The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.002secs, Finished in 0.303secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002