PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation.
Ching Chang|Ming-Chih Lo|Wen-Chih Peng|Tien-Fu Chen
| Anthology ID: | DBLP:conf/cikm/0001LPC25 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 209-220 |
| URL: | https://doi.org/10.1145/3746252.3761142 |
| DOI: | https://doi.org/10.1145/3746252.3761142 |
| DBLP: | conf/cikm/0001LPC25 |
| BibTeX: |
@inproceedings{chang-2025-prompttss,
author = {Ching Chang and
Ming-Chih Lo and
Wen-Chih Peng and
Tien-Fu Chen},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{PromptTSS: A Prompting-Based Approach for Interactive Multi-Granularity Time Series Segmentation}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {209--220},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761142},
doi = {https://doi.org/10.1145/3746252.3761142}
}