Gerson Zaverucha

Artur S. d'Avila Garcez, Gerson Zaverucha: Multi-instance learning using recurrent neural networks. IJCNN 2012: 1-6

Cristiano Grijó Pitangui, Gerson Zaverucha: Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. ILP 2012: 286-301

Juliana S. Bernardes, Alessandra Carbone, Gerson Zaverucha: A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models. BMC Bioinformatics 12: 83 (2011)

Cristiano Grijó Pitangui, Gerson Zaverucha: Inductive Logic Programming through Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2011: 54-61

Ana Luísa Duboc, Aline Paes, Gerson Zaverucha: Using the bottom clause and mode declarations in FOL theory revision from examples. Machine Learning 76(1): 73-107 (2009)

Aloísio Carlos de Pina, Gerson Zaverucha: Applying REC analysis to ensembles of particle filters. Neural Computing and Applications 18(1): 25-35 (2009)

Stephen Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha: Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. ILP 2009: 123-130

Carina Lopes, Gerson Zaverucha: HTILDE: scaling up relational decision trees for very large databases. SAC 2009: 1475-1479

Cristiano Grijó Pitangui, Gerson Zaverucha: Genetic local search for rule learning. GECCO 2008: 1427-1428

Aloísio Carlos de Pina, Gerson Zaverucha: Combining attributes to improve the performance of Naive Bayes for Regression. IJCNN 2008: 3210-3215

Ana Luísa Duboc, Aline Paes, Gerson Zaverucha: Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. ILP 2008: 91-106

Gerson Zaverucha, Augusto Cesar Pinto Loureiro da Costa (Eds.): Advances in Artificial Intelligence - SBIA 2008, 19th Brazilian Symposium on Artificial Intelligence, Savador, Brazil, October 26-30, 2008. Proceedings. Lecture Notes in Computer Science 5249, Springer 2008, isbn 978-3-540-88189-6

Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha: Improving model construction of profile HMMs for remote homology detection through structural alignment. BMC Bioinformatics 8 (2007)

Cristiano Grijó Pitangui, Gerson Zaverucha: Improved natural crossover operators in GBIVIL. IEEE Congress on Evolutionary Computation 2007: 2157-2164

Aloísio Carlos de Pina, Gerson Zaverucha: Applying REC Analysis to Ensembles of Particle Filters. IJCNN 2007: 2352-2357

Aline Paes, Gerson Zaverucha, Vítor Santos Costa: Revising First-Order Logic Theories from Examples Through Stochastic Local Search. ILP 2007: 200-210

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)

Aloísio Carlos de Pina, Gerson Zaverucha: Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. ESANN 2006: 425-430

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

Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa: PFORTE: Revising Probabilistic FOL Theories. IBERAMIA-SBIA 2006: 441-450

Aloísio Carlos de Pina, Gerson Zaverucha: Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. ICANN (2) 2006: 151-160

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

Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa: Probabilistic First-Order Theory Revision from Examples. ILP 2005: 295-311

Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha: A Distribution Design Methodology for Object DBMS. Distributed and Parallel Databases 16(1): 45-90 (2004)

Marcelo Andrade Teixeira, Gerson Zaverucha: A Partitioning Method for Fuzzy Probabilistic Predictors. ICONIP 2004: 929-934

Aloísio Carlos de Pina, Gerson Zaverucha: Improving the Performance of the RISE Algorithm. PKDD 2004: 518-520

Kate Revoredo, Gerson Zaverucha: Search-Based Class Discretization for Hidden Markov Model for Regression. SBIA 2004: 317-325

Fernanda Araujo Baião, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha: Applying Theory Revision to the Design of Distributed Databases. ILP 2003: 57-74

Marcelo Andrade Teixeira, Gerson Zaverucha: Fuzzy Bayes and Fuzzy Markov Predictors. Journal of Intelligent and Fuzzy Systems 13(2-4): 155-165 (2002)

Kate Revoredo, Gerson Zaverucha: Revision of First-Order Bayesian Classifiers. ILP 2002: 223-237

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

Marcelo Andrade Teixeira, Gerson Zaverucha: Fuzzy Markov Predictor with First and Second-Order Dependences. SBRN 2002: 80-85

Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha: A Framework for the Design of Distributed Databases. WDAS 2002: 29-36

Rodrigo Basilio, Gerson Zaverucha, Valmir C. Barbosa: Learning Logic Programs with Neural Networks. ILP 2001: 15-26

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

Artur S. d'Avila Garcez, Gerson Zaverucha: The Connectionist Inductive Learning and Logic Programming System. Appl. Intell. 11(1): 59-77 (1999)

Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha: Towards an Inductive Design of Distributed Object Oriented Databases. CoopIS 1998: 188-197

Nelson A. Hallack, Gerson Zaverucha, Valmir C. Barbosa: Towards a Hybrid Model of First-Order Theory Refinement. Hybrid Neural Systems 1998: 92-106

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

Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez: Inducing Relational Concepts with Neural Networks via the LINUS System. ICONIP 1998: 1507-1510

Leonardo Fogel, Gerson Zaverucha: Normal Programs and Multiple Predicate Learning. ILP 1998: 175-184

Fábio Protti, Gerson Zaverucha: On the Relations between Acceptable Programs and Stratifiable Classes. SBIA 1998: 141-150

Gerson Zaverucha, Sheila R. M. Veloso: A Goal Directed Reasoning for Semi-Normal Default Theories. SBIA 1995: 112-120

Gerson Zaverucha: A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. KI 1994: 260-271

Gerson Zaverucha: Relevant logic as a basis for paraconsistent epistemic logics. Journal of Applied Non-Classical Logics 2(2): 225-241 (1992)

Gerson Zaverucha: Logical Foundations of a Modal Defeasible Relevant Logic of Belief. ECAI 1992: 615-619