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Oscar Fontenla-Romero: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:489-500 [Conf]
  2. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
    A Bayesian Neural Network Approach for Sleep Apnea Classification. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:284-293 [Conf]
  3. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade
    A Neural Network Approach for Forestal Fire Risk Estimation. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:643-647 [Conf]
  4. Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
    Shear strength prediction using dimensional analysis and functional networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:251-256 [Conf]
  5. Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    Recursive Least Squares for an Entropy Regularized MSE Cost Function. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:451-456 [Conf]
  6. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Accelerating the convergence speed of neural networks learning methods using least squares. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:255-260 [Conf]
  7. Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
    Self-organizing maps and functional networks for local dynamic modeling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:39-44 [Conf]
  8. Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
    Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:945-950 [Conf]
  9. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Linear Least-Squares Based Methods for Neural Networks Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:84-91 [Conf]
  10. Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos
    Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:949-954 [Conf]
  11. Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    A Fast Classification Algorithm Based on Local Models. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:249-256 [Conf]
  12. Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Measure of Noise Immunity for Functional Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:293-300 [Conf]
  13. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
    An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:393-400 [Conf]
  14. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:301-307 [Conf]
  15. Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:270-277 [Conf]
  16. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe
    Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:358-364 [Conf]
  17. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
    Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:136, n:1, pp:1-27 [Journal]
  18. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
    A new method for sleep apnea classification using wavelets and feedforward neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:1, pp:65-76 [Journal]
  19. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
    An intelligent system for forest fire risk prediction and fire fighting management in Galicia. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2003, v:25, n:4, pp:545-554 [Journal]
  20. Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
    A measure of fault tolerance for functional networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:62, n:, pp:327-347 [Journal]
  21. Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1159-1182 [Journal]
  22. Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Global Optimum Approach for One-Layer Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:6, pp:1429-1449 [Journal]
  23. Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez, Paula Fraguela
    A Fast Semi-linear Backpropagation Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:190-198 [Conf]

  24. An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis. [Citation Graph (, )][DBLP]


  25. A Method for Time Series Prediction using a Combination of Linear Models. [Citation Graph (, )][DBLP]


  26. A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. [Citation Graph (, )][DBLP]


  27. Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. [Citation Graph (, )][DBLP]


  28. Local Modeling Classifier for Microarray Gene-Expression Data. [Citation Graph (, )][DBLP]


  29. A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection. [Citation Graph (, )][DBLP]


  30. Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. [Citation Graph (, )][DBLP]


  31. A Linear Learning Method for Multilayer Perceptrons Using Least-Squares. [Citation Graph (, )][DBLP]


  32. A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. [Citation Graph (, )][DBLP]


  33. A Novel Local Classification Method using Growing Neural Gas and Proximal Support Vector Machines. [Citation Graph (, )][DBLP]


  34. A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization. [Citation Graph (, )][DBLP]


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