José María Valls

发表

Lazy Training of Radial Basis Neural Networks

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2006, ICANN.

Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks

José María Valls, Ricardo Aler, César Estébanez, 2006, EuroGP.

GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains

José María Valls, Ricardo Aler, César Estébanez, 2008, Applied Intelligence.

Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models

Inés María Galván, R. Martin, José María Valls, 2016, Concurr. Comput. Pract. Exp..

Deferring the Learning for Better Generalization in Radial Basis Neural Networks

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2001, ICANN.

Evolving linear transformations with a rotation-angles/scaling representation

José María Valls, Ricardo Aler, A. Echeverría, 2012, Expert Syst. Appl..

Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2006, Comput. Artif. Intell..

Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System

José M. Molina López, Inés María Galván, José María Valls, 2001, Comput. Artif. Intell..

Two-layered evolutionary forecasting for IPO underpricing

José María Valls, Pedro Isasi Viñuela, David Quintana, 2009, 2009 IEEE Congress on Evolutionary Computation.

A Lazy Approach for Machine Learning Algorithms

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2009, AIAI.

Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces

Inés María Galván, José María Valls, Ricardo Aler, 2012, Inf. Sci..

A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models

Inés María Galván, José María Valls, Ricardo Aler, 2014, IDC.

Optimizing Linear and Quadratic Data Transformations for Classification Tasks

José María Valls, Ricardo Aler, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Evolving spatial and frequency selection filters for Brain-Computer Interfaces

Inés María Galván, José María Valls, Ricardo Aler, 2010, IEEE Congress on Evolutionary Computation.

Time Series Forecasting by means of Evolutionary Algorithms

José María Valls, Pedro Isasi Viñuela, Cristóbal Luque del Arco-Calderón, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Genetic Programming Based Data Projections for Classification Tasks

José María Valls, Ricardo Aler, César Estébanez, 2007, IEC.

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification

Inés María Galván, José María Valls, Ricardo Aler, 2005, ICANN.

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks

Inés María Galván, José María Valls, Ricardo Aler, 2017, Inf. Sci..

Optimizing Data Transformations for Classification Tasks

José María Valls, Ricardo Aler, 2009, IDEAL.

Correcting and improving imitation models of humans for Robosoccer agents

José María Valls, Oscar Garcia, Ricardo Aler, 2005, 2005 IEEE Congress on Evolutionary Computation.

Metaheuristics for solving a real-world frequency assignment problem in GSM networks

Gara Miranda, Carlos Segura, Coromoto León, 2008, GECCO '08.

Learning radial basis neural networks in a lazy way: A comparative study

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2008, Neurocomputing.

Optimization algorithms for large-scale real-world instances of the frequency assignment problem

Enrique Alba, Francisco Luna, Gara Miranda, 2010, Soft Comput..

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2001, Int. J. Neural Syst..

Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks

José María Valls, Ricardo Aler, Oscar Fernández, 2005, IWANN.

Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas

José M. Molina López, Inés María Galván, José María Valls, 2000, Inteligencia Artif..

A lazy learning approach for building classification models

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2011, Int. J. Intell. Syst..

LRBNN: A Lazy Radial Basis Neural Network model

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2007, AI Commun..

How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2003, Applied Informatics.

Evolving Generalized Euclidean Distances for Training RBNN

José María Valls, Ricardo Aler, Oscar Fernández, 2007, Comput. Artif. Intell..

Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2004, Neural Processing Letters.

Programming Robosoccer agents by modeling human behavior

José María Valls, Ricardo Aler, David Camacho, 2009, Expert Syst. Appl..

Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window

Inés María Galván, José María Valls, Ricardo Aler, 2009, BIOSIGNALS.

Transition Detection for Brain Computer Interface Classification

Inés María Galván, José María Valls, Ricardo Aler, 2009, BIOSTEC.

Time series prediction evolving Voronoi regions

José María Valls, Pedro Isasi Viñuela, Cristóbal Luque del Arco-Calderón, 2009, Applied Intelligence.

An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover

José María Valls, Ricardo Aler, César Estébanez, 2009, EuroGP.

A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks

Inés María Galván, José María Valls, Pedro Isasi Viñuela, 2003, IWANN.

Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]

José María Valls, Ricardo Aler, David Camacho, 2009, Expert Syst. Appl..