@inproceedings{vicinity-ximl2023,
address = {Krakov, Poland},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 3rd International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2023)},
title = {Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques},
year = 2023
} @inproceedings{exact-kodis2023,
address = {Rhodes, Greece},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 2nd International Workshop on Knowledge Diversity (KoDis 2023)},
title = {{ExACT} Explainable Clustering: Unravelling the Intricacies of Cluster Formation},
year = 2023
} @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
} @incollection{clustering-extraamas2023,
address = {London, UK},
author = {Sabbatini, Federico and Calegari, Roberta},
doi = {10.1007/978-3-031-40877-9},
editor = {Calvaresi, Davide and Najjar, Amro and Omicini, Andrea and Aydoǧan, Reyhan and Carli, Rachele and Ciatto, Giovanni and Mualla, Yazan and Främling, Kary},
isbn = {978-3-031-40877-9},
issn = {0302-9743},
keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Clustering},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors},
url = {http://link.springer.com/10.1007/978-3-031-40877-9},
volume = 14127,
year = 2023
} @inproceedings{cream-kr2023,
address = {Rhodes, Greece},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {20th International Conference on Principles of Knowledge Representation and Reasoning},
doi = {10.24963/kr.2023/58},
editor = {Pierre Marquis and Tran Cao Son and Gabriele Kern-Isberner},
iris = {11585/893144},
isbn = {978-1-956792-02-7},
issn = {2334-1033},
keywords = {Explainable AI, Applications that combine KR with machine learning, Integrating knowledge representation and machine learning, KR and machine learning, inductive logic programming, knowledge acquisition},
month = aug,
pages = {593--603},
publisher = {IJCAI Organization},
scopus = {2-s2.0-85176733868},
title = {Explainable Clustering with CREAM},
url = {https://proceedings.kr.org/2023/58/},
urlpdf = {https://proceedings.kr.org/2023/58/kr2023-0058-sabbatini-et-al.pdf},
year = 2023
} @inproceedings{creepy-beware2023,
address = {Rome, Italy},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2023)},
title = {Unveiling Opaque Predictors via Explainable Clustering: The {CReEPy} Algorithm},
year = 2023
} @article{psyketrust-aixia2022,
address = {Cham, Switzerland},
author = {Calegari, Roberta and Federico, Sabbatini},
booktitle = {AIxIA 2022},
doi = {10.1007/978-3-031-27181-6_1},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
eisbn = {978-3-031-27181-6},
institution = {University of Udine},
isbn = {978-3-031-27180-9},
issn = {0302-9743},
location = {Udine, Italy},
month = mar,
note = {XXI International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 -- December 2, 2022, Proceedings},
numpages = 14,
pages = {3--16},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {The {PSyKE} Technology for Trustworthy Artificial Intelligence},
url = {https://doi.org/10.1007/978-3-031-27181-6_1},
volume = 13796,
year = 2023
} @inproceedings{explainableclustering-woa2023,
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {WOA 2023 -- 24th Workshop ``From Objects to Agents''},
editor = {Rino Falcone and Cristiano Castelfranchi and Alessandro Sapienza and Filippo Cantucci},
iris = {11585/952626},
issn = {1613-0073},
keywords = {Explainable clustering, Explainable artificial intelligence, Symbolic knowledge extraction, PSyKE},
month = nov,
numpages = 14,
pages = {232--245},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
scopus = {2-s2.0-85179624285},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents},
url = {https://ceur-ws.org/Vol-3579/paper18.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3579/paper18.pdf},
urlpdf = {https://ceur-ws.org/Vol-3579/paper18.pdf},
volume = 3579,
year = 2023
} @inproceedings{fire-ecai2023,
address = {Krakov, Poland},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023)},
doi = {10.3233/FAIA230496},
eissn = {978-1-64368-437-6 },
iris = {11585/952617},
pages = {2033--2040},
editor = {Kobi Gal and Ann Nowé and Grzegorz J. Nalepa and Roy Fairstein and Roxana Rădulescu},
scopus = {2-s2.0-85175827763},
series = {Frontiers in Artificial Intelligence and Applications},
subseries = {ECAI 2023},
title = {Symbolic Knowledge-Extraction Evaluation Metrics: The {FiRe} Score},
url = {https://ebooks.iospress.nl/doi/10.3233/FAIA230496},
volume = 372,
year = 2023
}
9 publications in 2023 without ACM ID •
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bottom @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{gridrex-kr2022,
address = {Haifa, Israel},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {19th International Conference on Principles of Knowledge Representation and Reasoning (KR 2022)},
doi = {10.24963/kr.2022/57},
editor = {Kern-Isberner, Gabriele and Lakemeyer, Gerhard and Meyer, Thomas},
iris = {11585/893144},
isbn = {978-1-956792-01-0},
issn = {2334-1033},
keywords = {Explainable AI, Integrating knowledge representation and machine learning, Integrating symbolic and sub-symbolic approaches, Applications of KR},
month = {July 31--August 5},
pages = {554--563},
publisher = {IJCAI Organization},
title = {Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: {GridREx} {\&} {PEDRO}},
url = {https://proceedings.kr.org/2022/57/},
year = 2022
} @inproceedings{cluster-ske-xlokr2022,
address = {Haifa, Israel},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {XLoKR 2022 - Third Workshop on Explainable Logic-Based Knowledge Representation},
keywords = {Explainable AI; Symbolic knowledge extraction; Clustering},
month = {July 31},
title = {Clustering-Based Approaches for Symbolic Knowledge Extraction},
url = {https://arxiv.org/abs/2211.00234},
year = 2022
}
6 publications in 2022 without ACM ID •
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bottom @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 without ACM ID •
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1 publication in 2020 without ACM ID •
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bottom @article{Armano_2018,
doi = {10.3847/1538-4357/aaa774},
url = {https://doi.org/10.3847/1538-4357/aaa774},
year = 2018,
month = {feb},
publisher = {American Astronomical Society},
volume = {854},
number = {2},
pages = {113},
author = {Armano, M. and Audley, H. and Baird, J. and Bassan, M. and Benella, S. and Binetruy, P. and Born, M. and Bortoluzzi, D. and Cavalleri, A. and Cesarini, A. and Cruise, A. M. and Danzmann, K. and de Deus Silva, K. and Diepholz, I. and Dixon, G. and Dolesi, R. and Fabi, M. and Ferraioli, L. and Ferroni, V. and Finetti, N. and Fitzsimons, E. D. and Freschi, M. and Gesa, L. and Gibert, F. and Giardini, D. and Giusteri, R. and Grimani, C. and Grzymisch, J. and Harrison, I. and Heinzel, G. and Hewitson, M. and Hollington, D. and Hoyland, D. and Hueller, M. and Inchausp{\'{e}}, H. and Jennrich, O. and Jetzer, P. and Karnesis, N. and Kaune, B. and Korsakova, N. and Killow, C. J. and Laurenza, M. and Lobo, J. A. and Lloro, I. and Liu, L. and L{\'{o}}pez-Zaragoza, J. P. and Maarschalkerweerd, R. and Mance, D. and Mart{\'{\i}}n, V. and Martin-Polo, L. and Martino, J. and Martin-Porqueras, F. and Mateos, I. and McNamara, P. W. and Mendes, J. and Mendes, L. and Nofrarias, M. and Paczkowski, S. and Perreur-Lloyd, M. and Petiteau, A. and Pivato, P. and Plagnol, E. and Ramos-Castro, J. and Reiche, J. and Robertson, D. I. and Rivas, F. and Russano, G. and Sabbatini, Federico and Slutsky, J. and Sopuerta, C. F. and Sumner, T. and Tellon, D. and Texier, D. and Thorpe, J. I. and Vetrugno, D. and Vitale, S. and Wanner, G. and Ward, H. and Wass, P. and Weber, W. J. and Wissel, L. and Wittchen, A. and Zambotti, A. and Zanoni, C. and Zweifel, P.},
title = {Characteristics and Energy Dependence of Recurrent Galactic Cosmic-Ray Flux Depressions and of a Forbush Decrease with {LISA} Pathfinder},
journal = {The Astrophysical Journal},
abstract = {Galactic cosmic-ray (GCR) energy spectra observed in the inner heliosphere are modulated by the solar activity, the solar polarity and structures of solar and interplanetary origin. A high counting rate particle detector (PD) aboard LISA Pathfinder, meant for subsystems diagnostics, was devoted to the measurement of GCR and solar energetic particle integral fluxes above 70 MeV n−1 up to 6500 counts s−1. PD data were gathered with a sampling time of 15 s. Characteristics and energy dependence of GCR flux recurrent depressions and of a Forbush decrease dated 2016 August 2 are reported here. The capability of interplanetary missions, carrying PDs for instrument performance purposes, in monitoring the passage of interplanetary coronal mass ejections is also discussed.}
}
1 publication in 2018 without ACM ID •
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0000-0002-0532-6777