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Aníbal R. Figueiras-Vidal: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ascensión Gallardo-Antolín, Angel Navia-Vázquez, H. Y. Molina-Bulla, A. B. Rodríguez-González, Francisco J. Valverde-Albacete, Jesús Cid-Sueiro, Aníbal R. Figueiras-Vidal, T. Koutris, C. Xirouhaki, Manolis Koubarakis
    I-Gaia: an information processing layer for the DIET platform. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2002, pp:1272-1279 [Conf]
  2. Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
    Designing neural network committees by combining boosting ensembles. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:419-424 [Conf]
  3. Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
    Boosting by weighting boundary and erroneous samples. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:85-90 [Conf]
  4. Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
    An On-line Fisher Discriminant. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:175-180 [Conf]
  5. I. Mora-Jiménez, A. Lyhyaoui, Jerónimo Arenas-García, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal
    A Trainable Classifier via k Nearest Neighbors. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:365-373 [Conf]
  6. Fernando Pérez-Cruz, Gustavo Camps-Valls, Emilio Soria-Olivas, Juan José Pérez-Ruixo, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
    Multi-dimensional Function Approximation and Regression Estimation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:757-762 [Conf]
  7. José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
    Support Vector Robust Algorithms for Non-parametric Spectral Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1100-1105 [Conf]
  8. José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez
    Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1106-1111 [Conf]
  9. Armando Malanda-Trigueros, Fernando Calleja-Garde, Aníbal R. Figueiras-Vidal
    A genetic algorithm for noisy channel color quantization design. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:898-901 [Conf]
  10. Jerónimo Arenas-García, Vanessa Gómez-Verdejo, S. Muñoz-Romero, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal
    Fast Classification with Neural Networks via Confidence Rating. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:622-629 [Conf]
  11. Jesús Cid-Sueiro, Luis Weruaga-Prieto, Aníbal R. Figueiras-Vidal
    Optimal Blind Equalization of Gaussian Channels. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:605-610 [Conf]
  12. Pedro J. García-Laencina, Aníbal R. Figueiras-Vidal, Jesús Serrano-García, José-Luis Sancho-Gómez
    Exploiting Multitask Learning Schemes Using Private Subnetworks. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:233-240 [Conf]
  13. Carlos Pantaleón, Aníbal R. Figueiras-Vidal
    Nonlinear Time Series Modeling by Competitive Segmentation of State Space. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:525-530 [Conf]
  14. Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Amanda J. C. Sharkey
    The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2003, pp:45-54 [Conf]
  15. Itziar G. Alonso-González, Carlos Travieso-González, Miguel Angel Ferrer-Ballester, Aníbal R. Figueiras-Vidal
    Improving a HMM Speech Recognizer with a Polynomial GMDH Neural Network Postprocessor. [Citation Graph (0, 0)][DBLP]
    SIP, 1999, pp:279-283 [Conf]
  16. Vanessa Gómez-Verdejo, Manuel Ortega-Moral, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal
    Boosting by weighting critical and erroneous samples. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:679-685 [Journal]
  17. Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal
    Total least squares for block training of neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:25, n:1-3, pp:213-217 [Journal]
  18. José-Luis Sancho, William E. Pierson, Batu Ulug, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt
    Class separability estimation and incremental learning using boundary methods. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:35, n:1-4, pp:3-26 [Journal]
  19. Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal
    Efficient Block Training of Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:6, pp:1429-1447 [Journal]
  20. Francisco J. González-Serrano, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
    Fourier analysis of the generalized CMAC neural network. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1998, v:11, n:3, pp:391-396 [Journal]
  21. E. Parrado-Hernández, I. Mora-Jiménez, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal, Angel Navia-Vázquez
    Growing support vector classifiers with controlled complexity. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:7, pp:1479-1488 [Journal]
  22. José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal
    Support vector machines framework for linear signal processing. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:12, pp:2316-2326 [Journal]
  23. Jerónimo Arenas-García, Manel Martínez-Ramón, Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal
    Plant identification via adaptive combination of transversal filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:9, pp:2430-2438 [Journal]
  24. Jesús Cid-Sueiro, Luis M. San José-Revuelta, Aníbal R. Figueiras-Vidal
    Soft-decision equalizers for in-service error rate monitoring. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:4, pp:741-744 [Journal]
  25. Miguel Lázaro-Gredilla, Jaisiel Madrid-Sánchez, Aníbal R. Figueiras-Vidal
    A new cost function to build MLPs by means of regularized boosting. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2006, pp:162-167 [Conf]
  26. Pedro J. García-Laencina, Jesús Serrano-García, Aníbal R. Figueiras-Vidal, José-Luis Sancho-Gómez
    Multi-task Neural Networks for Dealing with Missing Inputs. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:282-291 [Conf]
  27. Jaisiel Madrid-Sánchez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal
    A Single Layer Perceptron Approach to Selective Multi-task Learning. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:272-281 [Conf]
  28. Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal
    Fast evaluation of neural networks via confidence rating. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2775-2782 [Journal]

  29. An emphasized target smoothing procedure to improve MLP classifiers performance. [Citation Graph (, )][DBLP]

  30. K-nearest neighbours based on mutual information for incomplete data classification. [Citation Graph (, )][DBLP]

  31. A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class. [Citation Graph (, )][DBLP]

  32. Pattern Classification with Missing Values using Multitask Learning. [Citation Graph (, )][DBLP]

  33. A normalized adaptation scheme for the convex combination of two adaptive filters. [Citation Graph (, )][DBLP]

  34. Applying emphasized soft targets for Gaussian Mixture Model based classification. [Citation Graph (, )][DBLP]

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