Framework for Bias Detection in Machine Learning Models: A Fairness Approach.
Alveiro Alonso Rosado Gomez|Maritza Liliana Calderón-Benavides
| Anthology ID: | DBLP:conf/wsdm/GomezC24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1152-1154 |
| URL: | https://doi.org/10.1145/3616855.3635731 |
| DOI: | https://doi.org/10.1145/3616855.3635731 |
| DBLP: | conf/wsdm/GomezC24 |
| BibTeX: |
@inproceedings{gomez-2024-framework,
author = {Alveiro Alonso Rosado Gomez and
Maritza Liliana Calder\'{o}n-Benavides},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Framework for Bias Detection in Machine Learning Models: A Fairness Approach}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1152--1154},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635731},
doi = {https://doi.org/10.1145/3616855.3635731}
}