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} }