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
| Anthology ID: | DBLP:conf/wsdm/HsiehWSH21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 607-615 |
| URL: | https://doi.org/10.1145/3437963.3441815 |
| DOI: | https://doi.org/10.1145/3437963.3441815 |
| DBLP: | conf/wsdm/HsiehWSH21 |
| BibTeX: |
@inproceedings{hsieh-2021-explainable,
author = {Tsung-Yu Hsieh and
Suhang Wang and
Yiwei Sun and
Vasant G. Honavar},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {607--615},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441815},
doi = {https://doi.org/10.1145/3437963.3441815}
}