MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation.
Xin Wang|Ling Feng|Huijun Zhang|Lei Cao|Kaisheng Zeng|Qi Li|Yang Ding|Yi Dai|David A. Clifton
| Anthology ID: | DBLP:conf/www/WangFZCZL0DC25 |
|---|---|
| Volume: | 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: | 1866-1876 |
| URL: | https://doi.org/10.1145/3696410.3714901 |
| DOI: | https://doi.org/10.1145/3696410.3714901 |
| DBLP: | conf/www/WangFZCZL0DC25 |
| BibTeX: |
@inproceedings{wang-2025-mise,
author = {Xin Wang and
Ling Feng and
Huijun Zhang and
Lei Cao and
Kaisheng Zeng and
Qi Li and
Yang Ding and
Yi Dai and
David A. Clifton},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{MISE: Meta-knowledge Inheritance for Social Media-Based Stressor Estimation}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {1866--1876},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714901},
doi = {https://doi.org/10.1145/3696410.3714901}
}