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},
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
}
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
}
@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
}
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
}
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
}
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
}
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
}
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
}
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
}