| 2025 | IJCNN | Towards Robust Neurosymbolic Relational Learning. | Thais Luca, Aline Paes, Gerson Zaverucha, Artur d'Avila Garcez |
| 2024 | IJCNN | Hypergraph Neural Networks with Logic Clauses. | Joo Pedro Gandarela de Souza, Gerson Zaverucha, Artur S. d'Avila Garcez |
| 2023 | ILP | Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2022 | ILP | Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2021 | ILP | Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. | Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha |
| 2021 | ILP | Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. | Thais Luca, Aline Paes, Gerson Zaverucha |
| 2019 | ILP | Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. | Tatiana Sciammarella, Gerson Zaverucha |
| 2018 | ICANN | Lightweight Neural Programming: The GRPU. | Felipe Carregosa, Aline Paes, Gerson Zaverucha |
| 2012 | IJCNN | Multi-instance learning using recurrent neural networks. | Artur S. d'Avila Garcez, Gerson Zaverucha |
| 2011 | CEC | Inductive Logic Programming through Estimation of Distribution Algorithm. | Cristiano Grij Pitangui, Gerson Zaverucha |
| 2011 | ILP | Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. | Cristiano Grij Pitangui, Gerson Zaverucha |
| 2009 | ILP | Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. | Stephen H. Muggleton, Aline Paes, Vtor Santos Costa, Gerson Zaverucha |
| 2009 | SAC | HTILDE: scaling up relational decision trees for very large databases. | Carina Lopes, Gerson Zaverucha |
| 2008 | GECCO | Genetic local search for rule learning. | Cristiano Grij Pitangui, Gerson Zaverucha |
| 2008 | IJCNN | Combining attributes to improve the performance of Naive Bayes for Regression. | Alosio Carlos de Pina, Gerson Zaverucha |
| 2008 | ILP | Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. | Ana Lusa Duboc, Aline Paes, Gerson Zaverucha |
| 2007 | CEC | Improved natural crossover operators in GBIVIL. | Cristiano Grij Pitangui, Gerson Zaverucha |
| 2007 | IJCNN | Applying REC Analysis to Ensembles of Particle Filters. | Alosio Carlos de Pina, Gerson Zaverucha |
| 2007 | ILP | Revising First-Order Logic Theories from Examples Through Stochastic Local Search. | Aline Paes, Gerson Zaverucha, Vtor Santos Costa |
| 2006 | ESANN | Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. | Alosio Carlos de Pina, Gerson Zaverucha |
| 2006 | HIS | Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator. | Cristiano Grij Pitangui, Gerson Zaverucha |
| 2006 | ICANN | Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. | Alosio Carlos de Pina, Gerson Zaverucha |
| 2006 | ILP | ILP Through Propositionalization and Stochastic k-Term DNF Learning. | Aline Paes, Filip Zelezn, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan |
| 2005 | IJCNN | Fuzzy multi-hidden Markov predictor in electric load forecasting. | Marcelo Andrade Teixeira, Gerson Zaverucha |
| 2005 | ILP | Probabilistic First-Order Theory Revision from Examples. | Aline Paes, Kate Revoredo, Gerson Zaverucha, Vtor Santos Costa |
| 2004 | ICONIP | A Partitioning Method for Fuzzy Probabilistic Predictors. | Marcelo Andrade Teixeira, Gerson Zaverucha |
| 2004 | IJCNN | Fuzzy hidden Markov predictor in electric load forecasting. | Marcelo Andrade Teixeira, Gerson Zaverucha |
| 2003 | IJCNN | Fuzzy Markov predictor in multi-step electric load forecasting. | Marcelo Andrade Teixeira, Gerson Zaverucha |
| 2003 | ILP | Applying Theory Revision to the Design of Distributed Databases. | Fernanda Arajo Baio, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha |
| 2002 | ILP | Revision of First-Order Bayesian Classifiers. | Kate Revoredo, Gerson Zaverucha |
| 2001 | ILP | Learning Logic Programs with Neural Networks. | Rodrigo Basilio, Gerson Zaverucha, Valmir Carneiro Barbosa |
| 2000 | ICSR | Object Oriented Design Expertise Reuse: An Approach Based on Heuristics, Design Patterns and Anti-patterns. | Alexandre L. Correa, Cludia Maria Lima Werner, Gerson Zaverucha |
| 1999 | IJCNN | An implementation of a theorem prover in symmetric neural networks. | Alvaro Kilkerry Neto, Gerson Zaverucha, Lus Alfredo Vidal de Carvalho |
| 1999 | IJCNN | Recurrent neural gas in electric load forecasting. | Marcelo Andrade Teixeira, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva, Guilherme Ferreira Ribeiro |
| 1998 | CoopIS | Towards an Inductive Design of Distributed Object Oriented Databases. | Fernanda Arajo Baio, Marta Mattoso, Gerson Zaverucha |
| 1998 | ICONIP | Inducing Relational Concepts with Neural Networks via the LINUS System. | Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez |
| 1998 | ICONIP | A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. | Romulo M. de Menezes, Gerson Zaverucha, Valmir Carneiro Barbosa |
| 1998 | ILP | Normal Programs and Multiple Predicate Learning. | Leonardo Fogel, Gerson Zaverucha |
| 1994 | KI | A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. | Gerson Zaverucha |
| 1992 | ECAI | Logical Foundations of a Modal Defeasible Relevant Logic of Belief. | Gerson Zaverucha |