Facing Many Objectives for Fairness in Machine Learning

David Villar, Jorge Casillas. Facing Many Objectives for Fairness in Machine Learning. In Ana C. R. Paiva, Ana Rosa Cavalli, Paula Ventura Martins, Ricardo Pérez-Castillo, editors, Quality of Information and Communications Technology - 14th International Conference, QUATIC 2021, Algarve, Portugal, September 8-11, 2021, Proceedings. Volume 1439 of Communications in Computer and Information Science, pages 373-386, Springer, 2021. [doi]

@inproceedings{VillarC21,
  title = {Facing Many Objectives for Fairness in Machine Learning},
  author = {David Villar and Jorge Casillas},
  year = {2021},
  doi = {10.1007/978-3-030-85347-1_27},
  url = {https://doi.org/10.1007/978-3-030-85347-1_27},
  researchr = {https://researchr.org/publication/VillarC21},
  cites = {0},
  citedby = {0},
  pages = {373-386},
  booktitle = {Quality of Information and Communications Technology - 14th International Conference, QUATIC 2021, Algarve, Portugal, September 8-11, 2021, Proceedings},
  editor = {Ana C. R. Paiva and Ana Rosa Cavalli and Paula Ventura Martins and Ricardo Pérez-Castillo},
  volume = {1439},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-85347-1},
}