Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain.

Junru Zhang|Lang Feng|Yang He|Yuhan Wu|Yabo Dong


Anthology ID:DBLP:conf/cikm/ZhangFHWD23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3351-3360
URL:https://doi.org/10.1145/3583780.3615076
DOI:https://doi.org/10.1145/3583780.3615076
DBLP:conf/cikm/ZhangFHWD23
BibTeX:
@inproceedings{zhang-2023-temporal, author = {Junru Zhang and Lang Feng and Yang He and Yuhan Wu and Yabo Dong}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {3351--3360}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615076}, doi = {https://doi.org/10.1145/3583780.3615076} }