Gerson Zaverucha

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 18

Top Venues

Mach. Learn.

ILP

Bioinform.

IEEE Trans. Netw. Serv. Manag.

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Thais Luca, Aline Paes, Gerson Zaverucha
Word embeddings-based transfer learning for boosted relational dependency networks. Mach. Learn. 113 (3) (2024)
Cainã Figueiredo, João Gabriel Lopes de Oliveira, Rodrigo Azevedo Santos, Daniel Vieira, Lucas Miranda, Gerson Zaverucha, Leandro Pfleger de Aguiar, Daniel Sadoc Menasché
A Statistical Relational Learning Approach Towards Products, Software Vulnerabilities and Exploits. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Thais Luca, Aline Paes, Gerson Zaverucha
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. ILP (2023)
Thais Luca, Aline Paes, Gerson Zaverucha
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. ILP (2022)
Cainã Figueiredo, João Gabriel Lopes, Rodrigo Azevedo Santos, Gerson Zaverucha, Daniel Sadoc Menasché, Leandro Pfleger de Aguiar
Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach. CSR (2021)
Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. ILP (2021)
Thais Luca, Aline Paes, Gerson Zaverucha
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. ILP (2021)
Rodrigo Azevedo Santos, Aline Paes, Gerson Zaverucha
Transfer learning by mapping and revising boosted relational dependency networks. Mach. Learn. 109 (7) (2020)
Victor Guimarães, Aline Paes, Gerson Zaverucha
Online probabilistic theory revision from examples with ProPPR. Mach. Learn. 108 (7) (2019)
Tatiana Sciammarella, Gerson Zaverucha
Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. ILP (2019)
Roosevelt Sardinha, Aline Paes, Gerson Zaverucha
Revising the structure of Bayesian network classifiers in the presence of missing data. Inf. Sci. (2018)
Felipe Carregosa, Aline Paes, Gerson Zaverucha
Lightweight Neural Programming: The GRPU. ICANN (3) (2018)
Pedro Delfino, Bruno Cuconato, Guillherme Paulino Passos, Gerson Zaverucha, Alexandre Rademaker
Using OpenWordnet-PT for Question Answering on Legal Domain. GWC (2018)
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
On the use of stochastic local search techniques to revise first-order logic theories from examples. Mach. Learn. 106 (2) (2017)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
On the formal characterization of the FORTE_MBC theory revision operators. J. Log. Comput. 27 (8) (2017)
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
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR (2017)
Juliana S. Bernardes, Gerson Zaverucha, Catherine Vaquero, Alessandra Carbone
Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence. PLoS Comput. Biol. 12 (7) (2016)
Juliana S. Bernardes, Fabio R. j. Vieira, Gerson Zaverucha, Alessandra Carbone
A multi-objective optimization approach accurately resolves protein domain architectures. Bioinform. 32 (3) (2016)
Manoel Vitor Macedo França, Gerson Zaverucha, Artur S. d'Avila Garcez
Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses. AAAI Spring Symposia (2015)
Gerson Zaverucha, Vítor Santos Costa
Guest editors' introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning. Mach. Learn. 100 (1) (2015)
Juliana S. Bernardes, Fabio R. j. Vieira, Lygia Costa, Gerson Zaverucha
Evaluation and improvements of clustering algorithms for detecting remote homologous protein families. BMC Bioinform. 16 (2015)
Manoel Vitor Macedo França, Artur S. d'Avila Garcez, Gerson Zaverucha
Relational Knowledge Extraction from Neural Networks. CoCo@NIPS (2015)
Manoel V. M. França, Gerson Zaverucha, Artur S. d'Avila Garcez
Fast relational learning using bottom clause propositionalization with artificial neural networks. Mach. Learn. 94 (1) (2014)
Manoel V. M. França, Artur S. d'Avila Garcez, Gerson Zaverucha
Relational Knowledge Extraction from Attribute-Value Learners. ICCSW (2013)
Artur S. d'Avila Garcez, Gerson Zaverucha
Multi-instance learning using recurrent neural networks. IJCNN (2012)
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 Bioinform. 12 (2011)
Cristiano Grijó Pitangui, Gerson Zaverucha
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. ILP (2011)
Cristiano Grijó Pitangui, Gerson Zaverucha
Inductive Logic Programming through Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation (2011)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
Using the bottom clause and mode declarations in FOL theory revision from examples. Mach. Learn. 76 (1) (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)
Carina Lopes, Gerson Zaverucha
HTILDE: scaling up relational decision trees for very large databases. SAC (2009)
Aloísio Carlos de Pina, Gerson Zaverucha
Applying REC analysis to ensembles of particle filters. Neural Comput. Appl. 18 (1) (2009)
Marta Mattoso, Nelson F. F. Ebecken, Gerson Zaverucha, Alexandre G. Evsukoff, Fernanda Baião, Myriam Costa, Guilherme Terra
ClusterMiner: High Performance for Data, Text and Web Mining. Braz. J. Inf. Syst. 1 (1) (2008)
Aloísio Carlos de Pina, Gerson Zaverucha
Combining attributes to improve the performance of Naive Bayes for Regression. IJCNN (2008)
Cristiano Grijó Pitangui, Gerson Zaverucha
Genetic local search for rule learning. GECCO (2008)
Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. ILP (2008)
Aloísio Carlos de Pina, Gerson Zaverucha
Applying REC Analysis to Ensembles of Particle Filters. IJCNN (2007)
Aline Paes, Gerson Zaverucha, Vítor Santos Costa
Revising First-Order Logic Theories from Examples Through Stochastic Local Search. ILP (2007)
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 Bioinform. 8 (2007)
Juliana S. Bernardes, Alberto M. R. Dávila, Vítor Santos Costa, Gerson Zaverucha
A study of structural properties on profiles HMMs CoRR (2007)
Cristiano Grijó Pitangui, Gerson Zaverucha
Improved natural crossover operators in GBIVIL. IEEE Congress on Evolutionary Computation (2007)
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)
Aline Paes, Filip Zelezný, Gerson Zaverucha, C. David Page Jr., Ashwin Srinivasan
ILP Through Propositionalization and Stochastic k-Term DNF Learning. ILP (2006)
Aloísio Carlos de Pina, Gerson Zaverucha
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. ESANN (2006)
Aloísio Carlos de Pina, Gerson Zaverucha
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. ICANN (2) (2006)
Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
PFORTE: Revising Probabilistic FOL Theories. IBERAMIA-SBIA (2006)
Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa
Probabilistic First-Order Theory Revision from Examples. ILP (2005)
Marcelo Andrade Teixeira, Gerson Zaverucha
A Partitioning Method for Fuzzy Probabilistic Predictors. ICONIP (2004)
Kate Revoredo, Gerson Zaverucha
Search-Based Class Discretization for Hidden Markov Model for Regression. SBIA (2004)
Aloísio Carlos de Pina, Gerson Zaverucha
Improving the Performance of the RISE Algorithm. PKDD (2004)
Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
A Distribution Design Methodology for Object DBMS. Distributed Parallel Databases 16 (1) (2004)
Fernanda Araujo Baião, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha
Applying Theory Revision to the Design of Distributed Databases. ILP (2003)
Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
A Framework for the Design of Distributed Databases. WDAS (2002)
Flavia Cruz, Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases. SBIA (2002)
Marcelo Andrade Teixeira, Gerson Zaverucha
Fuzzy Markov Predictor with First and Second-Order Dependences. SBRN (2002)
Marcelo Andrade Teixeira, Gerson Zaverucha
Fuzzy Bayes and Fuzzy Markov Predictors. J. Intell. Fuzzy Syst. 13 (2-4) (2002)
Kate Revoredo, Gerson Zaverucha
Revision of First-Order Bayesian Classifiers. ILP (2002)
Rodrigo Basilio, Gerson Zaverucha, Valmir Carneiro Barbosa
Learning Logic Programs with Neural Networks. ILP (2001)
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)
Artur S. d'Avila Garcez, Gerson Zaverucha
The Connectionist Inductive Learning and Logic Programming System. Appl. Intell. 11 (1) (1999)
Alvaro Kilkerry Neto, Gerson Zaverucha, Luís Alfredo Vidal de Carvalho
An implementation of a theorem prover in symmetric neural networks. IJCNN (1999)
Marcelo Andrade Teixeira, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva, Guilherme Ferreira Ribeiro
Recurrent neural gas in electric load forecasting. IJCNN (1999)
Nelson A. Hallack, Gerson Zaverucha, Valmir Carneiro Barbosa
Towards a Hybrid Model of First-Order Theory Refinement. Hybrid Neural Systems (1998)
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez
Inducing Relational Concepts with Neural Networks via the LINUS System. ICONIP (1998)
Romulo M. de Menezes, Gerson Zaverucha, Valmir Carneiro Barbosa
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. ICONIP (1998)
Fábio Protti, Gerson Zaverucha
On the Relations between Acceptable Programs and Stratifiable Classes. SBIA (1998)
Leonardo Fogel, Gerson Zaverucha
Normal Programs and Multiple Predicate Learning. ILP (1998)
Fernanda Araujo Baião, Marta Mattoso, Gerson Zaverucha
Towards an Inductive Design of Distributed Object Oriented Databases. CoopIS (1998)
Artur S. d'Avila Garcez, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva
Applying the connectionist inductive learning and logic programming system to power system diagnosis. ICNN (1997)
Gerson Zaverucha, Sheila R. M. Veloso
A Goal Directed Reasoning for Semi-Normal Default Theories. SBIA (1995)
Victor Navoarro Araujo Lemos da Silva, Guilherme N. F. de Souza, Gerson Zaverucha
An integration of neural networks and nonmonotonic reasoning for power system diagnosis. ICNN (1995)
Gerson Zaverucha
A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. KI (1994)
Gerson Zaverucha
Relevant logic as a basis for paraconsistent epistemic logics. J. Appl. Non Class. Logics 2 (2) (1992)
Gerson Zaverucha
Logical Foundations of a Modal Defeasible Relevant Logic of Belief. ECAI (1992)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gerson Zaverucha