Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals

Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar. Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals. In Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich, editors, WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021. pages 607-615, ACM, 2021. [doi]

@inproceedings{HsiehWSH21,
  title = {Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals},
  author = {Tsung-Yu Hsieh and Suhang Wang and Yiwei Sun and Vasant G. Honavar},
  year = {2021},
  doi = {10.1145/3437963.3441815},
  url = {https://doi.org/10.1145/3437963.3441815},
  researchr = {https://researchr.org/publication/HsiehWSH21},
  cites = {0},
  citedby = {0},
  pages = {607-615},
  booktitle = {WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021},
  editor = {Liane Lewin-Eytan and David Carmel and Elad Yom-Tov and Eugene Agichtein and Evgeniy Gabrilovich},
  publisher = {ACM},
  isbn = {978-1-4503-8297-7},
}