CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.
Yang Zhang|Lanyu Shang|Ruohan Zong|Huimin Zeng|Zhenrui Yue|Dong Wang
| Anthology ID: | DBLP:conf/www/ZhangSZZYW23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4050-4059 |
| URL: | https://doi.org/10.1145/3543507.3583871 |
| DOI: | https://doi.org/10.1145/3543507.3583871 |
| DBLP: | conf/www/ZhangSZZYW23 |
| BibTeX: |
@inproceedings{zhang-2023-collabequality,
author = {Yang Zhang and
Lanyu Shang and
Ruohan Zong and
Huimin Zeng and
Zhenrui Yue and
Dong Wang},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {4050--4059},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583871},
doi = {https://doi.org/10.1145/3543507.3583871}
}