.},
  date = {2019},
  journaltitle = {Journal of Animal Behaviour and Biometeorology},
  volume = {7},
  number = {2},
  pages = {97--103},
  publisher = {{Universidade Federal Rural do Semi-Arido}},
  issn = {23181265},
  doi = {10.31893/2318-1265jabb.v7n2p97-103},
  abstract = {Analysis of animal behavior requires proper algorithms for the extraction of desired information from videos. Animal behavior involves various states like facial expression, body movement etc. With the advancement in hardware, deep learning has become popular for analyzing the complex and large dataset. Deep learning algorithms have proved their significance on the benchmark dataset. In this paper, we used Residual Nets for classifying three-hour video containing egg laying induced activity changes in Drosophila. We obtained 99.5\% accuracy and found significant improvement in accuracy as compared to CNN (Convolutional Neural Networks). Further, it is suggested that this technique can be used for analysis of animal behavior as well as activities of other domain like object detection, speech recognition, and character recognition, among others.},
  keywords = {Animal behavior,Convolutional neural networks,Residual networks},
  file = {/home/fbence/Zotero/storage/BL286DG7/Yadav, Bist - 2019 - Residual nets for understanding animal behavior.pdf}
}

@article{yangFeatureExtractionSelection2020,
  title = {Feature {{Extraction}}, {{Selection}} and {{K-Nearest Neighbors Algorithm}} for {{Shark Behavior Classification Based}} on {{Imbalanced Dataset}}},
  author = {Yang, Yu and Yeh, Hen-Geul and Zhang, Wenlu and Lee, Calvin J. and Meese, Emily N. and Lowe, Christopher G.},
  date = {2020-11},
  journaltitle = {IEEE Sensors Journal},
  pages = {1--1},
  publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  issn = {1530-437X},
  doi = {10.1109/jsen.2020.3038660},
  file = {/home/fbence/Zotero/storage/2IT4XVHL/Yang et al. - 2020 - Feature Extraction, Selection and K-Nearest Neighbors Algorithm for Shark Behavior Classification Based on Imbalanc.pdf}
}

@article{yarkoniBehavioralBrainSciences2021,
  title = {Behavioral and {{Brain Sciences}} (Forthcoming) {{The}} Generalizability Crisis},
  author = {Yarkoni, Tal},
  date = {2021},
  doi = {10.1017/S0140525X20001685},
  url = {https://doi.org/10.1017/S0140525X20001685},
  abstract = {Short abstract: Most theories and hypotheses in psychology are expressed verbally, yet rely on inferential statistical procedures for evaluation. The validity of the move from qualitative to quantitative analysis depends on the verbal and statistical expressions of a scientific proposition being closely aligned. Here I argue that many studies fail to meet this condition and demonstrate that the widespread under-specification of statistical models imposes far stronger constraints on the generalizability of reported results than most researchers appreciate. Long abstract: Most theories and hypotheses in psychology are verbal in nature, yet their evaluation overwhelmingly relies on inferential statistical procedures. The validity of the move from qualitative to quantitative analysis depends on the verbal and statistical expressions of a hypothesis being closely aligned-that is, that the two must refer to roughly the same set of hypothetical observations. Here I argue that many applications of statistical inference in psychology fail to meet this basic condition. Focusing on the most widely used class of model in psychology-the linear mixed model-I explore the consequences of failing to statistically operationalize verbal hypotheses in a way that respects researchers' actual generalization intentions. I demonstrate that whereas the "random effect" formalism is used pervasively in psychology to model inter-subject variability, few researchers accord the same treatment to other variables they clearly intend to generalize over (e.g., stimuli, tasks, or research sites). The under-specification of random effects imposes far stronger constraints on the generalizability of results than most researchers appreciate. Ignoring these constraints can dramatically inflate false positive rates, and often leads researchers to draw sweeping verbal generalizations that lack a meaningful connection to the statistical quantities they are putatively based on. I argue that failure to take the alignment between verbal and statistical expressions seriously lies at the heart of many of psychology's ongoing problems (e.g., the replication crisis), and conclude with a discussion of several potential avenues for improvement.},
  file = {/home/fbence/Zotero/storage/ZGK8TV9U/Yarkoni - 2021 - Behavioral and Brain Sciences (forthcoming) The generalizability crisis.pdf}
}

@article{yetishNaturalSleepIts2015,
  title = {Natural Sleep and Its Seasonal Variations in Three Pre-Industrial Societies},
  author = {Yetish, Gandhi and Kaplan, Hillard and Gurven, Michael and Wood, Brian and Pontzer, Herman and Manger, Paul R. and Wilson, Charles and McGregor, Ronald and Siegel, Jerome M.},
  date = {2015},
  journaltitle = {Current Biology},
  volume = {25},
  number = {21},
  eprint = {26480842},
  eprinttype = {pmid},
  pages = {2862--2868},
  publisher = {{Cell Press}},
  issn = {09609822},
  doi = {10.1016/j.cub.2015.09.046},
  abstract = {How did humans sleep before the modern era? Because the tools to measure sleep under natural conditions were developed long after the invention of the electric devices suspected of delaying and reducing sleep, we investigated sleep in three preindustrial societies [1-3]. We find that all three show similar sleep organization, suggesting that they express core human sleep patterns, most likely characteristic of pre-modern era Homo sapiens. Sleep periods, the times from onset to offset, averaged 6.9-8.5 hr, with sleep durations of 5.7-7.1 hr, amounts near the low end of those industrial societies [4-7]. There was a difference of nearly 1 hr between summer and winter sleep. Daily variation in sleep duration was strongly linked to time of onset, rather than offset. None of these groups began sleep near sunset, onset occurring, on average, 3.3 hr after sunset. Awakening was usually before sunrise. The sleep period consistently occurred during the nighttime period of falling environmental temperature, was not interrupted by extended periods of waking, and terminated, with vasoconstriction, near the nadir of daily ambient temperature. The daily cycle of temperature change, largely eliminated from modern sleep environments, may be a potent natural regulator of sleep. Light exposure was maximal in the morning and greatly decreased at noon, indicating that all three groups seek shade at midday and that light activation of the suprachiasmatic nucleus is maximal in the morning. Napping occurred on \textbackslash textless7\% of days in winter and \textbackslash textless22\% of days in summer. Mimicking aspects of the natural environment might be effective in treating certain modern sleep disorders.},
  file = {/home/fbence/Zotero/storage/RGQK8MTY/Yetish et al. - 2015 - Natural sleep and its seasonal variations in three pre-industrial societies.pdf}
}

@article{yooSLURMSimpleLinux2003,
  title = {{{SLURM}}: {{Simple Linux Utility}} for {{Resource Management}}},
  author = {Yoo, Andy B. and Jette, Morris A. and Grondona, Mark},
  date = {2003},
  journaltitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  volume = {2862},
  pages = {44--60},
  issn = {03029743},
  url = {https://link.springer.com/chapter/10.1007/10968987\{\\_\}3},
  abstract = {A new cluster resource management system called Simple Linux Utility Resource Management (SLURM) is described in this paper. SLURM, initially developed for large Linux clusters at the Lawrence Livermore National Laboratory (LLNL), is a simple cluster manager that can scale to thousands of processors. SLURM is designed to be flexible and fault-tolerant and can be ported to other clusters of different size and architecture with minimal effort. We are certain that SLURM will benefit both users and system architects by providing them with a simple, robust, and highly scalable parallel job execution environment for their cluster system. © Springer-Verlag Berlin Heidelberg 2003.}
}

@inproceedings{zhangLiteratureReviewResearch2020,
  title = {A {{Literature Review}} of the {{Research}} on the {{Uncanny Valley}}},
  booktitle = {Lecture {{Notes}} in {{Computer Science}} (Including Subseries {{Lecture Notes}} in {{Artificial Intelligence}} and {{Lecture Notes}} in {{Bioinformatics}})},
  author = {Zhang, Jie and Li, Shuo and Zhang, Jing Yu and Du, Feng and Qi, Yue and Liu, Xun},
  date = {2020-07},
  volume = {12192 LNCS},
  pages = {255--268},
  publisher = {{Springer}},
  issn = {16113349},
  doi = {10.1007/978-3-030-49788-0_19},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-49788-0\{\\_\}19},
  abstract = {Depend on the development of science and technology, the demands for robots are not only limited to the use of functions but also pay more attention to the emotional experience brought by the products. However, as the robot's appearance approach human-likeness, it makes people uncomfortable, which is called the Uncanny Valley (UV). In this paper, we systematically review the hypothesis and internal mechanisms of UV. Then we focus on the methodological limitations of previous studies, including terms, assessment, and materials. At last, we summarize the applications in interaction design to avoid the uncanny valley and propose future directions.},
  isbn = {978-3-030-49787-3},
  keywords = {Affective design,Human-computer interaction,Human-likeness,Humanoid robots,Uncanny valley},
  file = {/home/fbence/Zotero/storage/3UVARCDF/Zhang et al. - 2020 - A Literature Review of the Research on the Uncanny Valley.pdf}
}