Mariachiara Mecati, Andrea Adrignola, Antonio Vetrò, Marco Torchiano. Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 4700-4709, IEEE, 2022. [doi]
@inproceedings{MecatiAVT22,
title = {Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness},
author = {Mariachiara Mecati and Andrea Adrignola and Antonio Vetrò and Marco Torchiano},
year = {2022},
doi = {10.1109/BigData55660.2022.10021078},
url = {https://doi.org/10.1109/BigData55660.2022.10021078},
researchr = {https://researchr.org/publication/MecatiAVT22},
cites = {0},
citedby = {0},
pages = {4700-4709},
booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
publisher = {IEEE},
isbn = {978-1-6654-8045-1},
}