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 }