Luiz Fernando Fonsêca Pinheiro de Lima, Danielle Rousy Dias Ricarte, Clauirton de Albuquerque Siebra. An Overview on the Use of Adversarial Learning Strategies to Ensure Fairness in Machine Learning Models. In Rita Cristina Galarraga Berardi, Alexandre Reis Graeml, Valdemar Vicente Graciano Neto, Awdren De Lima Fontão, Williamson Silva, editors, SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16 - 19, 2022. ACM, 2022. [doi]
@inproceedings{LimaRS22,
title = {An Overview on the Use of Adversarial Learning Strategies to Ensure Fairness in Machine Learning Models},
author = {Luiz Fernando Fonsêca Pinheiro de Lima and Danielle Rousy Dias Ricarte and Clauirton de Albuquerque Siebra},
year = {2022},
doi = {10.1145/3535511.3535517},
url = {https://doi.org/10.1145/3535511.3535517},
researchr = {https://researchr.org/publication/LimaRS22},
cites = {0},
citedby = {0},
booktitle = {SBSI: XVIII Brazilian Symposium on Information Systems, Curitiba, Brazil, May 16 - 19, 2022},
editor = {Rita Cristina Galarraga Berardi and Alexandre Reis Graeml and Valdemar Vicente Graciano Neto and Awdren De Lima Fontão and Williamson Silva},
publisher = {ACM},
isbn = {978-1-4503-9698-1},
}