José María Valls

	2009
25		Ricardo Aler, Inés María Galván, José María Valls: Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. BIOSIGNALS 2009: 65-71
24		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
23		José María Valls, Ricardo Aler: Optimizing Data Transformations for Classification Tasks. IDEAL 2009: 176-183
22		Ricardo Aler, José María Valls, David Camacho, Alberto López: Programming Robosoccer agents by modeling human behavior. Expert Syst. Appl. 36(2): 1850-1859 (2009)
21		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)
	2008
20		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		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		Cristóbal Luque del Arco-Calderón, José María Valls, Pedro Isasi Viñuela: Time Series Forecasting by means of Evolutionary Algorithms. IPDPS 2007: 1-7
17		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		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		César Estébanez, José María Valls, Ricardo Aler: Projecting Financial Data Using Genetic Programming in Classification and Regression Tasks. EuroGP 2006: 202-212
13		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		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		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		José María Valls, Ricardo Aler, Oscar Fernández: Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks. IWANN 2005: 257-263
	2004
7		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		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		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		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		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)

Coauthor Index

1	Enrique Alba (Enrique Alba Torres)	[20]
2	Ricardo Aler	[2] [8] [9] [10] [11] [14] [15] [16] [19] [20] [21] [22] [23] [24] [25]
3	Pablo Alonso	[24]
4	Cristóbal Luque del Arco-Calderón (Cristóbal Luque)	[18]
5	David Camacho	[21] [22]
6	José M. Chaves-González	[20]
7	César Estébanez	[9] [10] [14] [15] [19] [20] [24]
8	Oscar Fernández	[8] [16]
9	Inés María Galván	[1] [2] [3] [4] [5] [6] [7] [10] [12] [13] [17] [25]
10	Oscar Garcia	[11]
11	Andrés Leal	[3]
12	Coromoto León	[20]
13	Alberto López	[21] [22]
14	José M. Molina López (José Manuel Molina, José M. Molina)	[1] [3]
15	Francisco Luna	[20]
16	Gara Miranda	[20]
17	Antonio J. Nebro	[20]
18	Juan Antonio Gómez Pulido	[20]
19	Carlos Segura	[20]
20	Miguel A. Vega-Rodríguez (Miguel Ángel Vega Rodríguez)	[20]
21	Pedro Isasi Viñuela (Pedro Isasi)	[2] [4] [5] [6] [7] [12] [13] [17] [18]