ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.

Mingyue Cheng|Jiqian Yang|Tingyue Pan|Qi Liu|Zhi Li|Shijin Wang


Anthology ID:DBLP:conf/www/ChengYP00W25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:171-180
URL:https://doi.org/10.1145/3701716.3715214
DOI:https://doi.org/10.1145/3701716.3715214
DBLP:conf/www/ChengYP00W25
BibTeX:
@inproceedings{cheng-2025-convtimenet, author = {Mingyue Cheng and Jiqian Yang and Tingyue Pan and Qi Liu and Zhi Li and Shijin Wang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {171--180}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715214}, doi = {https://doi.org/10.1145/3701716.3715214} }