Per Year

@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
}