José María Valls

According to our database, José María Valls authored at least 41 papers between 2000 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

2020

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

2017

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

2016

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

2014

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

Proceedings of the Intelligent Distributed Computing VIII, 2014

2012

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

Ricardo Aler, Inés María Galván, José María Valls

Inf. Sci., 2012

Evolving linear transformations with a rotation-angles/scaling representation.

Alejandro Echeverría, José María Valls, Ricardo Aler

Expert Syst. Appl., 2012

2011

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

Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Antonio J. Nebro, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Enrique Alba, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido

Soft Comput., 2011

A lazy learning approach for building classification models.

Inés María Galván, José María Valls, Miguel García, Pedro Isasi

Int. J. Intell. Syst., 2011

Time series prediction evolving Voronoi regions.

Cristóbal Luque, José María Valls, Pedro Isasi

Appl. Intell., 2011

2010

Evolving spatial and frequency selection filters for Brain-Computer Interfaces.

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Programming Robosoccer agents by modeling human behavior.

Ricardo Aler, José María Valls, David Camacho, Alberto López

Expert Syst. Appl., 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

Optimizing Linear and Quadratic Data Transformations for Classification Tasks.

José María Valls, Ricardo Aler

Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Lazy Approach for Machine Learning Algorithms.

Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Optimizing Data Transformations for Classification Tasks.

José María Valls, Ricardo Aler

Proceedings of the Intelligent Data Engineering and Automated Learning, 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

Proceedings of the Genetic Programming, 12th European Conference, 2009

Two-layered evolutionary forecasting for IPO underpricing.

Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Transition Detection for Brain Computer Interface Classification.

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the Biomedical Engineering Systems and Technologies, 2009

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

Ricardo Aler, Inés María Galván, José María Valls

Proceedings of the BIOSIGNALS 2009, 2009

2008

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

José María Valls, Inés María Galván, Pedro Isasi Viñuela

Neurocomputing, 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

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

Francisco Luna, César Estébanez, Coromoto León, José Manuel Chaves-González, Enrique Alba, Ricardo Aler, Carlos Segura, Miguel A. Vega-Rodríguez, Antonio J. Nebro, José María Valls, Gara Miranda, Juan Antonio Gómez Pulido

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

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

Evolving Generalized Euclidean Distances for Training RBNN.

José María Valls, Ricardo Aler, Oscar Fernández

Comput. Artif. Intell., 2007

LRBNN: A Lazy Radial Basis Neural Network model.

José María Valls, Inés María Galván, Pedro Isasi

AI Commun., 2007

Time Series Forecasting by means of Evolutionary Algorithms.

Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

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

Lazy Training of Radial Basis Neural Networks.

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the Artificial Neural Networks, 2006

Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks.

César Estébanez, José María Valls, Ricardo Aler

Proceedings of the Genetic Programming, 9th European Conference, 2006

2005

Genetic Programming Based Data Projections for Classification Tasks.

César Estébanez, Ricardo Aler, José María Valls

Proceedings of the International Enformatika Conference, 2005

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

José María Valls, Ricardo Aler, Oscar Fernández

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.

César Estébanez, José María Valls, Ricardo Aler, Inés María Galván

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Correcting and improving imitation models of humans for Robosoccer agents.

Ricardo Aler, Oscar Garcia, José María Valls

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

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

2003

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

Pedro Isasi, José María Valls, Inés María Galván

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

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

José María Valls, Inés María Galván, Pedro Isasi

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

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

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

José M. Molina, Inés María Galván, José María Valls, Andrés Leal

Comput. Artif. Intell., 2001

Deferring the Learning for Better Generalization in Radial Basis Neural Networks.

José María Valls, Pedro Isasi, Inés María Galván

Proceedings of the Artificial Neural Networks, 2001

2000

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

José María Valls, José M. Molina, Inés María Galván

Inteligencia Artif., 2000