ICDM 2019 Time Series.md

• Discovering Semantic Motifs in the Time Series

• Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile

• Discovering Subdimensional Motifs of Different Length in Large-Scale Multivariate Time Series

• Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets

• A Wasserstein Subsequence Kernel for Time Series

  • GitHub

• MTEX-CNN: Multivariate Time series EXplanations for Predictions with Convolutional Neural Networks

• Triple-shapelet Networks for Time Series Classification