José María Valls

41 papers A 2B 5C 3Misc 3Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems.
J. Ambient Intell. Humaniz. Comput.
José María Valls, Ricardo Aler, Inés María Galván, David Camacho
2020 J jnl
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets.
Expert Syst. Appl.
Ricardo Aler, José María Valls, Henrik Boström
2017 J jnl
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks.
Inf. Sci.
Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler
2016 J jnl
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models.
Concurr. Comput. Pract. Exp.
R. Martin, Ricardo Aler, José María Valls, Inés María Galván
2014 Misc conf
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models.
IDC
Ricardo Aler, Ricardo Martín, José María Valls, Inés María Galván
2012 J jnl
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces.
Inf. Sci.
Ricardo Aler, Inés María Galván, José María Valls
2012 J jnl
Evolving linear transformations with a rotation-angles/scaling representation.
Expert Syst. Appl.
Alejandro Echeverría, José María Valls, Ricardo Aler
2011 J jnl
A lazy learning approach for building classification models.
Int. J. Intell. Syst.
Inés María Galván, José María Valls, Miguel García, Pedro Isasi
2011 J jnl
Optimization algorithms for large-scale real-world instances of the frequency assignment problem.
Soft Comput.
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
2011 J jnl
Time series prediction evolving Voronoi regions.
Appl. Intell.
Cristóbal Luque, José María Valls, Pedro Isasi
2010 B conf
Evolving spatial and frequency selection filters for Brain-Computer Interfaces.
IEEE Congress on Evolutionary Computation
Ricardo Aler, Inés María Galván, José María Valls
2009 Misc conf
A Lazy Approach for Machine Learning Algorithms.
AIAI
Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi
2009 B conf
An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover.
EuroGP
César Estébanez, Ricardo Aler, José María Valls, Pablo Alonso
2009 J jnl
Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859].
Expert Syst. Appl.
Ricardo Aler, José María Valls, David Camacho, Alberto López
2009 — conf
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window.
BIOSIGNALS
Ricardo Aler, Inés María Galván, José María Valls
2009 C conf
Optimizing Data Transformations for Classification Tasks.
IDEAL
José María Valls, Ricardo Aler
2009 C conf
Optimizing Linear and Quadratic Data Transformations for Classification Tasks.
ISDA
José María Valls, Ricardo Aler
2009 J jnl
Programming Robosoccer agents by modeling human behavior.
Expert Syst. Appl.
Ricardo Aler, José María Valls, David Camacho, Alberto López
2009 — conf
Transition Detection for Brain Computer Interface Classification.
BIOSTEC (Selected Papers)
Ricardo Aler, Inés María Galván, José María Valls
2009 B conf
Two-layered evolutionary forecasting for IPO underpricing.
IEEE Congress on Evolutionary Computation
Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi
2008 J jnl
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains.
Appl. Intell.
César Estébanez, José María Valls, Ricardo Aler
2008 J jnl
Learning radial basis neural networks in a lazy way: A comparative study.
Neurocomputing
José María Valls, Inés María Galván, Pedro Isasi Viñuela
2008 A conf
Metaheuristics for solving a real-world frequency assignment problem in GSM networks.
GECCO
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
2007 J jnl
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems.
Int. J. Comput. Sci. Appl.
César Estébanez, Ricardo Aler, José María Valls
2007 J jnl
Evolving Generalized Euclidean Distances for Training RBNN.
Comput. Artif. Intell.
José María Valls, Ricardo Aler, Oscar Fernández
2007 J jnl
LRBNN: A Lazy Radial Basis Neural Network model.
AI Commun.
José María Valls, Inés María Galván, Pedro Isasi
2007 A conf
Time Series Forecasting by means of Evolutionary Algorithms.
IPDPS
Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela
2006 J jnl
Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function.
Comput. Artif. Intell.
José María Valls, Inés María Galván, Pedro Isasi Viñuela
2006 — conf
Lazy Training of Radial Basis Neural Networks.
ICANN (1)
José María Valls, Inés María Galván, Pedro Isasi
2006 B conf
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks.
EuroGP
César Estébanez, José María Valls, Ricardo Aler
2005 — conf
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification.
ICANN (1)
César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
2005 B conf
Correcting and improving imitation models of humans for Robosoccer agents.
Congress on Evolutionary Computation
Ricardo Aler, Oscar Garcia, José María Valls
2005 — conf
Genetic Programming Based Data Projections for Classification Tasks.
IEC (Prague)
César Estébanez, Ricardo Aler, José María Valls
2005 Misc conf
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks.
IWANN
José María Valls, Ricardo Aler, Oscar Fernández
2004 J jnl
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.
Neural Process. Lett.
José María Valls, Inés María Galván, Pedro Isasi
2003 — conf
A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks.
IWANN (1)
Pedro Isasi, José María Valls, Inés María Galván
2003 — conf
How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks.
Applied Informatics
José María Valls, Inés María Galván, Pedro Isasi
2001 J jnl
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks.
Int. J. Neural Syst.
Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
2001 C conf
Deferring the Learning for Better Generalization in Radial Basis Neural Networks.
ICANN
José María Valls, Pedro Isasi, Inés María Galván
2001 J jnl
Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System.
Comput. Artif. Intell.
José M. Molina, Inés María Galván, José María Valls, Andrés Leal
2000 J jnl
Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas.
Inteligencia Artif.
José María Valls, José M. Molina, Inés María Galván