The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

José Manuel Peña: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. José Manuel Peña, Víctor Robles, Oscar Marbán, María S. Pérez
    Bayesian Methods to Estimate Future Load in Web Farms. [Citation Graph (0, 0)][DBLP]
    AWIC, 2004, pp:217-226 [Conf]
  2. María S. Pérez, Alberto Sánchez, Pilar Herrero, Víctor Robles, José Manuel Peña
    Adapting the Weka Data Mining Toolkit to a Grid Based Environment. [Citation Graph (0, 0)][DBLP]
    AWIC, 2005, pp:492-497 [Conf]
  3. María S. Pérez, Alberto Sánchez, Víctor Robles, José Manuel Peña, Jemal H. Abawajy
    Cooperation model of a multiagent parallel file system for clusters. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2004, pp:595-601 [Conf]
  4. José Manuel Peña, Sylvain Létourneau, Fazel Famili
    Application of Rough Sets Algorithms to Prediction of Aircraft Component Failure. [Citation Graph (0, 0)][DBLP]
    IDA, 1999, pp:473-486 [Conf]
  5. José Manuel Peña, Fazel Famili, Sylvain Létourneau
    Data mining to detect abnormal behavior in aerospace data. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:390-397 [Conf]
  6. María S. Pérez, Alberto Sánchez, José Manuel Peña, Víctor Robles, Jesús Carretero, Félix García
    Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters. [Citation Graph (0, 0)][DBLP]
    Parallel and Distributed Computing and Networks, 2004, pp:70-75 [Conf]
  7. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  8. Alberto Sánchez, María S. Pérez, Víctor Robles, José Manuel Peña, Pilar Herrero
    A Flexible Two-Level I/O Architecture for Grids. [Citation Graph (0, 0)][DBLP]
    SAG, 2004, pp:50-58 [Conf]
  9. Pedro Larrañaga, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña
    Combinatonal Optimization by Learning and Simulation of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:343-352 [Conf]
  10. Jens D. Nielsen, Tomás Kocka, José Manuel Peña
    On Local Optima in Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:435-442 [Conf]
  11. Víctor Robles, Pedro Larrañaga, José Manuel Peña, Ernestina Menasalvas Ruiz, María S. Pérez, Vanessa Herves, Anita Wasilewska
    Bayesian network multi-classifiers for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2004, v:31, n:2, pp:117-136 [Journal]
  12. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Evolutionary Computation, 2005, v:13, n:1, pp:43-66 [Journal]
  13. María S. Pérez, Jesús Carretero, Félix García Carballeira, José Manuel Peña, Víctor Robles
    MAPFS: A flexible multiagent parallel file system for clusters. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2006, v:22, n:5, pp:620-632 [Journal]
  14. María S. Pérez, Alberto Sánchez, Víctor Robles, Pilar Herrero, José Manuel Peña
    Design and implementation of a data mining grid-aware architecture. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2007, v:23, n:1, pp:42-47 [Journal]
  15. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Performance evaluation of compromise conditional Gaussian networks for data clustering. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:28, n:1, pp:23-50 [Journal]
  16. Ernestina Menasalvas Ruiz, Socorro Millán, José Manuel Peña, Michael Hadjimichael, Oscar Marbán
    Subsessions: A granular approach to click path analysis. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2004, v:19, n:7, pp:619-637 [Journal]
  17. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:Supplement-1, pp:63-82 [Journal]
  18. María S. Pérez, Alberto Sánchez, José Manuel Peña, Víctor Robles
    A new formalism for dynamic reconfiguration of data servers in a cluster. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 2005, v:65, n:10, pp:1134-1145 [Journal]
  19. Pedro Larrañaga, José Antonio Lozano, José Manuel Peña, Iñaki Inza
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:3, pp:211-212 [Journal]
  20. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:47, n:1, pp:63-89 [Journal]
  21. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza
    Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:6, pp:590-603 [Journal]
  22. Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José Manuel Peña
    Representing the behaviour of supervised classification learning algorithms by Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1201-1209 [Journal]
  23. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:8, pp:779-786 [Journal]
  24. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    An empirical comparison of four initialization methods for the K-Means algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:10, pp:1027-1040 [Journal]
  25. José Manuel Peña, José Antonio Lozano, Pedro Larrañaga
    Learning Bayesian networks for clustering by means of constructive induction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1219-1230 [Journal]

  26. Using multiple offspring sampling to guide genetic algorithms to solve permutation problems. [Citation Graph (, )][DBLP]


  27. Voronoi-initializated island models for solving real-coded deceptive problems. [Citation Graph (, )][DBLP]


Search in 0.005secs, Finished in 0.007secs
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
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002