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ORCIDJosé María Valls
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2020 – today
- 2021
[j21]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): 10515-10527 (2021)- 2020
- [j20]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: 113264 (2020)
2010 – 2019
- 2017
- [j19]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: 363-382 (2017) - 2016
- [j18]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): 1261-1274 (2016) - 2014
- [c20]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: 269-278 - 2012
- [j17]Alejandro Echeverría, José María Valls, Ricardo Aler:
Evolving linear transformations with a rotation-angles/scaling representation. Expert Syst. Appl. 39(3): 3276-3282 (2012) - [j16]Ricardo Aler, Inés María Galván, José María Valls:
Applying evolution strategies to preprocessing EEG signals for brain-computer interfaces. Inf. Sci. 215: 53-66 (2012) - 2011
- [j15]Cristóbal Luque, José María Valls, Pedro Isasi:
Time series prediction evolving Voronoi regions. Appl. Intell. 34(1): 116-126 (2011) - [j14]Inés María Galván, José María Valls, Miguel García, Pedro Isasi:
A lazy learning approach for building classification models. Int. J. Intell. Syst. 26(8): 773-786 (2011) - [j13]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): 975-990 (2011) - 2010
- [c19]Ricardo Aler, Inés María Galván, José María Valls:
Evolving spatial and frequency selection filters for Brain-Computer Interfaces. IEEE Congress on Evolutionary Computation 2010: 1-7
2000 – 2009
- 2009
- [j12]Ricardo Aler, José María Valls, David Camacho, Alberto López:
Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36(2): 1850-1859 (2009) - [j11]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): 11992 (2009) - [c18]Ricardo Aler, Inés María Galván, José María Valls:
Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS 2009: 65-71 - [c17]Ricardo Aler, Inés María Galván, José María Valls:
Transition Detection for Brain Computer Interface Classification. BIOSTEC (Selected Papers) 2009: 200-210 - [c16]Cristóbal Luque, David Quintana, José María Valls, Pedro Isasi:
Two-layered evolutionary forecasting for IPO underpricing. IEEE Congress on Evolutionary Computation 2009: 2374-2378 - [c15]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: 244-255 - [c14]José María Valls, Ricardo Aler:
Optimizing Data Transformations for Classification Tasks. IDEAL 2009: 176-183 - [c13]Inés María Galván, José María Valls, Nicolas Lecomte, Pedro Isasi:
A Lazy Approach for Machine Learning Algorithms. AIAI 2009: 517-522 - [c12]José María Valls, Ricardo Aler:
Optimizing Linear and Quadratic Data Transformations for Classification Tasks. ISDA 2009: 1025-1030 - 2008
- [j10]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): 174-185 (2008) - [j9]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): 2529-2537 (2008) - [c11]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: 1579-1586 - 2007
- [j8]José María Valls, Inés María Galván, Pedro Isasi:
LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007) - [j7]José María Valls, Ricardo Aler, Oscar Fernández:
Evolving Generalized Euclidean Distances for Training RBNN. Comput. Artif. Intell. 26(1): 33-43 (2007) - [j6]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): 69-80 (2007) - [c10]Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela:
Time Series Forecasting by means of Evolutionary Algorithms. IPDPS 2007: 1-7 - 2006
- [j5]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): 1-15 (2006) - [c9]César Estébanez, José María Valls, Ricardo Aler:
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP 2006: 202-212 - [c8]José María Valls, Inés María Galván, Pedro Isasi:
Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207 - 2005
- [c7]Ricardo Aler, Oscar Garcia, José María Valls:
Correcting and improving imitation models of humans for Robosoccer agents. Congress on Evolutionary Computation 2005: 2402-2409 - [c6]César Estébanez, José María Valls, Ricardo Aler, Inés María Galván:
A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. ICANN (1) 2005: 665-670 - [c5]José María Valls, Ricardo Aler, Oscar Fernández:
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN 2005: 257-263 - [c4]César Estébanez, Ricardo Aler, José María Valls:
Genetic Programming Based Data Projections for Classification Tasks. IEC (Prague) 2005: 56-61 - 2004
- [j4]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): 105-124 (2004) - 2003
- [c3]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: 275-280 - [c2]Pedro Isasi, José María Valls, Inés María Galván:
A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. IWANN (1) 2003: 278-285 - 2001
- [j3]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): 429-449 (2001) - [j2]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): 167-177 (2001) - [c1]José María Valls, Pedro Isasi, Inés María Galván:
Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195 - 2000
- [j1]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): 18-25 (2000)
Coauthor Index
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