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Gerson Zaverucha
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2020 – today
- 2024
- [j21]Thais Luca, Aline Paes, Gerson Zaverucha:
Word embeddings-based transfer learning for boosted relational dependency networks. Mach. Learn. 113(3): 1269-1302 (2024) - [c52]João Pedro Gandarela de Souza, Gerson Zaverucha, Artur S. d'Avila Garcez:
Hypergraph Neural Networks with Logic Clauses. IJCNN 2024: 1-8 - 2023
- [j20]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): 3782-3802 (2023) - [c51]Thais Luca, Aline Paes, Gerson Zaverucha:
Select First, Transfer Later: Choosing Proper Datasets for Statistical Relational Transfer Learning. ILP 2023: 62-76 - 2022
- [c50]Thais Luca, Aline Paes, Gerson Zaverucha:
Combining Word Embeddings-Based Similarity Measures for Transfer Learning Across Relational Domains. ILP 2022: 84-99 - 2021
- [c49]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: 41-46 - [c48]Leticia Freire de Figueiredo, Aline Paes, Gerson Zaverucha:
Transfer Learning for Boosted Relational Dependency Networks Through Genetic Algorithm. ILP 2021: 125-139 - [c47]Thais Luca, Aline Paes, Gerson Zaverucha:
Mapping Across Relational Domains for Transfer Learning with Word Embeddings-Based Similarity. ILP 2021: 167-182 - [p1]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:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Neuro-Symbolic Artificial Intelligence 2021: 1-51 - 2020
- [j19]Rodrigo Azevedo Santos, Aline Paes, Gerson Zaverucha:
Transfer learning by mapping and revising boosted relational dependency networks. Mach. Learn. 109(7): 1435-1463 (2020)
2010 – 2019
- 2019
- [j18]Victor Guimarães, Aline Paes, Gerson Zaverucha:
Online probabilistic theory revision from examples with ProPPR. Mach. Learn. 108(7): 1165-1189 (2019) - [c46]Tatiana Sciammarella, Gerson Zaverucha:
Weight Your Words: The Effect of Different Weighting Schemes on Wordification Performance. ILP 2019: 114-128 - 2018
- [j17]Roosevelt Sardinha, Aline Paes, Gerson Zaverucha:
Revising the structure of Bayesian network classifiers in the presence of missing data. Inf. Sci. 439-440: 108-124 (2018) - [c45]Felipe Carregosa, Aline Paes, Gerson Zaverucha:
Lightweight Neural Programming: The GRPU. ICANN (3) 2018: 218-227 - [c44]Pedro Delfino, Bruno Cuconato, Guilherme Paulino-Passos, Gerson Zaverucha, Alexandre Rademaker:
Using OpenWordnet-PT for Question Answering on Legal Domain. GWC 2018: 105-112 - 2017
- [j16]Ana Luísa Duboc, Aline Paes, Gerson Zaverucha:
On the formal characterization of the FORTE_MBC theory revision operators. J. Log. Comput. 27(8): 2551-2580 (2017) - [j15]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): 197-241 (2017) - [i2]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 abs/1711.03902 (2017) - 2016
- [j14]Juliana S. Bernardes, Fabio R. J. Vieira, Gerson Zaverucha, Alessandra Carbone:
A multi-objective optimization approach accurately resolves protein domain architectures. Bioinform. 32(3): 345-353 (2016) - [j13]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) - 2015
- [j12]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: 34:1-34:14 (2015) - [j11]Gerson Zaverucha, Vítor Santos Costa:
Guest editors' introduction: special issue on Inductive Logic Programming and on Multi-Relational Learning. Mach. Learn. 100(1): 1-3 (2015) - [c43]Manoel Vitor Macedo França, Gerson Zaverucha, Artur S. d'Avila Garcez:
Neural Relational Learning Through Semi-Propositionalization of Bottom Clauses. AAAI Spring Symposia 2015 - [c42]Manoel Vitor Macedo França, Artur S. d'Avila Garcez, Gerson Zaverucha:
Relational Knowledge Extraction from Neural Networks. CoCo@NIPS 2015 - 2014
- [j10]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): 81-104 (2014) - [e3]Gerson Zaverucha, Vítor Santos Costa, Aline Marins Paes:
Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to - 30th, 2013. CEUR Workshop Proceedings 1187, CEUR-WS.org 2014 [contents] - [e2]Gerson Zaverucha, Vítor Santos Costa, Aline Paes:
Inductive Logic Programming - 23rd International Conference, ILP 2013, Rio de Janeiro, Brazil, August 28-30, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8812, Springer 2014, ISBN 978-3-662-44922-6 [contents] - 2013
- [c41]Manoel V. M. França, Artur S. d'Avila Garcez, Gerson Zaverucha:
Relational Knowledge Extraction from Attribute-Value Learners. ICCSW 2013: 35-42 - 2012
- [c40]Artur S. d'Avila Garcez, Gerson Zaverucha:
Multi-instance learning using recurrent neural networks. IJCNN 2012: 1-6 - 2011
- [j9]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: 83 (2011) - [c39]Cristiano Grijó Pitangui, Gerson Zaverucha:
Inductive Logic Programming through Estimation of Distribution Algorithm. IEEE Congress on Evolutionary Computation 2011: 54-61 - [c38]Cristiano Grijó Pitangui, Gerson Zaverucha:
Learning Theories Using Estimation Distribution Algorithms and (Reduced) Bottom Clauses. ILP 2011: 286-301
2000 – 2009
- 2009
- [j8]Ana Luísa Duboc, Aline Paes, Gerson Zaverucha:
Using the bottom clause and mode declarations in FOL theory revision from examples. Mach. Learn. 76(1): 73-107 (2009) - [j7]Aloísio Carlos de Pina, Gerson Zaverucha:
Applying REC analysis to ensembles of particle filters. Neural Comput. Appl. 18(1): 25-35 (2009) - [c37]Stephen H. 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 - [c36]Carina Lopes, Gerson Zaverucha:
HTILDE: scaling up relational decision trees for very large databases. SAC 2009: 1475-1479 - 2008
- [j6]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) - [c35]Cristiano Grijó Pitangui, Gerson Zaverucha:
Genetic local search for rule learning. GECCO 2008: 1427-1428 - [c34]Aloísio Carlos de Pina, Gerson Zaverucha:
Combining attributes to improve the performance of Naive Bayes for Regression. IJCNN 2008: 3210-3215 - [c33]Ana Luísa Duboc, Aline Paes, Gerson Zaverucha:
Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples. ILP 2008: 91-106 - [e1]Gerson Zaverucha, Augusto Cesar Pinto Loureiro da Costa:
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 [contents] - 2007
- [j5]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) - [c32]Cristiano Grijó Pitangui, Gerson Zaverucha:
Improved natural crossover operators in GBIVIL. IEEE Congress on Evolutionary Computation 2007: 2157-2164 - [c31]Aloísio Carlos de Pina, Gerson Zaverucha:
Applying REC Analysis to Ensembles of Particle Filters. IJCNN 2007: 2352-2357 - [c30]Aline Paes, Gerson Zaverucha, Vítor Santos Costa:
Revising First-Order Logic Theories from Examples Through Stochastic Local Search. ILP 2007: 200-210 - [i1]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) - 2006
- [c29]Aloísio Carlos de Pina, Gerson Zaverucha:
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks. ESANN 2006: 425-430 - [c28]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 - [c27]Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa:
PFORTE: Revising Probabilistic FOL Theories. IBERAMIA-SBIA 2006: 441-450 - [c26]Aloísio Carlos de Pina, Gerson Zaverucha:
Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters. ICANN (2) 2006: 151-160 - [c25]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 - 2005
- [c24]Aline Paes, Kate Revoredo, Gerson Zaverucha, Vítor Santos Costa:
Probabilistic First-Order Theory Revision from Examples. ILP 2005: 295-311 - 2004
- [j4]Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha:
A Distribution Design Methodology for Object DBMS. Distributed Parallel Databases 16(1): 45-90 (2004) - [c23]Marcelo Andrade Teixeira, Gerson Zaverucha:
A Partitioning Method for Fuzzy Probabilistic Predictors. ICONIP 2004: 929-934 - [c22]Aloísio Carlos de Pina, Gerson Zaverucha:
Improving the Performance of the RISE Algorithm. PKDD 2004: 518-520 - [c21]Kate Revoredo, Gerson Zaverucha:
Search-Based Class Discretization for Hidden Markov Model for Regression. SBIA 2004: 317-325 - 2003
- [c20]Fernanda Araújo Baião, Marta Mattoso, Jude W. Shavlik, Gerson Zaverucha:
Applying Theory Revision to the Design of Distributed Databases. ILP 2003: 57-74 - 2002
- [j3]Marcelo Andrade Teixeira, Gerson Zaverucha:
Fuzzy Bayes and Fuzzy Markov Predictors. J. Intell. Fuzzy Syst. 13(2-4): 155-165 (2002) - [c19]Kate Revoredo, Gerson Zaverucha:
Revision of First-Order Bayesian Classifiers. ILP 2002: 223-237 - [c18]Flavia Cruz, Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha:
Towards a Theory Revision Approach for the Vertical Fragmentation of Object Oriented Databases. SBIA 2002: 216-226 - [c17]Marcelo Andrade Teixeira, Gerson Zaverucha:
Fuzzy Markov Predictor with First and Second-Order Dependences. SBRN 2002: 80-85 - [c16]Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha:
A Framework for the Design of Distributed Databases. WDAS 2002: 29-36 - 2001
- [c15]Rodrigo Basilio, Gerson Zaverucha, Valmir Carneiro Barbosa:
Learning Logic Programs with Neural Networks. ILP 2001: 15-26 - 2000
- [c14]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
1990 – 1999
- 1999
- [j2]Artur S. d'Avila Garcez, Gerson Zaverucha:
The Connectionist Inductive Learning and Logic Programming System. Appl. Intell. 11(1): 59-77 (1999) - [c13]Marcelo Andrade Teixeira, Gerson Zaverucha, Victor Navoarro Araujo Lemos da Silva, Guilherme Ferreira Ribeiro:
Recurrent neural gas in electric load forecasting. IJCNN 1999: 3468-3473 - [c12]Alvaro Kilkerry Neto, Gerson Zaverucha, Luís Alfredo Vidal de Carvalho:
An implementation of a theorem prover in symmetric neural networks. IJCNN 1999: 4139-4144 - 1998
- [c11]Fernanda Araújo Baião, Marta Mattoso, Gerson Zaverucha:
Towards an Inductive Design of Distributed Object Oriented Databases. CoopIS 1998: 188-197 - [c10]Nelson A. Hallack, Gerson Zaverucha, Valmir Carneiro Barbosa:
Towards a Hybrid Model of First-Order Theory Refinement. Hybrid Neural Systems 1998: 92-106 - [c9]Romulo M. de Menezes, Gerson Zaverucha, Valmir Carneiro Barbosa:
A Penalty-Function Approach to Rule Extraction from Knowledge-Based Neural Networks. ICONIP 1998: 1497-1500 - [c8]Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avila Garcez:
Inducing Relational Concepts with Neural Networks via the LINUS System. ICONIP 1998: 1507-1510 - [c7]Leonardo Fogel, Gerson Zaverucha:
Normal Programs and Multiple Predicate Learning. ILP 1998: 175-184 - [c6]Fábio Protti, Gerson Zaverucha:
On the Relations between Acceptable Programs and Stratifiable Classes. SBIA 1998: 141-150 - 1997
- [c5]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: 121-126 - 1995
- [c4]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: 1409-1413 - [c3]Gerson Zaverucha, Sheila R. M. Veloso:
A Goal Directed Reasoning for Semi-Normal Default Theories. SBIA 1995: 112-120 - 1994
- [c2]Gerson Zaverucha:
A Prioritized Contextual Default Logic: Curing Anomalous Extensions with a Simple Abnormality Default Theory. KI 1994: 260-271 - 1992
- [j1]Gerson Zaverucha:
Relevant logic as a basis for paraconsistent epistemic logics. J. Appl. Non Class. Logics 2(2): 225-241 (1992) - [c1]Gerson Zaverucha:
Logical Foundations of a Modal Defeasible Relevant Logic of Belief. ECAI 1992: 615-619 - 1990
- [b1]Gerson Zaverucha:
A nonmonotonic multi-agent logic of belief: a Modal Defeasible Relevant approach. Imperial College London, UK, 1990
Coauthor Index
aka: Aline Marins Paes
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last updated on 2024-09-21 02:41 CEST by the dblp team
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