Learning Saliency Maps to Explain Deep Time Series Classifiers.
Prathyush S. Parvatharaju|Ramesh Doddaiah|Thomas Hartvigsen|Elke A. Rundensteiner
| Anthology ID: | DBLP:conf/cikm/ParvatharajuDHR21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1406-1415 |
| URL: | https://doi.org/10.1145/3459637.3482446 |
| DOI: | https://doi.org/10.1145/3459637.3482446 |
| DBLP: | conf/cikm/ParvatharajuDHR21 |
| BibTeX: |
@inproceedings{parvatharaju-2021-learning,
author = {Prathyush S. Parvatharaju and
Ramesh Doddaiah and
Thomas Hartvigsen and
Elke A. Rundensteiner},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Learning Saliency Maps to Explain Deep Time Series Classifiers}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {1406--1415},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482446},
doi = {https://doi.org/10.1145/3459637.3482446}
}