Alessandro Simonetta, Tsuyoshi Nakajima, Maria Cristina Paoletti, Alessio Venticinque. Fairness Metrics and Maximum Completeness for the Prediction of Discrimination. In Tsuyoshi Nakajima, Toshihiro Komiyama, Eunjong Choi, Erina Makihara, Hironori Washizaki, editors, Joint Short Paper Proceedings of the 4th International Workshop on Experience with SQuaRE Series and Its Future Direction, and 1st Asia-Pacific Software Engineering and Diversity, Equity, and Inclusion Workshop co-located with 29th Asia-Pacific Software Engineering Conference (APSEC 2022), Tokyo, Dec 6, 2022. Volume 3356 of CEUR Workshop Proceedings, pages 13-20, CEUR-WS.org, 2022. [doi]
@inproceedings{SimonettaNPV22,
title = {Fairness Metrics and Maximum Completeness for the Prediction of Discrimination},
author = {Alessandro Simonetta and Tsuyoshi Nakajima and Maria Cristina Paoletti and Alessio Venticinque},
year = {2022},
url = {https://ceur-ws.org/Vol-3356/paper-04.pdf},
researchr = {https://researchr.org/publication/SimonettaNPV22},
cites = {0},
citedby = {0},
pages = {13-20},
booktitle = {Joint Short Paper Proceedings of the 4th International Workshop on Experience with SQuaRE Series and Its Future Direction, and 1st Asia-Pacific Software Engineering and Diversity, Equity, and Inclusion Workshop co-located with 29th Asia-Pacific Software Engineering Conference (APSEC 2022), Tokyo, Dec 6, 2022},
editor = {Tsuyoshi Nakajima and Toshihiro Komiyama and Eunjong Choi and Erina Makihara and Hironori Washizaki},
volume = {3356},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}