2009 |
21 | EE | 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 |
2008 |
20 | EE | Francisco Luna,
César Estébanez,
Coromoto León,
José M. 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 |
19 | EE | 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) |
2007 |
18 | EE | Cristóbal Luque del Arco-Calderón,
José María Valls,
Pedro Isasi Viñuela:
Time Series Forecasting by means of Evolutionary Algorithms.
IPDPS 2007: 1-7 |
17 | EE | José María Valls,
Inés María Galván,
Pedro Isasi:
LRBNN: A Lazy Radial Basis Neural Network model.
AI Commun. 20(2): 71-86 (2007) |
16 | | José María Valls,
Ricardo Aler,
Oscar Fernández:
Evolving Generalized Euclidean Distances for Training RBNN.
Computers and Artificial Intelligence 26(1): (2007) |
15 | EE | César Estébanez,
Ricardo Aler,
José María Valls:
A Method Based on Genetic Programming for Improving the Quality of Datasets in Classification Problems.
IJCSA 4(1): 69-80 (2007) |
2006 |
14 | EE | César Estébanez,
José María Valls,
Ricardo Aler:
Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks.
EuroGP 2006: 202-212 |
13 | EE | José María Valls,
Inés María Galván,
Pedro Isasi:
Lazy Training of Radial Basis Neural Networks.
ICANN (1) 2006: 198-207 |
12 | | 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.
Computers and Artificial Intelligence 25(1): (2006) |
2005 |
11 | EE | Ricardo Aler,
Oscar Garcia,
José María Valls:
Correcting and improving imitation models of humans for Robosoccer agents.
Congress on Evolutionary Computation 2005: 2402-2409 |
10 | EE | 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 |
9 | | César Estébanez,
Ricardo Aler,
José María Valls:
Genetic Programming Based Data Projections for Classification Tasks.
IEC (Prague) 2005: 56-61 |
8 | EE | José María Valls,
Ricardo Aler,
Oscar Fernández:
Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks.
IWANN 2005: 257-263 |
2004 |
7 | EE | José María Valls,
Inés María Galván,
Pedro Isasi:
Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models.
Neural Processing Letters 20(2): 105-124 (2004) |
2003 |
6 | | 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 |
5 | EE | 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 |
4 | EE | José María Valls,
Pedro Isasi,
Inés María Galván:
Deferring the Learning for Better Generalization in Radial Basis Neural Networks.
ICANN 2001: 189-195 |
3 | | 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.
Computers and Artificial Intelligence 20(5): (2001) |
2 | EE | 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) |
2000 |
1 | EE | José María Valls,
José M. Molina,
Inés María Galván:
Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10: 18-25 (2000) |