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{skeislr-csur56,
    acm = {3645103},
    articleno = 161,
    author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
    dblp = {journals/csur/CiattoSAMO24},
    doi = {10.1145/3645103},
    eissn = {1557-734},
    iris = {11585/969235},
    issn = {0360-0300},
    journal = {ACM Computing Surveys},
    keywords = {Logic; Machine learning theory; Hybrid symbolic-numeric methods; Knowledge representation and reasoning},
    month = jun,
    number = 6,
    numpages = 35,
    pages = {161:1--161:35},
    publisher = {ACM},
    scholar = {13701373869146776438},
    scopus = {2-s2.0-85188835517},
    semanticscholar = {267611660},
    title = {Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review},
    url = {https://dl.acm.org/doi/10.1145/3645103},
    urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3645103},
    urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3645103},
    volume = 56,
    wos = {WOS:001208566200027},
    year = 2024
} 

 @inproceedings{skidatadegradation-woa2024,
    author = {Rafanelli, Andrea and Magnini, Matteo and Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {WOA 2024 -- 25th Workshop ``From Objects to Agents 2024''},
    dblp = {conf/woa/RafanelliMACO24},
    editor = {Alderighi, Marco and Baldoni, Matteo and Baroglio, Cristina and Micalizio, Roberto and Tedeschi, Stefano},
    iris = {11585/975934},
    issn = {1613-0073},
    keywords = {Symbolic Knowledge Injection, Robustness, Neural Networks},
    location = {Bard, AO, Italy},
    month = jul,
    numpages = 13,
    pages = {20--32},
    publisher = {Sun SITE Central Europe, RWTH Aachen University},
    scholar = {9917174396528512749},
    scopus = {2-s2.0-85200118300},
    series = {CEUR Workshop Proceedings},
    subseries = {AIxIA Series},
    title = {An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation},
    url = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
    urlopenaccess = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
    urlpdf = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
    volume = 3735,
    year = 2024
}