A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation. - Ginés Rubio; Héctor Pomares (IWANN, 2005)

A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases. - Ginés Rubio; Héctor Pomares; Ignacio Rojas; Alberto Guillén (IWINAC (2), 2005)

On Incorporating Seasonal Information on Recursive Time Series Predictors. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio (ICANN (2), 2007)

Kernel Methods Applied to Time Series Forecasting. - Ginés Rubio; Héctor Pomares; Luis Javier Herrera; Ignacio Rojas (IWANN, 2007)

Applying Mutual Information for Prototype or Instance Selection in Regression Problems. - Alberto Guillén; Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Amaury Lendasse; Ignacio Rojas (ESANN, 2009)

Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems. - Alberto Guillén; Antti Sorjamaa; Ginés Rubio; Amaury Lendasse; Ignacio Rojas (ICANN (1), 2009)

Strengthening the Forward Variable Selection Stopping Criterion. - Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Ben Paechter; Alberto Guillén; Ignacio Rojas (ICANN (2), 2009)

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. - Ginés Rubio; Héctor Pomares; Ignacio Rojas; Luis Javier Herrera; Alberto Guillén (ICANN (2), 2009)

Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. - Ginés Rubio; Alberto Guillén; Héctor Pomares; Ignacio Rojas; Ben Paechter; Peter Glösekötter; C. I. Torres-Ceballos (HPCS, 2009)

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. - José Miguel Urquiza Ortiz; Ignacio Rojas Ruiz; Héctor Pomares; Luis Javier Herrera; Ginés Rubio; J. P. Florido (ISCIS, 2009)

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. - Alberto Guillén; A. M. Trujillo; Samuel F. Romero; Ginés Rubio; Ignacio Rojas Ruiz; Héctor Pomares; Luis Javier Herrera; José F. Guillén (ISDA, 2009)

Global and Local Modelling in Radial Basis Functions Networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (IWANN (1), 2009)

Creation of Specific-to-Problem Kernel Functions for Function Approximation. - Ginés Rubio; Héctor Pomares; Ignacio Rojas; Alberto Guillén (IWANN (1), 2009)

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; J. P. Florido; Ginés Rubio; Luis Javier Herrera; José C. Calvo; Julio Ortega Lopera (IWANN (1), 2009)

Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem. - Alberto Guillén; Ginés Rubio; I. Toda; Antonio J. Rivera; Héctor Pomares; Ignacio Rojas Ruiz (Expert Syst. Appl., 2010)

New method for instance or prototype selection using mutual information in time series prediction. - Alberto Guillén; Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Amaury Lendasse; Ignacio Rojas (Neurocomputing, 2010)

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. - Ginés Rubio; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén (Neurocomputing, 2010)

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. - Alberto Guillén; F. G. del Moral; Luis Javier Herrera; Ginés Rubio; Ignacio Rojas; Olga Valenzuela; Héctor Pomares (Neural Comput. Appl., 2010)

Global and local modelling in RBF networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (Neurocomputing, 2011)