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} }