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A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers., , , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2017)An Approach to Federated Learning of Explainable Fuzzy Regression Models., , , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2022)Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks., , , , , и . FUZZ, стр. 1-8. IEEE, (2023)Towards Trustworthy AI for QoE prediction in B5G/6G Networks., , , , , , , и . AI6G@WCCI, том 3189 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Hoeffding Regression Trees for Forecasting Quality of Experience in B5G/6G Networks., , , , и . OLUD@WCCI, том 3380 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Towards Automatic Classification of Sheet Music., , , и . SEBD, том 2646 из CEUR Workshop Proceedings, стр. 266-277. CEUR-WS.org, (2020)Online Monitoring of Stance from Tweets: The case of Green Pass in Italy., , , , , и . EAIS, стр. 1-8. IEEE, (2022)Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.. University of Pisa, Italy, (2009)A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems., , , и . HIS, стр. 278-283. IEEE Computer Society, (2008)FDBSCAN-APT: A Fuzzy Density-based Clustering Algorithm with Automatic Parameter Tuning., , , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2020)