Gerson Zaverucha

Instituição:

Universidade Federal do Rio de Janeiro

Centro:

Centro de Tecnologia

Unidade:

Coordenação dos Programas de Pós-Graduação de Engenharia

Departamento:

Programa de Engenharia de Sistemas/COPPE

ORCID:

https://orcid.org/0000-0002-3641-6839


Formação:

  • University of Wisconsin - Madison

    | Pós-Doutorado | 1999 - 2000

  • Imperial College Of Science Technology And Medicine

    Computer Science | Doutorado | 1985 - 1990

  • Rensselaer Polytechnic Institute

    Master of Engineering (M.E.) in Electric Power Systems | Mestrado Profissional | 1981 - 1982

  • Universidade Federal da Bahia

    Engenharia Eletrica | Graduação | 1977 - 1981
Laboratórios:
Nuvens de Palavras:
Artigos:

(82.61% artigos com DOI)

Titulo DOI Ano
Word embeddings-based transfer learning for boosted relational dependency networks 10.1007/s10994-023-06404-y 2024
A Statistical Relational Learning Approach Towards Products, Software Vulnerabilities and Exploits 10.1109/TNSM.2023.3234554 2023
Transfer learning by mapping and revising boosted relational dependency networks 10.1007/s10994-020-05871-x 2020
Online probabilistic theory revision from examples with ProPPR 10.1007/s10994-019-05798-y 2019
Revising the Structure of Bayesian Network Classifiers in the Presence of Missing Data 10.1016/j.ins.2018.02.011 2018
On the formal characterization of the FORTE_MBC theory revision operators 10.1093/logcom/exx015 2017
On the use of stochastic local search techniques to revise first-order logic theories from examples 10.1007/s10994-016-5595-3 2017
Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence 10.1371/journal.pcbi.1005038 2016
Evaluation and improvements of clustering algorithms for detecting remote homologous protein families 10.1186/s12859-014-0445-4 2015
Guest editors? introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning 10.1007/s10994-015-5514-z 2015
A multi-objective optimization approach accurately resolves protein domain architectures 10.1093/bioinformatics/btv582 2015
Fast relational learning using bottom clause propositionalization with artificial neural networks 10.1007/s10994-013-5392-1 2014
A discriminative method for family-based protein remote homology detection that combines inductive logic programming and propositional models 10.1186/1471-2105-12-83 2011
Applying REC analysis to ensembles of particle filters 10.1007/s00521-008-0199-x 2009
Using the bottom clause and mode declarations in FOL theory revision from examples 10.1007/s10994-009-5116-8 2009
Improving Model Construction of Profile HMMs for Remote Homology Detection Through Structural Alignment 10.1186/1471-2105-8-435 2007
A Distribution Design Methodology for Object DBMS 10.1023/B:DAPD.0000026268.04288.b9 2004
Fuzzy Bayes and Fuzzy Markov Predictors 2003
The Connectionist Inductive Learning and Logic Programming System 10.1023/A:1008328630915 1999
Recognizing Classes of Logic Programs 1997
A Computational Approach to Relevant Logics 1995
A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory 1994
RELEVANT LOGIC AS A BASIS FOR PARACONSISTENT EPISTEMIC LOGICS 10.1080/11663081.1992.10510783 1992
Eventos:

(34.92% eventos com DOI)

Titulo DOI Ano
Combining word embeddings-based similarity measures for transfer learning across relational domains. 2024
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning 2023
Transfer learning for boosted relational dependency networks through genetic algorithm 2022
Mapping across relational domains for transfer learning with word embeddings-based similarity 2022
Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach 10.1109/CSR51186.2021.9527984 2021
Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance 2020
Passing the Brazilian OAB Exam using openWordnet-PT 2018
Lightweight Neural Programming: The GRPU 2018
Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses 2015
Relational Knowledge Extraction from Neural Networks 2015
Aprendizado Local da Estrutura de Redes Bayesianas a partir de Dados Incompletos 2013
Relational Knowledge Extraction from Attribute-Value Learners 10.4230/OASIcs.ICCSW.2013.35 2013
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses 2012
Multi-instance learning using recurrent neural networks 10.1109/IJCNN.2012.6252784 2012
On the Effective Revision of (Bayesian) Logic Programs from Examples 2012
Fast Relational Learning using Bottom Clauses in Neural Networks 2012
Inductive Logic Programming through Estimation of Distribution Algorithm 10.1109/CEC.2011.5949597 2011
HTILDE-RT: Um algoritmo para aprender Árvores de Regressão Relacionais em grandes conjuntos de dados 2011
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples 10.1007/978-3-642-13840-9 2010
Algoritmo Genético Construtor de Modelo Probabilístico Aplicado à Programação em Lógica Indutiva 2010
Revisão de Teorias Relacionais Probabilísticas através de Exemplos com Invenção de Predicados 2010
HTILDE: Scaling Up Relational Decision Trees for Very Large Databases. 2010
HTILDE: Scaling Up Relational Decision Trees For Very Large Databases 10.1145/1529282.1529610 2009
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples 2009
Revisando Redes Bayesianas através da Introdução de Variáveis Não-observadas 2009
Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples 2009
Revising First-order Logic Theories from Examples through Stochastic Local Search 10.1007/978-3-540-78469-2_21 2008
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples 10.1007/978-3-540-85928-4 2008
Combining Attributes to Improve the Performance of Naive Bayes for Regression 10.1109/IJCNN.2008.4634253 2008
Genetic Local Search for Rule Learning 10.1145/1389095.1389372 2008
Remote Homology Detection Through Discriminative Statistical Relational Learning 2008
HTILDE: Tornando Árvores de Decisão Relacionais Escaláveis para Grandes Bases de Dados 2008
Busca Direcionada a Modos na Adição de Antecedentes em Revisão de Teorias de Primeira-ordem a partir de Exemplos 2008
Probabilistic First-order Theory Revision From Examples as a Challenge for Connectionism 2008
Summary on the discussions on Neural Symbolic Integration 2008
Aprendizado Genético de Regras de Decisão Utilizando a Codificação Natural e Novos Operadores de Recombinação. 2008
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples 2008
ILP through Propositionalization and Stochastic k-term DNF Learning 10.1007/978-3-540-73847-3_35 2007
Applying REC Analysis to Ensembles of Particle Filters 10.1109/ijcnn.2007.4371326 2007
Revisando Teorias Lógicas de Primeira-ordem a partir de Exemplos usando Busca Local Estocástica 2007
Aprendizado Genético: Operadores de Crossover Naturais Aprimorados 2007
Combinando Invenção de Predicados e Revisão de Teorias Probabilísticas de Primeira-ordem 2007
Melhorando a Performance do Algoritmo Naive Bayes para Regressão Através da Combinação de Atributos 2007
Improved Natural Crossover Operators in GBML 10.1109/CEC.2007.4424739 2007
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks 2006
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters 10.1007/11840930_16 2006
PFORTE: Revising Probabilistic FOL Theories 10.1007/11874850_48 2006
Um Método Geral para Tornar Algoritmos Fuzzy de Aprendizado de Máquinas Escaláveis para Bases de Dados Arbitrariamente Grandes 2006
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters 2006
Comparative Evaluation of Approaches to Scale Up ILP 2006
Combining Predicate Invention and Revision of Probabilistic FOL Theories 2006
ILP through Propositionalization and Stochastic k-term DNF Learning 2006
Uma Comparação de Métodos para Escalar a Programação em Lógica Indutiva para Grandes Bases de Dados 2006
Aprendizado Genético e Codificação Natural: Novo Operador e Mecanismo de Seleção de Características 2006
Genetic Based Machine Learning: Merging Pittsburgh and Michigan, an Implicit Feature Selection Mechanism and a New Crossover Operator 2006
Boosting for Regression Using Regression Error Characteristic Curves 2005
Fuzzy Multi-Hidden Markov Predictor in Electric Load Forecasting 10.1109/IJCNN.2005.1556146 2005
Probabilistic First-Order Theory Revision from Examples 10.1007/11536314_18 2005
Tornando Fuzzy C-Means Escalável para Bancos de Dados Arbitrariamente Grandes 2005
Revisão de Teorias Probabilísticas de Primeira-Ordem 2005
Further Results of Probabilistic First-Order Revision of Theories From Examples 10.1145/1090193.1090203 2005
A Partitioning Method Based on K-Means for Fuzzy Probabilistic Predictors 2005
Um Método de Particionamento Baseado no K-Means para Preditores Probabilísticos Fuzzy 2005
Comparação de Funções de Avaliação em Revisão de Teorias Probabilísticas de Primeira-Ordem 2005
Fuzzy Hidden Markov Predictor in Electric Load Forecasting 10.1109/IJCNN.2004.1379920 2004
Search-based Class Discretization for Hidden Markov Model for Regression 10.1007/b100195 2004
Improving the Performance of the RISE Algorithm 10.1007/b100704 2004
A Hybrid System for Electric Load Forecasting Using Dynamic Bayesian Networks and Fuzzy Logic 2004
A Partitioning Method for Fuzzy Probabilistic Predictors 10.1007/b103766 2004
SUNRISE: Improving the Performance of the RISE Algorithm 2004
Revision of First-Order Bayesian Classifiers 10.1007/3-540-36468-4_15 2003
Applying Theory Revision to the Design of Distributed Databases 10.1007/b13700 2003
Fuzzy Markov Predictor in Multi-Step Electric Load Forecasting 10.1109/IJCNN.2003.1224061 2003
Hidden Markov Model for Regression in Electric Load Forecasting 2003
SUNRISE: um algoritmo rápido de aprendizado multi-estratégia 2003
Fuzzy Markov Predictor in Electric Load Forecasting 10.1109/IJCNN.2002.1007520 2002
A Framework for the Design of Distributed Databases 2002
A Methodology and Algorithms for the Design of Distributed Databases using Theory Revision 2002
Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases 10.1007/3-540-36127-8_21 2002
Fuzzy Markov Predictor with First and Second-Order Dependences 10.1109/SBRN.2002.1181439 2002
Learning Logic Programs with Neural Networks 10.1007/3-540-44797-0_2 2001
Aprendizado de Programas em Lógica Utilizando Redes Neurais 2001
Relational Intersection as a Basis to Extend Neural Networks to Learn Relational Concepts 2001
Fuzzy Bayes Predictor in Electric Load Forecasting 10.1109/IJCNN.2001.938728 2001
Theory Refinement of Bayesian Logic Programs 2001
Theory Refinement of Bayesian Logic Programs 2001
First Order Cascade ARTMAP 2001
Towards a Hybrid Model of First-Order Theory Refinement 10.1007/10719871_7 2000
Object Oriented Design Expertise Reuse: an Approach Based on Heuristics, Design Patterns and Anti-Patterns 10.1007/b75206 2000
Horizontal Fragmentation in Object DBMS: New Issues and Performance Evaluation 10.1109/PCCC.2000.830308 2000
Uma Arquitetura de Suporte à Avaliaçao de Modelos Orientados a Objetos 2000
Applying Bayesian Neural Networks to Electric Load Forecasting 10.1109/ICONIP.1999.844023 1999
Recurrent Neural Gas in Electric Load Forecasting 10.1109/IJCNN.1999.836223 1999
An Implementation of a Theorem Prover in Symmetric Neural Networks 10.1109/IJCNN.1999.830827 1999
Evaluation and Comparison of Different Architectures Using Elman Networks Applied to Electric Load Forecasting 1999
On the Relations Between Acceptable Programs and Stratifiable Classes 10.1007/10692710_15 1998
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks 1998
Inducing Relational Concepts with Neural Networks Via the LINUS System 1998
Towards an Inductive Design of Distributed Object Oriented Database 10.1109/COOPIS.1998.706197 1998
Normal programs and Multiple Predicate Learning 10.1007/BFb0027321 1998
Issues in Knowledge Discovery in Databases 1998
A Knowledge-Based Perspective of the Distributed Design of Object Oriented databases 1998
Implementação de um Provador de Teoremas em Redes Neurais Simétricas 1998
Previsão de Cargas Elétricas Usando Redes de Elman 1998
LOGIC PROGRAMMING AND INDUCTIVE LEARNING IN ARTIFICIAL NEURAL NETWORKS 1997
Applying the Connectionist Inductive Learning and Logic Programming System to Power System Diagnosis 10.1109/ICNN.1997.611649 1997
Extensões do CIL2P: Um Sistema Neural para Programação em Lógica e Aprendizado Indutivo 1997
Modificando o Treinamento do CIL2P para Facilitar a Extração de Programas em Lógica 1997
Aplicando Invenção de Predicados ao Aprendizado de Múltiplos Predicados 1997
PROGRAMACAO EM LOGICA ESTENDIDA E APRENDIZADO INDUTIVO EM REDES NEURAIS 1996
LOGICAL INFERENCE AND INDUCTIVE LEARNING IN ARTIFICIAL NEURAL NETWORKS 1996
ON CUMULATIVE DEFAULT LOGIC WITH FILTERS 1996
AN ARGUMENTATION-BASED SEMANTICS FOR DEFAULT LOGICS 1996
AN INTEGRATION OF NEURAL NETWORKS AND NONMONOTONIC REASONING FOR POWER SYSTEMS DIAGNOSIS 10.1109/ICNN.1995.487365 1995
A GOAL-DIRECTED REASONING FOR SEMI-NORMAL DEFAULT THEORIES 10.1007/BFb0034804 1995
INFERENCIA LOGICA E APRENDIZADO AUTOMATICO EM REDES NEURAIS: UMA REPRESENTACAO INTEGRADA DO CONHECIMENTO 1995
A COMPUTATIONAL APPROACH TO RELEVANT LOGICS 1995
DIAGNOSE EM SISTEMAS DE POTENCIA UTILIZANDO SISTEMAS ESPECIALISTAS 1995
SISTEMA HIBRIDO DE PROCESSAMENTO DE ALARMES PARA DIAGNOSE 1995
A PRIORITIZED CONTEXTUAL DEFAULT LOGIC: CURING ANOMALOUS EXTENSIONS WITH A SIMPLE ABNORMALITY DEFAULT THEORY 10.1007/3-540-58467-6_23 1994
ARTIFICIAL NEURAL NETWORKS FOR POWER SYSTEMS DIAGNOSIS 10.1109/ICNN.1994.374804 1994
AN EXTENSION OF POOLES LOGICAL FRAMEWORK FOR DEFAULT REASONING TO MULTIPLE AGENTS 1993
Uma Teoria de Prova Dirigida Por Objetivo Para Teorias Default Genéricas 1993
LOGICAL FOUNDATIONS OF A MODAL DEFEASIBLE RELEVANT LOGIC OF BELIEF 1992
A GOAL DIRECTED THEOREM PROVER FOR A MODAL DEFEASIBLE RELEVANT LOGIC 1991
Método de Simulação de Cargas para o Cálculo de Potenciais e Campos Eletrostáticos 1985
Publicações:
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