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Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends".

, , and . Soft Comput., 19 (12): 3353-3355 (2015)

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Modeling and control with neural networks for a magnetic levitation system., , , , , and . Neurocomputing, (2017)Improving the interpretability of data-driven evolving fuzzy systems., , and . EUSFLAT Conf., page 28-33. Universidad Polytecnica de Catalunya, (2005)Robust unsupervised domain adaptation for neural networks via moment alignment, , , , , and . Information Sciences, (May 2019)MapView: Graphical Data Representation for Active Learning., , , , , , , and . AL@iKNOW, volume 1707 of CEUR Workshop Proceedings, page 3-8. CEUR-WS.org, (2016)Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends"., , and . Soft Comput., 19 (12): 3353-3355 (2015)DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm., , , , and . Soft Comput., 19 (12): 3551-3569 (2015)Approximation of incoherent probabilities., and . Int. J. Approx. Reason., (2019)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)The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions., , , and . Comput. Intell. Neurosci., (2018)