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MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.

, , , , , and . ESANN, page 127-132. (2004)

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Kernel Methods Applied to Time Series Forecasting., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 782-789. Springer, (2007)Output value-based initialization for radial basis function neural networks., , , , , , and . Neural Process. Lett., 25 (3): 209-225 (2007)Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error., , , , and . ICANN (2), volume 5769 of Lecture Notes in Computer Science, page 406-415. Springer, (2009)Global and local modelling in RBF networks., , , , , and . Neurocomputing, 74 (16): 2594-2602 (2011)Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling., , , , and . Neurocomputing, 73 (10-12): 1965-1975 (2010)Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis., , , , and . Int. J. Intell. Syst., 31 (2): 153-172 (2016)Hybridization of intelligent techniques and ARIMA models for time series prediction., , , , , , , and . Fuzzy Sets Syst., 159 (7): 821-845 (2008)Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion., , , , , , and . BMC Bioinform., 22 (1): 454 (2021)Multigrid-based fuzzy systems for time series prediction: CATS competition., , , , , , and . Neurocomputing, 70 (13-15): 2410-2425 (2007)Evaluating the effects of signal segmentation on activity recognition., , , , , , and . IWBBIO, page 759-765. Copicentro Editorial, (2014)