Inés María Galván

	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		Carlos Segura, Alejandro Cervantes, Antonio J. Nebro, María Dolores Jaraíz-Simón, Eduardo Segredo, Sandra García, Francisco Luna, Juan Antonio Gómez Pulido, Gara Miranda, Cristóbal Luque, Enrique Alba, Miguel Ángel Vega Rodríguez, Coromoto León, Inés María Galván: Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. EMO 2009: 305-319
23		Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro: Discriminant Regression Analysis to Find Homogeneous Structures. IDEAL 2009: 191-199
22		Sandra García, Cristóbal Luque, Alejandro Cervantes, Inés María Galván: Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. IWANN (1) 2009: 728-735
21		Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro: Supervised clustering via principal component analysis in a retrieval application. KDD Workshop on Knowledge Discovery from Sensor Data 2009: 97-104
	2007
20		Alejandro Cervantes, Inés María Galván, Pedro Isasi: An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296
19		José María Valls, Inés María Galván, Pedro Isasi: LRBNN: A Lazy Radial Basis Neural Network model. AI Commun. 20(2): 71-86 (2007)
	2006
18		José María Valls, Inés María Galván, Pedro Isasi: Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207
17		Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro: Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. IDEAL 2006: 754-762
16		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
15		Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro: Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. CIMCA/IAWTIC 2005: 81-86
14		Alejandro Cervantes, Inés María Galván, Pedro Isasi: A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. Congress on Evolutionary Computation 2005: 290-297
13		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
12		Germán Gutiérrez, Araceli Sanchís, Pedro Isasi Viñuela, José M. Molina, Inés María Galván: Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures. Computers and Artificial Intelligence 24(3): (2005)
	2004
11		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
10		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
9		Juan Manuel Alonso-Weber, Inés María Galván, Araceli Sanchis de Miguel: Modified Self-organizing Maps for Line Extraction in Digitized Text Documents. Applied Informatics 2003: 281-286
8		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
	2002
7		Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchís: Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. ICANN 2002: 314-322
	2001
6		José María Valls, Pedro Isasi, Inés María Galván: Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195
5		Germán Gutiérrez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván: Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. IWANN (1) 2001: 514-521
4		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)
3		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)
2		Inés María Galván, Pedro Isasi: Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. Neural Processing Letters 13(2): 115-133 (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)	[24]
2	Ricardo Aler	[3] [13] [25]
3	Juan Manuel Alonso-Weber	[9]
4	Cristóbal Luque del Arco-Calderón (Cristóbal Luque)	[22] [24]
5	Antonio J. de Castro	[15] [17] [21] [23]
6	Alejandro Cervantes	[14] [20] [22] [24]
7	César Estébanez	[13]
8	Sandra García	[22] [24]
9	Esteban García-Cuesta	[15] [17] [21] [23]
10	Germán Gutiérrez	[5] [7] [12]
11	María Dolores Jaraíz-Simón	[24]
12	Andrés Leal	[4]
13	Coromoto León	[24]
14	José M. Molina López (José Manuel Molina, José M. Molina)	[1] [4] [5] [7] [12]
15	Francisco Luna	[24]
16	Gara Miranda	[24]
17	Antonio J. Nebro	[24]
18	Juan Antonio Gómez Pulido	[24]
19	Araceli Sanchís (Araceli Sanchis de Miguel)	[5] [7] [9] [12]
20	Eduardo Segredo	[24]
21	Carlos Segura	[24]
22	José María Valls	[1] [3] [4] [6] [8] [10] [11] [13] [16] [18] [19] [25]
23	Miguel A. Vega-Rodríguez (Miguel Ángel Vega Rodríguez)	[24]
24	Pedro Isasi Viñuela (Pedro Isasi)	[2] [3] [5] [6] [8] [10] [11] [12] [14] [16] [18] [19] [20]

Colors in the list of coauthors