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
}