A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.

Audrey Der|Chin-Chia Michael Yeh|Xin Dai|Huiyuan Chen|Yan Zheng|Yujie Fan|Zhongfang Zhuang|Vivian Lai|Junpeng Wang|Liang Wang|Wei Zhang|Eamonn J. Keogh


Anthology ID:DBLP:conf/cikm/DerYDC0FZL000K24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3719-3723
URL:https://doi.org/10.1145/3627673.3679870
DOI:https://doi.org/10.1145/3627673.3679870
DBLP:conf/cikm/DerYDC0FZL000K24
BibTeX:
@inproceedings{der-2024-systematic, author = {Audrey Der and Chin-Chia Michael Yeh and Xin Dai and Huiyuan Chen and Yan Zheng and Yujie Fan and Zhongfang Zhuang and Vivian Lai and Junpeng Wang and Liang Wang and Wei Zhang and Eamonn J. Keogh}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {3719--3723}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679870}, doi = {https://doi.org/10.1145/3627673.3679870} }