The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.116secs, Finished in 0.119secs
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