Per Year

@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{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
}