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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)Improving the interpretability of data-driven evolving fuzzy systems., , и . EUSFLAT Conf., стр. 28-33. Universidad Polytecnica de Catalunya, (2005)Modeling and control with neural networks for a magnetic levitation system., , , , , и . Neurocomputing, (2017)Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems., , , , и . FUZZ-IEEE, стр. 2263-2269. IEEE, (2006)Approximation of incoherent probabilities., и . Int. J. Approx. Reason., (2019)DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm., , , , и . Soft Comput., 19 (12): 3551-3569 (2015)Robust unsupervised domain adaptation for neural networks via moment alignment, , , , , и . Information Sciences, (мая 2019)Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations., , , , , и . Inf. Fusion, (2014)The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions., , , и . Comput. Intell. Neurosci., (2018)DEVDAN: Deep evolving denoising autoencoder., , , и . Neurocomputing, (2020)