Per Year

7 publications with Google Scholar ID  /  2018–2023  /  Federico Sabbatini
2023  •  2022  •  2021
@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},
   semanticscholar = {259324728},
   title = {Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods},
   url = {https://content.iospress.com/articles/intelligenza-artificiale/ia230001},
   urlopenaccess = {https://cris.unibo.it/retrieve/3a2a510e-9dc5-4b07-b3f7-398cf2f21419/ia-2023-psyke.pdf},
   volume = 17,
   year = 2023
}
1 publication in 2023 with Google Scholar ID • topindexbottom
@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
}
4 publications in 2022 with Google Scholar ID • topindexbottom
@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
}
2 publications in 2021 with Google Scholar ID • topindexbottom