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Joaquín Torres-Sospedra: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
    Training Radial Basis Functions by Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:184-189 [Conf]
  2. Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
    Experiments on Ensembles of Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    ICAISC, 2004, pp:197-202 [Conf]
  3. Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
    Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:293-302 [Conf]
  4. Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
    Combination Methods for Ensembles of RBFs. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:121-126 [Conf]
  5. Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa
    Combination Methods for Ensembles of MF. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:133-138 [Conf]
  6. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    New Results on Ensembles of Multilayer Feedforward. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:139-144 [Conf]
  7. Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo
    Improving the Combination Module with a Neural Network. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:146-155 [Conf]
  8. Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
    Gradient Descent and Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:391-396 [Conf]
  9. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Improving Adaptive Boosting with k-Cross-Fold Validation. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:397-402 [Conf]
  10. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2006, pp:488-493 [Conf]
  11. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
    Some Experiments on Training Radial Basis Functions by Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:428-433 [Conf]
  12. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
    Multilayer Feedforward Ensembles for Classification Problems. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:744-749 [Conf]
  13. Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa
    Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:477-486 [Conf]
  14. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:616-625 [Conf]
  15. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. [Citation Graph (0, 0)][DBLP]
    ICONIP (1), 2006, pp:688-697 [Conf]
  16. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra
    Gradient Descent Training of Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:229-234 [Conf]
  17. Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra
    Classification by Multilayer Feedforward Ensembles. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:852-857 [Conf]
  18. Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
    Ensembles of RBFs Trained by Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:223-228 [Conf]
  19. Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
    Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:912-917 [Conf]
  20. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Ensembles of Multilayer Feedforward: Some New Results. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:604-611 [Conf]
  21. Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
    Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:677-684 [Conf]
  22. Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra
    First Experiments on Ensembles of Radial Basis Functions. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2004, pp:253-262 [Conf]
  23. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    An Experimental Study on Training Radial Basis Functions by Gradient Descent. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:81-92 [Conf]
  24. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. [Citation Graph (0, 0)][DBLP]
    ANNPR, 2006, pp:210-220 [Conf]
  25. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Stacking MF Networks to Combine the Outputs Provided by RBF Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:450-459 [Conf]
  26. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:309-318 [Conf]
  27. Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo
    Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:119-126 [Conf]

  28. Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. [Citation Graph (, )][DBLP]


  29. New Results on Combination Methods for Boosting Ensembles. [Citation Graph (, )][DBLP]


  30. Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. [Citation Graph (, )][DBLP]


  31. Mixing Aveboost and Conserboost to Improve Boosting Methods. [Citation Graph (, )][DBLP]


  32. Designing a New Multilayer Feedforward Modular Network for Classification Problems. [Citation Graph (, )][DBLP]


  33. Training Radial Basis Functions by Gradient Descent. [Citation Graph (, )][DBLP]


  34. Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. [Citation Graph (, )][DBLP]


  35. Researching on combining boosting ensembles. [Citation Graph (, )][DBLP]


  36. Decision Fusion on Boosting Ensembles. [Citation Graph (, )][DBLP]


  37. Researching on Multi-net Systems Based on Stacked Generalization. [Citation Graph (, )][DBLP]


  38. The Mixture of Neural Networks as Ensemble Combiner. [Citation Graph (, )][DBLP]


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