| 2009 |
|---|
| 38 | EE | Carina Lopes,
Gerson Zaverucha:
HTILDE: scaling up relational decision trees for very large databases.
SAC 2009: 1475-1479 |
| 2008 |
|---|
| 37 | | Gerson Zaverucha,
Augusto Cesar Pinto Loureiro da Costa:
Advances in Artificial Intelligence - SBIA 2008, 19th Brazilian Symposium on Artificial Intelligence, Savador, Brazil, October 26-30, 2008. Proceedings
Springer 2008 |
| 36 | EE | Cristiano Grijó Pitangui,
Gerson Zaverucha:
Genetic local search for rule learning.
GECCO 2008: 1427-1428 |
| 35 | EE | Aloísio Carlos de Pina,
Gerson Zaverucha:
Combining attributes to improve the performance of Naive Bayes for Regression.
IJCNN 2008: 3210-3215 |
| 34 | EE | Ana Luísa Duboc,
Aline Paes,
Gerson Zaverucha:
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples.
ILP 2008: 91-106 |
| 2007 |
|---|
| 33 | EE | Cristiano Grijó Pitangui,
Gerson Zaverucha:
Improved natural crossover operators in GBIVIL.
IEEE Congress on Evolutionary Computation 2007: 2157-2164 |
| 32 | EE | Aloísio Carlos de Pina,
Gerson Zaverucha:
Applying REC Analysis to Ensembles of Particle Filters.
IJCNN 2007: 2352-2357 |
| 31 | EE | Aline Paes,
Gerson Zaverucha,
Vítor Santos Costa:
Revising First-Order Logic Theories from Examples Through Stochastic Local Search.
ILP 2007: 200-210 |
| 30 | EE | Juliana S. Bernardes,
Alberto M. R. Dávila,
Vítor Santos Costa,
Gerson Zaverucha:
A study of structural properties on profiles HMMs
CoRR abs/0704.2010: (2007) |
| 2006 |
|---|
| 29 | EE | Aloísio Carlos de Pina,
Gerson Zaverucha:
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks.
ESANN 2006: 425-430 |
| 28 | EE | Cristiano Grijó Pitangui,
Gerson Zaverucha:
Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator.
HIS 2006: 58 |
| 27 | EE | Aline Paes,
Kate Revoredo,
Gerson Zaverucha,
Vítor Santos Costa:
PFORTE: Revising Probabilistic FOL Theories.
IBERAMIA-SBIA 2006: 441-450 |
| 26 | EE | Aloísio Carlos de Pina,
Gerson Zaverucha:
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters.
ICANN (2) 2006: 151-160 |
| 25 | EE | Aline Paes,
Filip Zelezný,
Gerson Zaverucha,
C. David Page Jr.,
Ashwin Srinivasan:
ILP Through Propositionalization and Stochastic k-Term DNF Learning.
ILP 2006: 379-393 |
| 2005 |
|---|
| 24 | EE | Aline Paes,
Kate Revoredo,
Gerson Zaverucha,
Vítor Santos Costa:
Probabilistic First-Order Theory Revision from Examples.
ILP 2005: 295-311 |
| 2004 |
|---|
| 23 | EE | Marcelo Andrade Teixeira,
Gerson Zaverucha:
A Partitioning Method for Fuzzy Probabilistic Predictors.
ICONIP 2004: 929-934 |
| 22 | EE | Aloísio Carlos de Pina,
Gerson Zaverucha:
Improving the Performance of the RISE Algorithm.
PKDD 2004: 518-520 |
| 21 | EE | Kate Revoredo,
Gerson Zaverucha:
Search-Based Class Discretization for Hidden Markov Model for Regression.
SBIA 2004: 317-325 |
| 20 | EE | Fernanda Araujo Baião,
Marta Mattoso,
Gerson Zaverucha:
A Distribution Design Methodology for Object DBMS.
Distributed and Parallel Databases 16(1): 45-90 (2004) |
| 2003 |
|---|
| 19 | EE | Fernanda Araujo Baião,
Marta Mattoso,
Jude W. Shavlik,
Gerson Zaverucha:
Applying Theory Revision to the Design of Distributed Databases.
ILP 2003: 57-74 |
| 2002 |
|---|
| 18 | EE | Kate Revoredo,
Gerson Zaverucha:
Revision of First-Order Bayesian Classifiers.
ILP 2002: 223-237 |
| 17 | EE | Flavia Cruz,
Fernanda Araujo Baião,
Marta Mattoso,
Gerson Zaverucha:
Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases.
SBIA 2002: 216-226 |
| 16 | EE | Marcelo Andrade Teixeira,
Gerson Zaverucha:
Fuzzy Markov Predictor with First and Second-Order Dependences.
SBRN 2002: 80-85 |
| 15 | | Fernanda Araujo Baião,
Marta Mattoso,
Gerson Zaverucha:
A Framework for the Design of Distributed Databases.
WDAS 2002: 29-36 |
| 14 | EE | Marcelo Andrade Teixeira,
Gerson Zaverucha:
Fuzzy Bayes and Fuzzy Markov Predictors.
Journal of Intelligent and Fuzzy Systems 13(2-4): 155-165 (2002) |
| 2001 |
|---|
| 13 | EE | Rodrigo Basilio,
Gerson Zaverucha,
Valmir C. Barbosa:
Learning Logic Programs with Neural Networks.
ILP 2001: 15-26 |
| 2000 |
|---|
| 12 | | Alexandre L. Correa,
Cláudia Maria Lima Werner,
Gerson Zaverucha:
Object Oriented Design Expertise Reuse: An Approach Based on Heuristics, Design Patterns and Anti-patterns.
ICSR 2000: 336-352 |
| 1999 |
|---|
| 11 | | Artur S. d'Avila Garcez,
Gerson Zaverucha:
The Connectionist Inductive Learning and Logic Programming System.
Appl. Intell. 11(1): 59-77 (1999) |
| 1998 |
|---|
| 10 | EE | Fernanda Araujo Baião,
Marta Mattoso,
Gerson Zaverucha:
Towards an Inductive Design of Distributed Object Oriented Databases.
CoopIS 1998: 188-197 |
| 9 | | Nelson A. Hallack,
Gerson Zaverucha,
Valmir C. Barbosa:
Towards a Hybrid Model of First-Order Theory Refinement.
Hybrid Neural Systems 1998: 92-106 |
| 8 | | Romulo M. de Menezes,
Gerson Zaverucha,
Valmir C. Barbosa:
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks.
ICONIP 1998: 1497-1500 |
| 7 | | Rodrigo Basilio,
Gerson Zaverucha,
Artur S. d'Avila Garcez:
Inducing Relational Concepts with Neural Networks via the LINUS System.
ICONIP 1998: 1507-1510 |
| 6 | | Leonardo Fogel,
Gerson Zaverucha:
Normal Programs and Multiple Predicate Learning.
ILP 1998: 175-184 |
| 5 | | Fábio Protti,
Gerson Zaverucha:
On the Relations between Acceptable Programs and Stratifiable Classes.
SBIA 1998: 141-150 |
| 1995 |
|---|
| 4 | | Gerson Zaverucha,
Sheila R. M. Veloso:
A Goal Directed Reasoning for Semi-Normal Default Theories.
SBIA 1995: 112-120 |
| 1994 |
|---|
| 3 | | Gerson Zaverucha:
A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory.
KI 1994: 260-271 |
| 1992 |
|---|
| 2 | | Gerson Zaverucha:
Logical Foundations of a Modal Defeasible Relevant Logic of Belief.
ECAI 1992: 615-619 |
| 1 | | Gerson Zaverucha:
Relevant logic as a basis for paraconsistent epistemic logics.
Journal of Applied Non-Classical Logics 2(2): (1992) |
