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Evaluating the effects of signal segmentation on activity recognition., , , , , , и . IWBBIO, стр. 759-765. Copicentro Editorial, (2014)Advances in bioinformatics using soft-computing paradigms., , , , , , , , и . IWBBIO, стр. 1634-1643. Copicentro Editorial, (2014)Hybridization of intelligent techniques and ARIMA models for time series prediction., , , , , , , и . Fuzzy Sets Syst., 159 (7): 821-845 (2008)Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error., , , , и . ICANN (2), том 5769 из Lecture Notes in Computer Science, стр. 406-415. Springer, (2009)Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling., , , , и . Neurocomputing, 73 (10-12): 1965-1975 (2010)Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of machine learning., , , , и . Neural Comput. Appl., 34 (7): 5715-5728 (2022)Multigrid-based fuzzy systems for time series prediction: CATS competition., , , , , , и . Neurocomputing, 70 (13-15): 2410-2425 (2007)Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems., , , , , и . Neurocomputing, 72 (16-18): 3541-3555 (2009)Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation., , , , , и . Australian Conference on Artificial Intelligence, том 4304 из Lecture Notes in Computer Science, стр. 1127-1132. Springer, (2006)Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm., , , , и . FUZZ-IEEE, стр. 1-6. IEEE, (2013)