Per Year

@inproceedings{fauci-aequitas2024,
   articleno = 8,
   author = {Magnini, Matteo and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
   booktitle = {AEQUITAS 2024: Fairness and Bias in AI},
   dblp = {conf/aequitas/MagniniCCO24},
   editor = {Calegari, Roberta and Dignum, Virginia and O'Sullivan, Barry},
   iris = {11585/995740},
   keywords = {AI Fairness, FaUCI, in-processing, regularization, mitigation},
   month = oct,
   note = {Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024)},
   numpages = 13,
   pages = {8:1--8:13},
   publisher = {CEUR-WS},
   scholar = {12743200180573703475},
   scopus = {2-s2.0-85210042328},
   series = {CEUR Workshop Proceedings},
   title = {Enforcing Fairness via Constraint Injection with {FaUCI}},
   url = {https://ceur-ws.org/Vol-3808/paper8.pdf},
   urlopenaccess = {https://ceur-ws.org/Vol-3808/paper8.pdf},
   urlpdf = {https://ceur-ws.org/Vol-3808/paper8.pdf},
   volume = 3808,
   year = 2024
}

@article{skemetrics-aaai2023,
   address = {San Francisco, California},
   author = {Sabbatini, Federico and Calegari, Roberta},
   booktitle = {AAAI 2023 Spring Symposium Series},
   doi = {10.1007/s43681-023-00406-1},
   iris = {11585/995844},
   journal = {AI \& Ethics},
   keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Readability metrics; AutoML},
   month = mar,
   publisher = {Springer Nature},
   title = {On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes},
   year = 2023
}