José María Valls

Publication Activity (10 Years)

Years Active: 2000-2021
Publications (10 Years): 4

Top Topics

Linear Transformations

Top Venues

Expert Syst. Appl.

Concurr. Comput. Pract. Exp.

J. Ambient Intell. Humaniz. Comput.

Publications

José María Valls, Ricardo Aler, Inés María Galván, David Camacho
Supervised data transformation and dimensionality reduction with a 3-layer multi-layer perceptron for classification problems. J. Ambient Intell. Humaniz. Comput. 12 (12) (2021)
Ricardo Aler, José María Valls, Henrik Boström
Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets. Expert Syst. Appl. 149 (2020)
Inés María Galván, José María Valls, Alejandro Cervantes, Ricardo Aler
Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Inf. Sci. 418 (2017)
R. Martin, Ricardo Aler, José María Valls, Inés María Galván
Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Concurr. Comput. Pract. Exp. 28 (4) (2016)
Ricardo Aler, Ricardo Martín, José María Valls, Inés María Galván
A Study of Machine Learning Techniques for Daily Solar Energy Forecasting Using Numerical Weather Models. IDC (2014)
Alejandro Echeverría, José María Valls, Ricardo Aler
Evolving linear transformations with a rotation-angles/scaling representation. Expert Syst. Appl. 39 (3) (2012)
Ricardo Aler, Inés María Galván, José María Valls
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. Inf. Sci. 215 (2012)
Inés María Galván, José María Valls, Miguel García, Pedro Isasi
A lazy learning approach for building classification models. Int. J. Intell. Syst. 26 (8) (2011)
Cristóbal Luque, José María Valls, Pedro Isasi
Time series prediction evolving Voronoi regions. Appl. Intell. 34 (1) (2011)
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
Optimization algorithms for large-scale real-world instances of the frequency assignment problem. Soft Comput. 15 (5) (2011)
Ricardo Aler, Inés María Galván, José María Valls
Evolving spatial and frequency selection filters for Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation (2010)
Ricardo Aler, Inés María Galván, José María Valls
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS (2009)
Ricardo Aler, José María Valls, David Camacho, Alberto López
Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36 (2) (2009)
Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi
A Lazy Approach for Machine Learning Algorithms. AIAI (2009)
José María Valls, Ricardo Aler
Optimizing Data Transformations for Classification Tasks. IDEAL (2009)
Ricardo Aler, José María Valls, David Camacho, Alberto López
Corrigendum "Programming Robosoccer agents by modeling human behavior" [Experts Systems with Applications 36 (2P1) (2009) 1850-1859]. Expert Syst. Appl. 36 (9) (2009)
Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi
Two-layered evolutionary forecasting for IPO underpricing. IEEE Congress on Evolutionary Computation (2009)
César Estébanez, Ricardo Aler, José María Valls, Pablo Alonso
An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover. EuroGP (2009)
Ricardo Aler, Inés María Galván, José María Valls
Transition Detection for Brain Computer Interface Classification. BIOSTEC (Selected Papers) (2009)
José María Valls, Ricardo Aler
Optimizing Linear and Quadratic Data Transformations for Classification Tasks. ISDA (2009)
César Estébanez, José María Valls, Ricardo Aler
GPPE: a method to generate ad-hoc feature extractors for prediction in financial domains. Appl. Intell. 29 (2) (2008)
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
Metaheuristics for solving a real-world frequency assignment problem in GSM networks. GECCO (2008)
José María Valls, Inés María Galván, Pedro Isasi Viñuela
Learning radial basis neural networks in a lazy way: A comparative study. Neurocomputing 71 (13-15) (2008)
José María Valls, Ricardo Aler, Oscar Fernández
Evolving Generalized Euclidean Distances for Training RBNN. Comput. Artif. Intell. 26 (1) (2007)
José María Valls, Inés María Galván, Pedro Isasi
LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20 (2) (2007)
César Estébanez, Ricardo Aler, José María Valls
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems. Int. J. Comput. Sci. Appl. 4 (1) (2007)
Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela
Time Series Forecasting by means of Evolutionary Algorithms. IPDPS (2007)
José María Valls, Inés María Galván, Pedro Isasi Viñuela
Improving the Generalization Ability of RBNN Using a Selective Strategy Based on the Gaussian Kernel Function. Comput. Artif. Intell. 25 (1) (2006)
José María Valls, Inés María Galván, Pedro Isasi
Lazy Training of Radial Basis Neural Networks. ICANN (1) (2006)
César Estébanez, José María Valls, Ricardo Aler
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP (2006)
César Estébanez, Ricardo Aler, José María Valls
Genetic Programming Based Data Projections for Classification Tasks. IEC (Prague) (2005)
Ricardo Aler, Oscar Garcia, José María Valls
Correcting and improving imitation models of humans for Robosoccer agents. Congress on Evolutionary Computation (2005)
José María Valls, Ricardo Aler, Oscar Fernández
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN (2005)
César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) (2005)
José María Valls, Inés María Galván, Pedro Isasi
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. Neural Process. Lett. 20 (2) (2004)
Pedro Isasi, José María Valls, Inés María Galván
A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) (2003)
José María Valls, Inés María Galván, Pedro Isasi
How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. Applied Informatics (2003)
José M. Molina, Inés María Galván, José María Valls, Andrés Leal
Optimizing the Number of Learning Cycles in the Design of Radial Basis Neural Networks Using a Multi-Agent System. Comput. Artif. Intell. 20 (5) (2001)
José María Valls, Pedro Isasi, Inés María Galván
Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN (2001)
Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. Int. J. Neural Syst. 11 (2) (2001)
José María Valls, José M. Molina, Inés María Galván
Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas. Inteligencia Artif. 4 (10) (2000)