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Publications of Author

1. Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz
   On the selection of hidden neurons with heuristic search strategies for approximation. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:389-394 [Conf]
   
2. Enrique Romero, Daniel Toppo
   Comparing Support Vector Machines and Feed-forward Neural Networks with Similar Parameters. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2006, pp:90-98 [Conf]
   
3. Enrique Romero
   Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study. [Citation Graph (0, 0)][DBLP]
   IWANN, 2005, pp:225-232 [Conf]
   
4. Enrique Romero, Lluís Màrquez, Xavier Carreras
   Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2004, v:57, n:, pp:313-344 [Journal]
   
5. Enrique Romero, René Alquézar
   A sequential algorithm for feed-forward neural networks with optimal coefficients and interacting frequencies. [Citation Graph (0, 0)][DBLP]
   Neurocomputing, 2006, v:69, n:13-15, pp:1540-1552 [Journal]
   
6. Enrique Romero, Ignacio Barrio, Lluís Belanche
   Incremental and Decremental Learning for Linear Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2007, pp:209-218 [Conf]
   
7. Ignacio Barrio, Enrique Romero, Lluís Belanche
   Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2007, pp:431-440 [Conf]
   
8. Ignacio Barrio, Enrique Romero, Lluís Belanche
   Selection of Basis Functions Guided by the L2 Soft Margin. [Citation Graph (0, 0)][DBLP]
   ICANN (1), 2007, pp:421-430 [Conf]
   
9. Enrique Romero, Julio J. Valdés, Alan J. Barton
   Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective. [Citation Graph (0, 0)][DBLP]
   IWANN, 2007, pp:1020-1027 [Conf]
   
10. Enrique Romero, René Alquézar
    Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2735-2743 [Journal]
    
11. 
    Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks. [Citation Graph (, )][DBLP]
    
    
12. 
    Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. [Citation Graph (, )][DBLP]
    
    
13. 
    DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. [Citation Graph (, )][DBLP]
    
    
14. 
    Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. [Citation Graph (, )][DBLP]
    
    
15. 
    Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. [Citation Graph (, )][DBLP]
    
    
16. 
    Data and Knowledge Visualization with Virtual Reality Spaces, Neural Networks and Rough Sets: Application to Geophysical Prospecting. [Citation Graph (, )][DBLP]
    
    
17. 
    Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. [Citation Graph (, )][DBLP]
    
    
18. 
    Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. [Citation Graph (, )][DBLP]