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Sharing Semantic Resources, and . (August 2007)Optimizing Partition Granularity, Membership Function Parameters, and Rule Bases of Fuzzy Classifiers for Big Data by a Multi-objective Evolutionary Approach., , , and . Cogn. Comput., 11 (3): 367-387 (2019)A News-Based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting., , , , , and . ACM Trans. Knowl. Discov. Data, 16 (6): 125:1-125:29 (2022)The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G., , , , , , , , , and 13 other author(s). IEEE Access, (2023)Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework., , , and . Int. J. Approx. Reason., 50 (7): 1066-1080 (2009)Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models., , , , , , and . XAI.it@AI*IA, volume 3277 of CEUR Workshop Proceedings, page 104-117. CEUR-WS.org, (2022)Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression., , , , and . xAI (1), volume 1901 of Communications in Computer and Information Science, page 630-648. Springer, (2023)Feature Selection Based on Fuzzy Mutual Information., , and . WILF, volume 8256 of Lecture Notes in Computer Science, page 36-43. Springer, (2013)Context Adaptation of Mamdani Fuzzy Systems through New Operators Tuned by a Genetic Algorithm., , and . FUZZ-IEEE, page 1641-1648. IEEE, (2006)Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems., , and . FUZZ-IEEE, page 1-7. IEEE, (2010)