@InProceedings{yu_et_al:LIPIcs.SAT.2024.30, author = {Yu, Jinqiang and Farr, Graham and Ignatiev, Alexey and Stuckey, Peter J.}, title = {{Anytime Approximate Formal Feature Attribution}}, booktitle = {27th International Conference on Theory and Applications of Satisfiability Testing (SAT 2024)}, pages = {30:1--30:23}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-334-8}, ISSN = {1868-8969}, year = {2024}, volume = {305}, editor = {Chakraborty, Supratik and Jiang, Jie-Hong Roland}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SAT.2024.30}, URN = {urn:nbn:de:0030-drops-205526}, doi = {10.4230/LIPIcs.SAT.2024.30}, annote = {Keywords: Explainable AI, Formal Feature Attribution, Minimal Unsatisfiable Subsets, MUS Enumeration} }
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