Per Year

 @article{hypercubeske-ia17,
    author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
    dblp = {journals/ia/SabbatiniCCO23},
    doi = {10.3233/IA-230001},
    editor = {Ferrando, Angelo and Mascardi, Viviana},
    iris = {11585/941033},
    journal = {Intelligenza Artificiale},
    keywords = {explainable AI, knowledge extraction, interpretable prediction, PSyKE},
    month = jun,
    note = {Special issue: Selected papers from the 23rd Workshop ``From Objects to Agents'' (WOA 2022)},
    number = 1,
    numpages = 13,
    pages = {63--75},
    publisher = {IOS Press},
    scholar = {14669296704428238758},
    scopus = {2-s2.0-85168332389},
    title = {Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods},
    url = {https://content.iospress.com/articles/intelligenza-artificiale/ia230001},
    volume = 17,
    year = 2023
} 

 @article{psyke-ia16,
    author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
    dblp = {journals/ia/SabbatiniCCO22},
    doi = {10.3233/IA-210120},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
    eissn = {2211-0097},
    iris = {11585/890822},
    issn = {1724-8035},
    journal = {Intelligenza Artificiale},
    keywords = {Explainable AI, knowledge extraction, interpretable prediction, PSyKE},
    month = jul,
    number = 1,
    numpages = 22,
    pages = {27--48},
    publisher = {IOS Press},
    scholar = {7559675640918015038},
    scopus = {2-s2.0-85134193338},
    semanticscholar = {250400188},
    title = {Symbolic knowledge extraction from opaque {ML} predictors in {PSyKE}: Platform design \& experiments},
    url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
    volume = 16,
    wos = {WOS:000825367300003},
    year = 2022
} 

 @incollection{swpsyke-extraamas2022,
    author = {Sabbatini, Federico and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {Explainable and Transparent AI and Multi-Agent Systems},
    chapter = 8,
    dblp = {conf/atal/SabbatiniCO22},
    doi = {10.1007/978-3-031-15565-9_8},
    editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Främling, Kary},
    iris = {11585/899474},
    isbn = {978-3-031-15564-2},
    keywords = {Symbolic Knowledge Injection, Explainable AI, XAI, Neural Networks, PSyKI},
    numpages = 19,
    pages = {124--142},
    publisher = {Springer},
    scholar = {11339767386934277898},
    scopus = {2-s2.0-85140488560},
    series = {Lecture Notes in Computer Science},
    subtitle = {4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers},
    title = {Semantic Web-Based Interoperability for Intelligent Agents with {PSyKE}},
    url = {http://link.springer.com/10.1007/978-3-031-15565-9_8},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-15565-9_8.pdf},
    volume = 13283,
    wos = {WOS:000870042100008},
    year = 2022
} 

 @inproceedings{skemetrics-xaifin2022,
    address = {New York, NY, USA},
    author = {Sabbatini, Federico and Calegari, Roberta},
    booktitle = {Workshop on Explainable AI in Finance @ICAIF 2022},
    doi = {10.48550/arXiv.2211.00238},
    keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Readability metrics; AutoML},
    month = {November 2},
    scholar = {5021962022669458541},
    semanticscholar = {253244189},
    title = {Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper},
    url = {https://arxiv.org/abs/2211.00238},
    urlopenaccess = {https://arxiv.org/abs/2211.00238},
    year = 2022
} 

 @incollection{hypercube-woa2022,
    author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
    booktitle = {WOA 2022 -- 23rd Workshop ``From Objects to Agents''},
    dblp = {conf/woa/SabbatiniCCO22},
    editor = {Ferrando, Angelo and Mascardi, Viviana},
    iris = {11585/899358},
    issn = {1613-0073},
    keywords = {Explainable AI; Knowledge extraction; Interpretable prediction; PSyKE},
    month = nov,
    numpages = 13,
    pages = {48--60},
    publisher = {Sun SITE Central Europe, RWTH Aachen University},
    scholar = {8614662013642803891},
    scopus = {2-s2.0-85142519111},
    semanticscholar = {253270041},
    series = {CEUR Workshop Proceedings},
    subseries = {AIxIA Series},
    title = {Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model},
    url = {http://ceur-ws.org/Vol-3261/paper4.pdf},
    urlopenaccess = {http://ceur-ws.org/Vol-3261/paper4.pdf},
    urlpdf = {http://ceur-ws.org/Vol-3261/paper4.pdf},
    volume = 3261,
    year = 2022
} 

 @inproceedings{psyke-woa2021,
    articleno = 3,
    author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
    booktitle = {WOA 2021 -- 22nd Workshop ``From Objects to Agents''},
    dblp = {conf/woa/SabbatiniCCO21},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Denti, Enrico and Omicini, Andrea and Sartor, Giovanni},
    iris = {11585/834364},
    issn = {1613-0073},
    keywords = {explainable AI, knowledge extraction, interpretable prediction, PSyKE},
    location = {Bologna, Italy},
    month = oct,
    note = {22nd Workshop ``From Objects to Agents'' (WOA 2021), Bologna, Italy, 1--3~} # sep # {~2021. Proceedings},
    numpages = 20,
    pages = {29--48},
    publisher = {Sun SITE Central Europe, RWTH Aachen University},
    scholar = {879185583484020388},
    scopus = {2-s2.0-85116894019},
    series = {CEUR Workshop Proceedings},
    subseries = {AI*IA Series},
    title = {On the Design of {PSyKE}: A Platform for Symbolic Knowledge Extraction},
    url = {http://ceur-ws.org/Vol-2963/paper14.pdf},
    volume = 2963,
    year = 2021
} 

 @incollection{gridex-extraamas2021,
    address = {Cham, Switzerland},
    author = {Sabbatini, Federico and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {Explainable and Transparent AI and Multi-Agent Systems. Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3--7, 2021, Revised Selected Papers},
    dblp = {conf/atal/SabbatiniCO21},
    doi = {10.1007/978-3-030-82017-6_2},
    editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Främling, Kary},
    eisbn = {978-3-030-82017-6},
    eissn = {1611-3349},
    iris = {11585/834616},
    isbn = {978-3-030-82016-9},
    issn = {0302-9743},
    keywords = {Explainable AI; Knowledge extraction; Interpretable prediction; Regression; Iter; GridEx},
    month = jul,
    numpages = 21,
    pages = {18--38},
    publisher = {Springer Nature},
    scholar = {855045469053426346},
    scopus = {2-s2.0-85113335454},
    series = {Lecture Notes in Computer Science},
    subseries = {Lecture Notes in Artificial Intelligence},
    title = {{GridEx}: An Algorithm for Knowledge Extraction from Black-Box Regressors},
    url = {http://link.springer.com/10.1007/978-3-030-82017-6_2},
    urlopenaccess = {https://cris.unibo.it/retrieve/handle/11585/834616/830237/extraamas-2021-iter.pdf},
    urlpdf = {https://link.springer.com/content/pdf/10.1007%2F978-3-030-82017-6_2.pdf},
    volume = 12688,
    wos = {000691781800002},
    year = 2021
}