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Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems., , , и . ICMLC, стр. 723-726. IEEE, (2011)Dynamic base classifier pool for classifier selection in Multiple Classifier Systems., , , и . ICMLC, стр. 1093-1096. IEEE, (2011)Depth estimation from a single image using defocus cues., , , и . ICMLC, стр. 1732-1738. IEEE, (2011)A novel defend against good word attacks., , , , и . ICMLC, стр. 1088-1092. IEEE, (2011)Blind steganalysis with high generalization capability for different image databases using L-GEM., , , и . ICMLC, стр. 1690-1695. IEEE, (2011)SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis., , , , , и . AAAI, стр. 12959-12967. AAAI Press, (2023)A stochastic sensitivity-based multi-objective optimization method for short-term wind speed interval prediction., , , , , и . Int. J. Mach. Learn. Cybern., 12 (9): 2579-2590 (2021)Training error and sensitivity-based ensemble feature selection., , , и . Int. J. Mach. Learn. Cybern., 11 (10): 2313-2326 (2020)Structured large margin machines: sensitive to data distributions., , , , и . Mach. Learn., 68 (2): 171-200 (2007)Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach., , , , , и . Neurocomputing, (2020)