Search the dblp DataBase

Publications of Author

1. Juan Manuel Alonso-Weber, Inés María Galván, Araceli Sanchis de Miguel
   Modified Self-organizing Maps for Line Extraction in Digitized Text Documents. [Citation Graph (0, 0)][DBLP]
   Applied Informatics, 2003, pp:281-286 [Conf]
   
2. José María Valls, Inés María Galván, Pedro Isasi
   How the Selection of Training Patterns can Improve the Generalization Capability in Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
   Applied Informatics, 2003, pp:275-280 [Conf]
   
3. César Estébanez, José María Valls, Ricardo Aler, Inés María Galván
   A First Attempt at Constructing Genetic Programming Expressions for EEG Classification. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2005, pp:665-670 [Conf]
   
4. Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchís
   Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. [Citation Graph (0, 0)][DBLP]
   ICANN, 2002, pp:314-322 [Conf]
   
5. José María Valls, Inés María Galván, Pedro Isasi
   Lazy Training of Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2006, pp:198-207 [Conf]
   
6. José María Valls, Pedro Isasi, Inés María Galván
   Deferring the Learning for Better Generalization in Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICANN, 2001, pp:189-195 [Conf]
   
7. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
   Spectral High Resolution Feature Selection for Retrieval of Combustion Temperature Profiles. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2006, pp:754-762 [Conf]
   
8. German Gutiérrez Sanchez, Pedro Isasi, José M. Molina, Araceli Sanchís, Inés María Galván
   Evolutionary Cellular Configurations for Designing Feed-Forward Neural Networks Architectures. [Citation Graph (0, 0)][DBLP]
   IWANN (1), 2001, pp:514-521 [Conf]
   
9. Pedro Isasi, José María Valls, Inés María Galván
   A Better Selection of Patterns in Lazy Learning Radial Basis Neural Networks. [Citation Graph (0, 0)][DBLP]
   IWANN (1), 2003, pp:278-285 [Conf]
   
10. Esteban García-Cuesta, Inés María Galván, Antonio J. de Castro
    Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles. [Citation Graph (0, 0)][DBLP]
    CIMCA/IAWTIC, 2005, pp:81-86 [Conf]
    
11. José María Valls, José M. Molina, Inés María Galván
    Sistema Multiagente para el diseño de Redes de Neuronas de Base Radial Óptimas. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2000, v:10, n:, pp:18-25 [Journal]
    
12. 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. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 2001, v:20, n:5, pp:- [Journal]
    
13. 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. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 2005, v:24, n:3, pp:- [Journal]
    
14. 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. [Citation Graph (0, 0)][DBLP]
    Computers and Artificial Intelligence, 2006, v:25, n:1, pp:- [Journal]
    
15. Inés María Galván, Pedro Isasi, Ricardo Aler, José María Valls
    A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2001, v:11, n:2, pp:167-177 [Journal]
    
16. Inés María Galván, Pedro Isasi
    Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2001, v:13, n:2, pp:115-133 [Journal]
    
17. José María Valls, Inés María Galván, Pedro Isasi
    Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:2, pp:105-124 [Journal]
    
18. Alejandro Cervantes, Inés María Galván, Pedro Isasi
    An Adaptive Michigan Approach PSO for Nearest Prototype Classification. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2007, pp:287-296 [Conf]
    
19. Alejandro Cervantes, Inés María Galván, Pedro Isasi
    A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:290-297 [Conf]
    
20. José María Valls, Inés María Galván, Pedro Isasi
    LRBNN: A Lazy Radial Basis Neural Network model. [Citation Graph (0, 0)][DBLP]
    AI Commun., 2007, v:20, n:2, pp:71-86 [Journal]
    
21. 
    Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms. [Citation Graph (, )][DBLP]
    
    
22. 
    Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data. [Citation Graph (, )][DBLP]
    
    
23. 
    Discriminant Regression Analysis to Find Homogeneous Structures. [Citation Graph (, )][DBLP]
    
    
24. 
    A Lazy Approach for Machine Learning Algorithms. [Citation Graph (, )][DBLP]
    
    
25. 
    Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks. [Citation Graph (, )][DBLP]
    
    
26. 
    Supervised clustering via principal component analysis in a retrieval application. [Citation Graph (, )][DBLP]
    
    
27. 
    Improving Classification for Brain Computer Interfaces using Transitions and a Moving Window. [Citation Graph (, )][DBLP]