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Estevam R. Hruschka Jr.: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    Feature Selection by Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:370-379 [Conf]
  2. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:723-734 [Conf]
  3. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2004, pp:513-525 [Conf]
  4. Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:405-410 [Conf]
  5. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:453-461 [Conf]
  6. Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
    Initializing an Exemplar Based Learning Process from a RuleNet Network. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:125-130 [Conf]
  7. Edimilson B. Batista dos Santos, Estevam R. Hruschka Jr.
    VOGA: Variable Ordering Genetic Algorithm for Learning Bayesian Classifiers. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:56- [Conf]
  8. João Roberto Bertini Jr., Maria do Carmo Nicoletti, Estevam R. Hruschka Jr., Arthur Ramer
    Two Variants of the Constructive Neural Network Tiling Algorithm. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:49- [Conf]
  9. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Missing Values Imputation for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:245-254 [Conf]
  10. Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    SBBD, 2003, pp:319-327 [Conf]
  11. Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
    A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:5-6, pp:489-506 [Journal]
  12. Estevam R. Hruschka Jr., Nelson F. F. Ebecken
    Missing values prediction with K2. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:6, pp:557-566 [Journal]
  13. Sebastian D. C. de O. Galvão, Estevam R. Hruschka Jr.
    A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2007, pp:355-364 [Conf]
  14. Diego P. Vivencio, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Edimilson B. dos Santos, Sebastian D. C. de O. Galvão
    Feature-weighted k-Nearest Neighbor Classifier. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:481-486 [Conf]
  15. Maria do Carmo Nicoletti, Lucas Baggio Figueira, Estevam R. Hruschka Jr.
    Transferring neural network based knowledge into an exemplar-based learner. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2007, v:16, n:3, pp:257-265 [Journal]

  16. Toward an Architecture for Never-Ending Language Learning. [Citation Graph (, )][DBLP]


  17. BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base. [Citation Graph (, )][DBLP]


  18. Markov-Blanket Based Strategy for Translating a Bayesian Classifier into a Reduced Set of Classification Rules. [Citation Graph (, )][DBLP]


  19. Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach. [Citation Graph (, )][DBLP]


  20. The Impact of Pruning BayesFuzzy Rule Set. [Citation Graph (, )][DBLP]


  21. Populating the Semantic Web by Macro-reading Internet Text. [Citation Graph (, )][DBLP]


  22. Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. [Citation Graph (, )][DBLP]


  23. Coupled semi-supervised learning for information extraction. [Citation Graph (, )][DBLP]


  24. Applying Bayesian Networks for Meteorological Data Mining. [Citation Graph (, )][DBLP]


  25. Towards efficient variables ordering for Bayesian networks classifier. [Citation Graph (, )][DBLP]


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