Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas. - José María Valls; José M. Molina 001; Inés María Galván (Inteligencia Artif., 2000)

Deferring the Learning for Better Generalization in Radial Basis Neural Networks. - José María Valls; Pedro Isasi; Inés María Galván (ICANN, 2001)

Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System. - José M. Molina 001; Inés María Galván; José María Valls; Andrés Leal (Comput. Artif. Intell., 2001)

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. - Inés María Galván; Pedro Isasi; Ricardo Aler; José María Valls (Int. J. Neural Syst., 2001)

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. - José María Valls; Inés María Galván; Pedro Isasi (Applied Informatics, 2003)

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. - Pedro Isasi; José María Valls; Inés María Galván (IWANN (1), 2003)

Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. - José María Valls; Inés María Galván; Pedro Isasi (Neural Process. Lett., 2004)

Correcting and improving imitation models of humans for Robosoccer agents. - Ricardo Aler; Oscar Garcia; José María Valls (Congress on Evolutionary Computation, 2005)

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. - César Estébanez; José María Valls; Ricardo Aler; Inés María Galván (ICANN (1), 2005)

Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. - José María Valls; Ricardo Aler; Oscar Fernández (IWANN, 2005)

Genetic Programming Based Data Projections for Classification Tasks. - César Estébanez; Ricardo Aler; José María Valls (IEC (Prague), 2005)

Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. - César Estébanez; José María Valls; Ricardo Aler (EuroGP, 2006)

Lazy Training of Radial Basis Neural Networks. - José María Valls; Inés María Galván; Pedro Isasi (ICANN (1), 2006)

Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. - José María Valls; Inés María Galván; Pedro Isasi Viñuela (Comput. Artif. Intell., 2006)

Time Series Forecasting by means of Evolutionary Algorithms. - Cristóbal Luque del Arco-Calderón; José María Valls; Pedro Isasi Viñuela (IPDPS, 2007)

LRBNN: A Lazy Radial Basis Neural Network model. - José María Valls; Inés María Galván; Pedro Isasi (AI Commun., 2007)

Evolving Generalized Euclidean Distances for Training RBNN. - José María Valls; Ricardo Aler; Oscar Fernández (Comput. Artif. Intell., 2007)

A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. - César Estébanez; Ricardo Aler; José María Valls (Int. J. Comput. Sci. Appl., 2007)

Metaheuristics for solving a real-world frequency assignment problem in GSM networks. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Enrique Alba 001; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Antonio J. Nebro; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (GECCO, 2008)

GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. - César Estébanez; José María Valls; Ricardo Aler (Appl. Intell., 2008)

Learning radial basis neural networks in a lazy way: A comparative study. - José María Valls; Inés María Galván; Pedro Isasi Viñuela (Neurocomputing, 2008)

Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. - Ricardo Aler; Inés María Galván; José María Valls (BIOSIGNALS, 2009)

Transition Detection for Brain Computer Interface Classification. - Ricardo Aler; Inés María Galván; José María Valls (BIOSTEC (Selected Papers), 2009)

Two-layered evolutionary forecasting for IPO underpricing. - Cristóbal Luque; David Quintana; José María Valls; Pedro Isasi (IEEE Congress on Evolutionary Computation, 2009)

An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. - César Estébanez; Ricardo Aler; José María Valls; Pablo Alonso 002 (EuroGP, 2009)

Optimizing Data Transformations for Classification Tasks. - José María Valls; Ricardo Aler (IDEAL, 2009)

A Lazy Approach for Machine Learning Algorithms. - Inés María Galván; José María Valls; Nicolas Lecomte; Pedro Isasi (AIAI, 2009)

Optimizing Linear and Quadratic Data Transformations for Classification Tasks. - José María Valls; Ricardo Aler (ISDA, 2009)

Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]. - Ricardo Aler; José María Valls; David Camacho; Alberto López (Expert Syst. Appl., 2009)

Programming Robosoccer agents by modeling human behavior. - Ricardo Aler; José María Valls; David Camacho; Alberto López (Expert Syst. Appl., 2009)

Evolving spatial and frequency selection filters for Brain-Computer Interfaces. - Ricardo Aler; Inés María Galván; José María Valls (IEEE Congress on Evolutionary Computation, 2010)

Time series prediction evolving Voronoi regions. - Cristóbal Luque; José María Valls; Pedro Isasi (Appl. Intell., 2011)

A lazy learning approach for building classification models. - Inés María Galván; José María Valls; Miguel García; Pedro Isasi (Int. J. Intell. Syst., 2011)

Optimization algorithms for large-scale real-world instances of the frequency assignment problem. - Francisco Luna 001; César Estébanez; Coromoto León; José Manuel Chaves-González; Antonio J. Nebro; Ricardo Aler; Carlos Segura; Miguel A. Vega-Rodríguez; Enrique Alba 001; José María Valls; Gara Miranda; Juan Antonio Gómez Pulido (Soft Comput., 2011)

Evolving linear transformations with a rotation-angles/scaling representation. - Alejandro Echeverría; José María Valls; Ricardo Aler (Expert Syst. Appl., 2012)

Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. - Ricardo Aler; Inés María Galván; José María Valls (Inf. Sci., 2012)

A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. - Ricardo Aler; Ricardo Martín; José María Valls; Inés María Galván (IDC, 2014)

Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. - R. Martin; Ricardo Aler; José María Valls; Inés María Galván (Concurr. Comput. Pract. Exp., 2016)

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. - Inés María Galván; José María Valls; Alejandro Cervantes; Ricardo Aler (Inf. Sci., 2017)

Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. - Ricardo Aler; José María Valls; Henrik Boström (Expert Syst. Appl., 2020)

Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. - José María Valls; Ricardo Aler; Inés María Galván; David Camacho (J. Ambient Intell. Humaniz. Comput., 2021)