SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment.
Yang Zhang|Ruohan Zong|Lanyu Shang|Huimin Zeng|Zhenrui Yue|Dong Wang
| Anthology ID: | DBLP:conf/www/ZhangZSZY024 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2497-2508 |
| URL: | https://doi.org/10.1145/3589334.3645519 |
| DOI: | https://doi.org/10.1145/3589334.3645519 |
| DBLP: | conf/www/ZhangZSZY024 |
| BibTeX: |
@inproceedings{zhang-2024-symlearn,
author = {Yang Zhang and
Ruohan Zong and
Lanyu Shang and
Huimin Zeng and
Zhenrui Yue and
Dong Wang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2497--2508},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645519},
doi = {https://doi.org/10.1145/3589334.3645519}
}