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Mobile phone data and COVID-19: Missing an opportunity?, , , , , , , , , и 14 other автор(ы). CoRR, (2020)Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI, , , , , , , , , и 2 other автор(ы). Information Fusion, (2020)How to Make It Faster and at Lower Cost? B2B Integration with Semantic Web Services, , , , , , и . Database and Expert Systems Applications, 2006. DEXA'06. 17th International Workshop on, стр. 334--338. IEEE, (2006)Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI, , , , , , , , , и 2 other автор(ы). (2019)cite arxiv:1910.10045Comment: 67 pages, 13 figures, accepted for its publication in Information Fusion.UPML: The Language and Tool Support for Making the Semantic Web Alive, , , , , , , и . Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential, The MIT Press, Cambridge, Massachusetts, (февраля 2003)Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI., , , , , , , , , и 2 other автор(ы). Inf. Fusion, (2020)Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM, , и . arXiv preprint arXiv:1911.09315, (2019)Actas de las II Jornadas sobre Ontolog\'ıas Web y Semántica, , , и . (2007)A framework and computer system for knowledge-level acquisition, representation, and reasoning with process knowledge, , , , и . International Journal of Human-Computer Studies, 68 (10): 641--668 (2010)Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI., , , , , , , , , и 2 other автор(ы). CoRR, (2019)