Per anno

 @proceedings{proceedings-cilc2022,
    address = {Bologna, Italy},
    dblp = {conf/cilc/2022},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
    iris = {11585/899538},
    issn = {1613-0073},
    note = {37th Italian Conference on Computational Logic (CILC 2022), Bologna, Italy, 29~} # jun # {--1~} # jul # {~2022. Proceedings},
    numpages = 3,
    publisher = {CEUR-WS},
    scholar = {2685358200094686924},
    series = {CEUR Workshop Proceedings},
    subseries = {AI*IA Series},
    title = { {CILC 2022} -- {I}talian {C}onference on {C}omputational {L}ogic },
    url = {http://ceur-ws.org/Vol-3204/},
    volume = 3204,
    year = 2022
} 

 @article{woa2021editorial-ia16,
    author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
    dblp = {journals/ia/CalegariCOV22},
    doi = {10.3233/IA-220141},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
    eissn = {2211-0097},
    iris = {11585/890645},
    issn = {1724-8035},
    journal = {Intelligenza Artificiale},
    month = jul,
    note = {Editorial},
    number = 1,
    numpages = 3,
    pages = {3--5},
    publisher = {IOS Press},
    scholar = {6709418487090647027},
    scopus = {2-s2.0-85134154125},
    semanticscholar = {250399907},
    title = {Special Issue for the 22nd {W}orkshop ``{F}rom {O}bjects to {A}gents'' ({WOA} 2021)},
    url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
    urlopenaccess = {https://content.iospress.com/download/intelligenza-artificiale/ia220141?id=intelligenza-artificiale/ia220141},
    volume = 16,
    wos = {WOS:000825367300001},
    year = 2022
} 

 @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
} 

 @inproceedings{preface-cilc2022,
    author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
    booktitle = {CILC 2022 -- Italian Conference on Computational Logic},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
    iris = {11585/899481},
    issn = {1613-0073},
    keywords = {neural network; explainable AI; symbolic knowledge injection; KINS; PSyKI},
    location = {Bologna, Italy},
    numpages = 2,
    pages = {i--ii},
    publisher = {CEUR-WS},
    scholar = {3420577376460146552},
    scopus = {2-s2.0-85138309193},
    series = {CEUR Workshop Proceedings},
    subseries = {AI*IA Series},
    title = {Preface -- {P}roceedings of the 37th {I}talian {C}onference on {C}omputational {L}ogic ({CILC 2022})},
    url = {http://ceur-ws.org/Vol-3204/xpreface.pdf},
    urlopenaccess = {http://ceur-ws.org/Vol-3204/xpreface.pdf},
    urlpdf = {http://ceur-ws.org/Vol-3204/xpreface.pdf},
    volume = 3204,
    year = 2022
} 

 @article{arg2p-jlc32,
    author = {Calegari, Roberta and Pisano, Giuseppe and Omicini, Andrea and Sartor, Giovanni},
    dblp = {journals/logcom/CalegariOPS22},
    doi = {10.1093/logcom/exab089},
    editors = {Calimeri, Francesco and Perri, Simona and Zumpano. Ester},
    iris = {11585/877812},
    issn = {0955-792X},
    journal = {Journal of Logic and Computation},
    keywords = {Arg2P, intelligent systems engineering, explainable intelligent systems, logic-based technology, argumentation, defeasible reasoning, multi-agent systems},
    month = mar,
    note = {{S}pecial {I}ssue from the 35th Italian Conference on Computational Logic ({CILC} 2020)},
    number = 2,
    pages = {369--401},
    publisher = {Oxford University Press},
    scholar = {7687317421217944977},
    scopus = {2-s2.0-85126283334},
    title = {{Arg\textsf{2}P}: An argumentation framework for explainable intelligent systems},
    url = {https://academic.oup.com/logcom/article-abstract/32/2/369/6513341},
    volume = 32,
    wos = {000762067600009},
    year = 2022
} 

 @incollection{burdenofpersuasion-aixia2021,
    address = {Cham},
    author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea and Sartor, Giovanni},
    booktitle = {AIxIA 2021 -- Advances in Artificial Intelligence},
    dblp = {conf/aiia/PisanoCOS21},
    doi = {10.1007/978-3-031-08421-8_8},
    editor = {Bandini, Stefania and Gasparini, Francesca and Mascardi, Viviana and Palmonari, Matteo and Vizzari, Giuseppe},
    iris = {11585/893244},
    isbn = {978-3-031-08421-8},
    keywords = {Burdens of persuasion · Argumentation · Meta-argumentation},
    location = {Milan, Italy},
    month = jul,
    pages = {104--119},
    publisher = {Springer International Publishing},
    scholar = {17799901578643288638},
    scopus = {2-s2.0-85135015182},
    series = {Lecture Notes in Computer Science},
    subseries = {AI*IA Series},
    title = {Burden of Persuasion in Meta-argumentation},
    url = {http://link.springer.com/10.1007/978-3-031-08421-8_8},
    urlopenaccess = {https://cris.unibo.it/retrieve/005890bb-146a-4ab9-9b0b-63a7032c6e9d/AIxIA2021-METABP.pdf},
    urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-08421-8_8.pdf},
    volume = 13196,
    wos = {WOS:000876859300008},
    year = 2022
} 

 @article{woa2021specialissue-ia16,
    author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
    editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
    eissn = {2211-0097},
    iris = {11585/890644},
    issn = {1724-8035},
    journal = {Intelligenza Artificiale},
    month = jul,
    note = {Special Issue},
    number = 1,
    publisher = {IOS Press},
    scholar = {14076350362719309270},
    title = {Selected papers from the 22nd {W}orkshop ``{F}rom {O}bjects to {A}gents'' ({WOA} 2021)},
    url = {https://content.iospress.com/articles/intelligenza-artificiale/ia161s1},
    urlopenaccess = {https://content.iospress.com/download/intelligenza-artificiale/ia161s1?id=intelligenza-artificiale%2Fia161s1},
    volume = 16,
    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
}