Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, FCA4AI@IJCAI 2019, Macao, China, August 10, 2019 - researchr publication

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Sergei O. Kuznetsov, Amedeo Napoli, Sebastian Rudolph, editors, Proceedings of the 7th International Workshop "What can FCA do for Artificial Intelligence"? co-located with International Joint Conference on Artificial Intelligence, FCA4AI@IJCAI 2019, Macao, China, August 10, 2019. Volume 2529 of CEUR Workshop Proceedings, CEUR-WS.org, 2020. [doi]

Conference: IJCAI2020

Abstract is missing.

Enabling Natural Language Analytics over Relational Data Using Formal Concept AnalysisC. Anantaram, Mouli Rastogi, Mrinal Rawat, Pratik Saini. 7-18 [doi]

Using Formal Concept Analysis to Explain Black Box Deep Learning Classification ModelsAmit Sangroya, C. Anantaram, Mrinal Rawat, Mouli Rastogi. 19-26 [doi]

Validating Correctness of Textual Explanation with Complete Discourse TreesBoris Galitsky, Dmitry I. Ilvovsky. 29-38 [doi]

Least General Generalization of the Linguistic StructuresBoris Galitsky, Dmitry I. Ilvovsky. 39-44 [doi]

Truth and Justification in Knowledge RepresentationAndrei Rodin, Serge Kovalyov. 45-56 [doi]

FCA-based Approach to Machine LearningDmitry V. Vinogradov. 57-64 [doi]

Clustering of Biomedical Data Using the Greedy Clustering Algorithm Based on Interval Pattern ConceptsAlexey V. Galatenko, Stepan A. Nersisyan, Vera V. Pankratieva. 65-74 [doi]

Increasing the Efficiency of Packet Classifiers with Closed DescriptionsElizaveta F. Goncharova, Sergei O. Kuznetsov. 75-86 [doi]

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