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Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems.. Inf. Sci., (2021)Robust unsupervised domain adaptation for neural networks via moment alignment, , , , , and . Information Sciences, (May 2019)Reliable All-Pairs Evolving Fuzzy Classifiers., and . IEEE Trans. Fuzzy Syst., 21 (4): 625-641 (2013)DEVDAN: Deep evolving denoising autoencoder., , , and . Neurocomputing, (2020)Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems., , , , and . FUZZ-IEEE, page 2263-2269. IEEE, (2006)Approximation of incoherent probabilities., and . Int. J. Approx. Reason., (2019)Editorial of the special issue: Online fuzzy machine learning and data mining., , and . Inf. Sci., (2013)Modeling and control with neural networks for a magnetic levitation system., , , , , and . Neurocomputing, (2017)Machine learning based analysis of gender differences in visual inspection decision making., , , , and . Inf. Sci., (2013)DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm., , , , and . Soft Comput., 19 (12): 3551-3569 (2015)