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Editorial of the special issue: Online fuzzy machine learning and data mining., , и . Inf. Sci., (2013)Modeling and control with neural networks for a magnetic levitation system., , , , , и . Neurocomputing, (2017)Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis., и . Int. J. General Systems, 37 (1): 45-67 (2008)Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends"., , и . Soft Comput., 19 (12): 3353-3355 (2015)Machine learning based analysis of gender differences in visual inspection decision making., , , , и . Inf. Sci., (2013)DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm., , , , и . Soft Comput., 19 (12): 3551-3569 (2015)Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems., , , , и . FUZZ-IEEE, стр. 2263-2269. IEEE, (2006)Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems.. Inf. Sci., (2021)Assessor-Guided Learning for Continual Environments., , , , и . CoRR, (2023)Metacognitive learning approach for online tool condition monitoring., , , и . J. Intell. Manuf., 30 (4): 1717-1737 (2019)