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José A. Gámez: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Heuristic Based Sampling in Estimation of Distribution Algorithms: An Initial Approach. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2003, pp:384-393 [Conf]
  2. M. Julia Flores, José A. Gámez, Serafín Moral
    Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:63-75 [Conf]
  3. José A. Gámez, Jose Miguel Puerta
    Constrained Score+(Local)Search Methods for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:161-173 [Conf]
  4. J. E. Villalobos, J. L. Sánchez, José A. Gámez, José Carlos Sancho, Antonio Robles
    A Methodology to Evaluate the Effectiveness of Traffic Balancing Algorithms. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2004, pp:891-899 [Conf]
  5. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking. [Citation Graph (0, 0)][DBLP]
    Hybrid Metaheuristics, 2006, pp:42-56 [Conf]
  6. Luis M. de Campos, José A. Gámez, Serafín Moral
    Partial Abductive Inference in Bayesian Networks By Using Probability Trees. [Citation Graph (0, 0)][DBLP]
    ICEIS (2), 2003, pp:83-91 [Conf]
  7. M. Julia Flores, José A. Gámez
    Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:350-357 [Conf]
  8. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Initial Approaches to the Application of Islands-Based Parallel EDAs in Continuous Domains. [Citation Graph (0, 0)][DBLP]
    ICPP Workshops, 2005, pp:580-587 [Conf]
  9. M. Julia Flores, José A. Gámez
    Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction. [Citation Graph (0, 0)][DBLP]
    KES (2), 2005, pp:1338-1346 [Conf]
  10. Luis M. de Campos, José A. Gámez, Jose Miguel Puerta
    Graphical Models to Causal Discovery from Data. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  11. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:242-252 [Conf]
  12. M. Julia Flores, José A. Gámez, Kristian G. Olesen
    Incremental compilation of Bayesian networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:233-240 [Conf]
  13. Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, Jose Miguel Puerta
    Initial breeding value prediction on Manchego sheep by using rule-based systems. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:1, pp:96-109 [Journal]
  14. Luis M. de Campos, Juan M. Fernández-Luna, José A. Gámez, Jose Miguel Puerta
    Ant colony optimization for learning Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:31, n:3, pp:291-311 [Journal]
  15. Luis M. de Campos, José A. Gámez, Serafín Moral
    Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:2, pp:121-142 [Journal]
  16. Luis M. de Campos, José A. Gámez, Serafín Moral
    Partial abductive inference in Bayesian belief networks by simulated annealing. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:27, n:3, pp:263-283 [Journal]
  17. Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
    Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:1-3 [Journal]
  18. M. Julia Flores, José A. Gámez
    Triangulation of Bayesian networks by retriangulation. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:153-164 [Journal]
  19. José A. Gámez, Antonio Salmerón
    Probabilistic graphical models. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:2, pp:149-151 [Journal]
  20. Luis M. de Campos, José A. Gámez, Serafín Moral
    Simplifying Explanations in Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:4, pp:461-490 [Journal]
  21. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Initial approaches to the application of islands-based parallel EDAs in continuous domains. [Citation Graph (0, 0)][DBLP]
    J. Parallel Distrib. Comput., 2006, v:66, n:8, pp:991-1001 [Journal]
  22. Luis M. de Campos, José A. Gámez, Serafín Moral
    Partial abductive inference in Bayesian belief networks using a genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1211-1217 [Journal]
  23. José A. Gámez, Jose Miguel Puerta
    Searching for the best elimination sequence in Bayesian networks by using ant colony optimization. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2002, v:23, n:1-3, pp:261-277 [Journal]
  24. Luis M. de Campos, José A. Gámez, Serafín Moral
    Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Evolutionary Computation, 2002, v:6, n:2, pp:105-131 [Journal]
  25. José A. Gámez, Juan L. Mateo, Jose Miguel Puerta
    A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:585-597 [Conf]
  26. José A. Gámez, Juan L. Mateo, Jose Miguel Puerta
    EDNA: Estimation of Dependency Networks Algorithm. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:427-436 [Conf]
  27. José A. Gámez, Juan L. Mateo, Jose Miguel Puerta
    Improving Revisitation Browsers Capability by Using a Dynamic Bookmarks Personal Toolbar. [Citation Graph (0, 0)][DBLP]
    WISE, 2007, pp:643-652 [Conf]
  28. José A. Gámez, Juan L. Mateo, Jose Miguel Puerta
    Learning Bayesian Classifiers from Dependency Network Classifiers. [Citation Graph (0, 0)][DBLP]
    ICANNGA (1), 2007, pp:806-813 [Conf]
  29. Luis de la Ossa, José A. Gámez, Jose Miguel Puerta
    Improving model combination through local search in parallel univariate EDAs. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:1426-1433 [Conf]

  30. The PDG-Mixture Model for Clustering. [Citation Graph (, )][DBLP]


  31. HODE: Hidden One-Dependence Estimator. [Citation Graph (, )][DBLP]


  32. Comparing Cellular and Panmictic Genetic Algorithms for Real-Time Object Detection. [Citation Graph (, )][DBLP]


  33. Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions. [Citation Graph (, )][DBLP]


  34. Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm. [Citation Graph (, )][DBLP]


  35. Attribute Construction for E-Mail Foldering by Using Wrappered Forward Greedy Search. [Citation Graph (, )][DBLP]


  36. GAODE and HAODE: two proposals based on AODE to deal with continuous variables. [Citation Graph (, )][DBLP]


  37. Comparison of balancing techniques for multimedia IR over imbalanced datasets. [Citation Graph (, )][DBLP]


  38. Dependency networks based classifiers: learning models by using independence. [Citation Graph (, )][DBLP]


  39. Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials. [Citation Graph (, )][DBLP]


  40. The Independency tree model: a new approach for clustering and factorisation. [Citation Graph (, )][DBLP]


  41. Using Genetic Algorithms for Real-Time Object Detection. [Citation Graph (, )][DBLP]


  42. Incremental Wrapper-based subset Selection with replacement: An advantageous alternative to sequential forward selection. [Citation Graph (, )][DBLP]


  43. Avoiding premature convergence in estimation of distribution algorithms. [Citation Graph (, )][DBLP]


  44. An improved Markov-based localization approach by using image quality evaluation. [Citation Graph (, )][DBLP]


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