Inés María Galván

2009
21	EE	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
2007
20	EE	Alejandro Cervantes, Inés María Galván, Pedro Isasi: An Adaptive Michigan Approach PSO for Nearest Prototype Classification. IWINAC (2) 2007: 287-296
19	EE	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	EE	José María Valls, Inés María Galván, Pedro Isasi: Lazy Training of Radial Basis Neural Networks. ICANN (1) 2006: 198-207
17	EE	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	EE	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	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
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	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
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	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
2002
7	EE	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	EE	José María Valls, Pedro Isasi, Inés María Galván: Deferring the Learning for Better Generalization in Radial Basis Neural Networks. ICANN 2001: 189-195
5	EE	German Gutiérrez Sanchez, 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	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)
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	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)

Coauthor Index

1	Enrique Alba (Enrique Alba Torres)	[21]
2	Ricardo Aler	[3] [13]
3	Juan Manuel Alonso-Weber	[9]
4	Antonio J. de Castro	[15] [17]
5	Alejandro Cervantes	[14] [20] [21]
6	César Estébanez	[13]
7	Sandra García	[21]
8	Esteban García-Cuesta	[15] [17]
9	Germán Gutiérrez	[7] [12]
10	María Dolores Jaraíz-Simón	[21]
11	Andrés Leal	[4]
12	Coromoto León	[21]
13	José M. Molina López (José Manuel Molina, José M. Molina)	[1] [4] [5] [7] [12]
14	Francisco Luna	[21]
15	Cristóbal Luque	[21]
16	Gara Miranda	[21]
17	Antonio J. Nebro	[21]
18	Juan Antonio Gómez Pulido	[21]
19	German Gutiérrez Sanchez	[5]
20	Araceli Sanchís (Araceli Sanchis de Miguel)	[5] [7] [9] [12]
21	Eduardo Segredo	[21]
22	Carlos Segura	[21]
23	José María Valls	[1] [3] [4] [6] [8] [10] [11] [13] [16] [18] [19]
24	Miguel A. Vega-Rodríguez (Miguel Ángel Vega Rodríguez)	[21]
25	Pedro Isasi Viñuela (Pedro Isasi)	[2] [3] [5] [6] [8] [10] [11] [12] [14] [16] [18] [19] [20]

Colors in the list of coauthors