Gerson Zaverucha

87 papers A 2B 34C 2Misc 3Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Correction to: Select First, Transfer Later: Choosing a Proper Dataset for SRL and GNN Based Transfer Learning. Mach. Learn. Thais Luca, Aline Paes, Gerson Zaverucha
2026	J	`jnl`	Select First, Transfer Later: Choosing a Proper Dataset for SRL and GNN Based Transfer Learning. Mach. Learn. Thais Luca, Aline Paes, Gerson Zaverucha
2025	J	`jnl`	A utility-driven approach to instance-based transfer learning for relational domains. Mach. Learn. Cainã Figueiredo Pereira, Daniel S. Menasché, Gerson Zaverucha, Aline Paes, Valmir C. Barbosa
2025	B	`conf`	Towards Robust Neurosymbolic Relational Learning. IJCNN Thais Luca, Aline Paes, Gerson Zaverucha, Artur d'Avila Garcez
2024	B	`conf`	Hypergraph Neural Networks with Logic Clauses. IJCNN João Pedro Gandarela de Souza, Gerson Zaverucha, Artur S. d'Avila Garcez
2024	J	`jnl`	Word embeddings-based transfer learning for boosted relational dependency networks. Mach. Learn. Thais Luca, Aline Paes, Gerson Zaverucha
2023	J	`jnl`	A Statistical Relational Learning Approach Towards Products, Software Vulnerabilities and Exploits. IEEE Trans. Netw. Serv. Manag. Cainã Figueiredo, João Gabriel Lopes de Oliveira, Rodrigo Azevedo Santos, Daniel Vieira, Lucas Miranda, Gerson Zaverucha, Leandro Pfleger de Aguiar, Daniel Sadoc Menasché
2023	B	`conf`	Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. ILP Thais Luca, Aline Paes, Gerson Zaverucha
2022	B	`conf`	Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. ILP Thais Luca, Aline Paes, Gerson Zaverucha
2021	B	`conf`	Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. ILP Thais Luca, Aline Paes, Gerson Zaverucha
2021	—	`ch.`	Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Neuro-Symbolic Artificial Intelligence Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
2021	Misc	`conf`	Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach. CSR Cainã Figueiredo, João Gabriel Lopes, Rodrigo Azevedo Santos, Gerson Zaverucha, Daniel Sadoc Menasché, Leandro Pfleger de Aguiar
2021	B	`conf`	Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. ILP Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha
2020	J	`jnl`	Transfer learning by mapping and revising boosted relational dependency networks. Mach. Learn. Rodrigo Azevedo Santos, Aline Paes, Gerson Zaverucha
2019	J	`jnl`	Online probabilistic theory revision from examples with ProPPR. Mach. Learn. Victor Guimarães, Aline Paes, Gerson Zaverucha
2019	B	`conf`	Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. ILP Tatiana Sciammarella, Gerson Zaverucha
2018	—	`conf`	Lightweight Neural Programming: The GRPU. ICANN (3) Felipe Carregosa, Aline Paes, Gerson Zaverucha
2018	J	`jnl`	Revising the structure of Bayesian network classifiers in the presence of missing data. Inf. Sci. Roosevelt Sardinha, Aline Paes, Gerson Zaverucha
2018	C	`conf`	Using OpenWordnet-PT for Question Answering on Legal Domain. GWC Pedro Delfino, Bruno Cuconato, Guilherme Paulino-Passos, Gerson Zaverucha, Alexandre Rademaker
2017	J	`jnl`	Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha
2017	J	`jnl`	On the formal characterization of the FORTE_MBC theory revision operators. J. Log. Comput. Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
2017	J	`jnl`	On the use of stochastic local search techniques to revise first-order logic theories from examples. Mach. Learn. Aline Paes, Gerson Zaverucha, Vítor Santos Costa
2016	J	`jnl`	A multi-objective optimization approach accurately resolves protein domain architectures. Bioinform. Juliana S. Bernardes, Fabio R. J. Vieira, Gerson Zaverucha, Alessandra Carbone
2016	J	`jnl`	Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence. PLoS Comput. Biol. Juliana S. Bernardes, Gerson Zaverucha, Catherine Vaquero, Alessandra Carbone
2015	J	`jnl`	Evaluation and improvements of clustering algorithms for detecting remote homologous protein families. BMC Bioinform. Juliana S. Bernardes, Fabio R. J. Vieira, Lygia Costa, Gerson Zaverucha
2015	J	`jnl`	Guest editors' introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning. Mach. Learn. Gerson Zaverucha, Vítor Santos Costa
2015	—	`conf`	Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses. AAAI Spring Symposia Manoel Vitor Macedo França, Gerson Zaverucha, Artur S. d'Avila Garcez
2015	—	`conf`	Relational Knowledge Extraction from Neural Networks. CoCo@NIPS Manoel Vitor Macedo França, Artur S. d'Avila Garcez, Gerson Zaverucha
2014	J	`jnl`	Fast relational learning using bottom clause propositionalization with artificial neural networks. Mach. Learn. Manoel V. M. França, Gerson Zaverucha, Artur S. d'Avila Garcez
2014	B	`ed.`	Inductive Logic Programming - 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers ILP Gerson Zaverucha, Vítor Santos Costa, Aline Paes
2014	—	`ed.`	Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to - 30th, 2013. ILP (Late Breaking Papers) Gerson Zaverucha, Vítor Santos Costa, Aline Marins Paes
2013	—	`conf`	Relational Knowledge Extraction from Attribute-Value Learners. ICCSW Manoel V. M. França, Artur S. d'Avila Garcez, Gerson Zaverucha
2012	B	`conf`	Multi-instance learning using recurrent neural networks. IJCNN Artur S. d'Avila Garcez, Gerson Zaverucha
2011	J	`jnl`	A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models. BMC Bioinform. Juliana S. Bernardes, Alessandra Carbone, Gerson Zaverucha
2011	B	`conf`	Inductive Logic Programming through Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation Cristiano Grijó Pitangui, Gerson Zaverucha
2011	B	`conf`	Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. ILP Cristiano Grijó Pitangui, Gerson Zaverucha
2009	J	`jnl`	Applying REC analysis to ensembles of particle filters. Neural Comput. Appl. Aloísio Carlos de Pina, Gerson Zaverucha
2009	B	`conf`	Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples. ILP Stephen H. Muggleton, Aline Paes, Vítor Santos Costa, Gerson Zaverucha
2009	Misc	`conf`	HTILDE: scaling up relational decision trees for very large databases. SAC Carina Lopes, Gerson Zaverucha
2009	J	`jnl`	Using the bottom clause and mode declarations in FOL theory revision from examples. Mach. Learn. Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
2008	—	`ed.`	Advances in Artificial Intelligence - SBIA 2008, 19th Brazilian Symposium on Artificial Intelligence, Savador, Brazil, October 26-30, 2008. Proceedings SBIA Gerson Zaverucha, Augusto Cesar Pinto Loureiro da Costa
2008	J	`jnl`	ClusterMiner: High Performance for Data, Text and Web Mining. Braz. J. Inf. Syst. Marta Mattoso, Nelson F. F. Ebecken, Gerson Zaverucha, Alexandre G. Evsukoff, Fernanda Baião, Myriam Costa, Guilherme Terra
2008	B	`conf`	Combining attributes to improve the performance of Naive Bayes for Regression. IJCNN Aloísio Carlos de Pina, Gerson Zaverucha
2008	A	`conf`	Genetic local search for rule learning. GECCO Cristiano Grijó Pitangui, Gerson Zaverucha
2008	B	`conf`	Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. ILP Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
2007	J	`jnl`	A study of structural properties on profiles HMMs CoRR Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha
2007	B	`conf`	Applying REC Analysis to Ensembles of Particle Filters. IJCNN Aloísio Carlos de Pina, Gerson Zaverucha
2007	B	`conf`	Improved natural crossover operators in GBIVIL. IEEE Congress on Evolutionary Computation Cristiano Grijó Pitangui, Gerson Zaverucha
2007	J	`jnl`	Improving model construction of profile HMMs for remote homology detection through structural alignment. BMC Bioinform. Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha
2007	B	`conf`	Revising First-Order Logic Theories from Examples Through Stochastic Local Search. ILP Aline Paes, Gerson Zaverucha, Vítor Santos Costa
2006	—	`conf`	Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. ICANN (2) Aloísio Carlos de Pina, Gerson Zaverucha
2006	C	`conf`	Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator. HIS Cristiano Grijó Pitangui, Gerson Zaverucha
2006	B	`conf`	ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
2006	—	`conf`	PFORTE: Revising Probabilistic FOL Theories. IBERAMIA-SBIA Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
2006	B	`conf`	Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. ESANN Aloísio Carlos de Pina, Gerson Zaverucha
2005	B	`conf`	Fuzzy multi-hidden Markov predictor in electric load forecasting. IJCNN Marcelo Andrade Teixeira, Gerson Zaverucha
2005	B	`conf`	Probabilistic First-Order Theory Revision from Examples. ILP Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
2004	J	`jnl`	A Distribution Design Methodology for Object DBMS. Distributed Parallel Databases Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha
2004	B	`conf`	A Partitioning Method for Fuzzy Probabilistic Predictors. ICONIP Marcelo Andrade Teixeira, Gerson Zaverucha
2004	B	`conf`	Fuzzy hidden Markov predictor in electric load forecasting. IJCNN Marcelo Andrade Teixeira, Gerson Zaverucha
2004	—	`conf`	Improving the Performance of the RISE Algorithm. PKDD Aloísio Carlos de Pina, Gerson Zaverucha
2004	—	`conf`	Search-Based Class Discretization for Hidden Markov Model for Regression. SBIA Kate Revoredo, Gerson Zaverucha
2003	B	`conf`	Applying Theory Revision to the Design of Distributed Databases. ILP Fernanda Araújo Baião, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha
2003	B	`conf`	Fuzzy Markov predictor in multi-step electric load forecasting. IJCNN Marcelo Andrade Teixeira, Gerson Zaverucha
2002	—	`conf`	A Framework for the Design of Distributed Databases. WDAS Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha
2002	J	`jnl`	Fuzzy Bayes and Fuzzy Markov Predictors. J. Intell. Fuzzy Syst. Marcelo Andrade Teixeira, Gerson Zaverucha
2002	—	`conf`	Fuzzy Markov Predictor with First and Second-Order Dependences. SBRN Marcelo Andrade Teixeira, Gerson Zaverucha
2002	B	`conf`	Revision of First-Order Bayesian Classifiers. ILP Kate Revoredo, Gerson Zaverucha
2002	—	`conf`	Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases. SBIA Flavia Cruz, Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha
2001	B	`conf`	Learning Logic Programs with Neural Networks. ILP Rodrigo Basilio, Gerson Zaverucha, Valmir Carneiro Barbosa
2000	B	`conf`	Object Oriented Design Expertise Reuse: An Approach Based on Heuristics, Design Patterns and Anti-patterns. ICSR Alexandre L. Correa, Cláudia Maria Lima Werner, Gerson Zaverucha
1999	B	`conf`	An implementation of a theorem prover in symmetric neural networks. IJCNN Alvaro Kilkerry Neto, Gerson Zaverucha, Luís Alfredo Vidal de Carvalho
1999	B	`conf`	Recurrent neural gas in electric load forecasting. IJCNN Marcelo Andrade Teixeira, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva, Guilherme Ferreira Ribeiro
1999	J	`jnl`	The Connectionist Inductive Learning and Logic Programming System. Appl. Intell. Artur S. d'Avila Garcez, Gerson Zaverucha
1998	B	`conf`	A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. ICONIP Romulo M. de Menezes, Gerson Zaverucha, Valmir Carneiro Barbosa
1998	B	`conf`	Inducing Relational Concepts with Neural Networks via the LINUS System. ICONIP Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez
1998	B	`conf`	Normal Programs and Multiple Predicate Learning. ILP Leonardo Fogel, Gerson Zaverucha
1998	—	`conf`	On the Relations between Acceptable Programs and Stratifiable Classes. SBIA Fábio Protti, Gerson Zaverucha
1998	—	`conf`	Towards a Hybrid Model of First-Order Theory Refinement. Hybrid Neural Systems Nelson A. Hallack, Gerson Zaverucha, Valmir Carneiro Barbosa
1998	B	`conf`	Towards an Inductive Design of Distributed Object Oriented Databases. CoopIS Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha
1997	—	`conf`	Applying the connectionist inductive learning and logic programming system to power system diagnosis. ICNN Artur S. d'Avila Garcez, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva
1995	—	`conf`	A Goal Directed Reasoning for Semi-Normal Default Theories. SBIA Gerson Zaverucha, Sheila R. M. Veloso
1995	—	`conf`	An integration of neural networks and nonmonotonic reasoning for power system diagnosis. ICNN Victor Navoarro Araujo Lemos da Silva, Guilherme N. F. de Souza, Gerson Zaverucha
1994	Misc	`conf`	A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. KI Gerson Zaverucha
1992	A	`conf`	Logical Foundations of a Modal Defeasible Relevant Logic of Belief. ECAI Gerson Zaverucha
1992	J	`jnl`	Relevant logic as a basis for paraconsistent epistemic logics. J. Appl. Non Class. Logics Gerson Zaverucha
1990	—	`—`	A nonmonotonic multi-agent logic of belief: a Modal Defeasible Relevant approach. Gerson Zaverucha