Per Year

4 publications with Web of Science ID  /  1927–2024  /  Federico Sabbatini
2024  •  2022  •  2021
 @article{skeislr-acmcs,
    acm = {3645103},
    articleno = 161,
    author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
    doi = {10.1145/3645103},
    eissn = {1557-734},
    iris = {11585/969235},
    issn = {0360-0300},
    journal = {ACM Computing Surveys},
    keywords = {Logic; Machine learning theory; Hybrid symbolic-numeric methods; Knowledge representation and reasoning},
    month = jun,
    number = 6,
    numpages = 35,
    pages = {161:1--161:35},
    publisher = {ACM},
    scholar = {13701373869146776438},
    scopus = {2-s2.0-85188835517},
    semanticscholar = {267611660},
    title = {Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review},
    url = {https://dl.acm.org/doi/10.1145/3645103},
    urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3645103},
    urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3645103},
    volume = 56,
    wos = {WOS:001208566200027},
    year = 2024
} 
1 publication in 2024 with Web of Science 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
} 
2 publications in 2022 with Web of Science ID • topindexbottom
 @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
} 
1 publication in 2021 with Web of Science ID • topindexbottom