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Gerson Zaverucha: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
    Towards an Inductive Design of Distributed Object Oriented Databases. [Citation Graph (0, 0)][DBLP]
    CoopIS, 1998, pp:188-197 [Conf]
  2. Gerson Zaverucha
    Logical Foundations of a Modal Defeasible Relevant Logic of Belief. [Citation Graph (0, 0)][DBLP]
    ECAI, 1992, pp:615-619 [Conf]
  3. Aloísio Carlos de Pina, Gerson Zaverucha
    Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:425-430 [Conf]
  4. Cristiano Pitangui, Gerson Zaverucha
    Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:58- [Conf]
  5. Nelson A. Hallack, Gerson Zaverucha, Valmir C. Barbosa
    Towards a Hybrid Model of First-Order Theory Refinement. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:92-106 [Conf]
  6. Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
    PFORTE: Revising Probabilistic FOL Theories. [Citation Graph (0, 0)][DBLP]
    IBERAMIA-SBIA, 2006, pp:441-450 [Conf]
  7. Aloísio Carlos de Pina, Gerson Zaverucha
    Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:151-160 [Conf]
  8. Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez
    Inducing Relational Concepts with Neural Networks via the LINUS System. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1507-1510 [Conf]
  9. Romulo M. de Menezes, Gerson Zaverucha, Valmir C. Barbosa
    A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1497-1500 [Conf]
  10. Marcelo Andrade Teixeira, Gerson Zaverucha
    A Partitioning Method for Fuzzy Probabilistic Predictors. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:929-934 [Conf]
  11. Alexandre L. Correa, Cláudia Maria Lima Werner, Gerson Zaverucha
    Object Oriented Design Expertise Reuse: An Approach Based on Heuristics, Design Patterns and Anti-patterns. [Citation Graph (0, 0)][DBLP]
    ICSR, 2000, pp:336-352 [Conf]
  12. Leonardo Fogel, Gerson Zaverucha
    Normal Programs and Multiple Predicate Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:175-184 [Conf]
  13. Fernanda Araujo Baião, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha
    Applying Theory Revision to the Design of Distributed Databases. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:57-74 [Conf]
  14. Rodrigo Basilio, Gerson Zaverucha, Valmir C. Barbosa
    Learning Logic Programs with Neural Networks. [Citation Graph (0, 0)][DBLP]
    ILP, 2001, pp:15-26 [Conf]
  15. Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
    Probabilistic First-Order Theory Revision from Examples. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:295-311 [Conf]
  16. Kate Revoredo, Gerson Zaverucha
    Revision of First-Order Bayesian Classifiers. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:223-237 [Conf]
  17. Gerson Zaverucha
    A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. [Citation Graph (0, 0)][DBLP]
    KI, 1994, pp:260-271 [Conf]
  18. Aloísio Carlos de Pina, Gerson Zaverucha
    Improving the Performance of the RISE Algorithm. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:518-520 [Conf]
  19. Flavia Cruz, Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
    Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases. [Citation Graph (0, 0)][DBLP]
    SBIA, 2002, pp:216-226 [Conf]
  20. Fábio Protti, Gerson Zaverucha
    On the Relations between Acceptable Programs and Stratifiable Classes. [Citation Graph (0, 0)][DBLP]
    SBIA, 1998, pp:141-150 [Conf]
  21. Kate Revoredo, Gerson Zaverucha
    Search-Based Class Discretization for Hidden Markov Model for Regression. [Citation Graph (0, 0)][DBLP]
    SBIA, 2004, pp:317-325 [Conf]
  22. Gerson Zaverucha, Sheila R. M. Veloso
    A Goal Directed Reasoning for Semi-Normal Default Theories. [Citation Graph (0, 0)][DBLP]
    SBIA, 1995, pp:112-120 [Conf]
  23. Marcelo Andrade Teixeira, Gerson Zaverucha
    Fuzzy Markov Predictor with First and Second-Order Dependences. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:80-85 [Conf]
  24. Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
    A Framework for the Design of Distributed Databases. [Citation Graph (0, 0)][DBLP]
    WDAS, 2002, pp:29-36 [Conf]
  25. Artur S. d'Avila Garcez, Gerson Zaverucha
    The Connectionist Inductive Learning and Logic Programming System. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 1999, v:11, n:1, pp:59-77 [Journal]
  26. Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
    A Distribution Design Methodology for Object DBMS. [Citation Graph (0, 0)][DBLP]
    Distributed and Parallel Databases, 2004, v:16, n:1, pp:45-90 [Journal]
  27. Gerson Zaverucha
    Relevant logic as a basis for paraconsistent epistemic logics. [Citation Graph (0, 0)][DBLP]
    Journal of Applied Non-Classical Logics, 1992, v:2, n:2, pp:- [Journal]
  28. Marcelo Andrade Teixeira, Gerson Zaverucha
    Fuzzy Bayes and Fuzzy Markov Predictors. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:13, n:2-4, pp:155-165 [Journal]
  29. Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
    ILP Through Propositionalization and Stochastic k-Term DNF Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:379-393 [Conf]
  30. Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha
    A study of structural properties on profiles HMMs [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  31. Genetic local search for rule learning. [Citation Graph (, )][DBLP]


  32. Applying REC Analysis to Ensembles of Particle Filters. [Citation Graph (, )][DBLP]


  33. Combining attributes to improve the performance of Naive Bayes for Regression. [Citation Graph (, )][DBLP]


  34. Revising First-Order Logic Theories from Examples Through Stochastic Local Search. [Citation Graph (, )][DBLP]


  35. Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. [Citation Graph (, )][DBLP]


  36. Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. [Citation Graph (, )][DBLP]


  37. HTILDE: scaling up relational decision trees for very large databases. [Citation Graph (, )][DBLP]


  38. Improved natural crossover operators in GBIVIL. [Citation Graph (, )][DBLP]


  39. Improving model construction of profile HMMs for remote homology detection through structural alignment. [Citation Graph (, )][DBLP]


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