Nelson F. F. Ebecken

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 7

Top Topics

Discriminant Analysis

Top Venues

Publications

Gustavo de Araújo Carvalho, Peter J. Minnett, Nelson F. F. Ebecken, Luiz Landau
Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures - Part 1: Training and Testing Cross Validation. Remote. Sens. 14 (13) (2022)
Gustavo de Araújo Carvalho, Peter J. Minnett, Nelson F. F. Ebecken, Luiz Landau
Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data. Remote. Sens. 13 (17) (2021)
Manoel Domingues Junior, Nelson F. F. Ebecken
A new WAF architecture with machine learning for resource-efficient use. Comput. Secur. 106 (2021)
Gustavo de Araújo Carvalho, Peter J. Minnett, Nelson F. F. Ebecken, Luiz Landau
Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements. Remote. Sens. 12 (13) (2020)
Patricia Genovez, Nelson F. F. Ebecken, Corina da Costa Freitas, Cristina Maria Bentz, Ramon Freitas
Intelligent hybrid system for dark spot detection using SAR data. Expert Syst. Appl. 81 (2017)
Thiago Schons, Carolina R. Xavier, Alexandre G. Evsukoff, Nelson F. F. Ebecken, Vinicius da Fonseca Vieira
Analysis Spreading Patterns Generated by Model. ICCSA (5) (2016)
Carlos André R. Pinheiro, Véronique Van Vlasselaer, Bart Baesens, Alexandre G. Evsukoff, Moacyr A. H. B. da Silva, Nelson F. F. Ebecken
A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. CSOC (2) (2015)
Vinicius da Fonseca Vieira, Carolina Ribeiro Xavier, Nelson F. F. Ebecken, Alexandre G. Evsukoff
Modularity Based Hierarchical Community Detection in Networks. ICCSA (6) (2014)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti, Nelson F. F. Ebecken
The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. Int. J. Hybrid Intell. Syst. 11 (3) (2014)
Fabio de Souza, Marcus Salles, Fabio Campos, Silvio Costa, Myrian C. A. Costa, Nelson F. F. Ebecken
Specialized File Transfer Service for Large Oil and Gas Datasets. CCGRID (2013)
Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Douglas Adriano Augusto, Helio J. C. Barbosa
An immune-inspired instance selection mechanism for supervised classification. Memetic Comput. 4 (2) (2012)
Gilberto Carvalho Pereira, Fatima F. Santos, Nelson F. F. Ebecken
Centrality and Network Analysis in a Natural Perturbed Ecosystem. CompleNet (2012)
Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.
Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA (2011)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
Bayesian network classifiers: Beyond classification accuracy. Intell. Data Anal. 15 (3) (2011)
Gilberto Carvalho Pereira, Nelson F. F. Ebecken
Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring. Expert Syst. Appl. 38 (8) (2011)
Nelson F. F. Ebecken
A Process for Innovation in a Collaborative Network. J. Inf. Knowl. Manag. 10 (2) (2011)
Marcelo Beckmann, Beatriz Souza Leite Pires de Lima, Nelson F. F. Ebecken
Genetic algorithms as a pre processing strategy for imbalanced datasets. GECCO (Companion) (2011)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
A Bayesian imputation method for a clustering genetic algorithm. J. Comput. Methods Sci. Eng. 11 (4) (2011)
Rosa Cristhyna de Oliveira Vieira Paes, Gutemberg Borges França, Victor Daher, Angelo Sartori, Nelson F. F. Ebecken
Methodology for eddies recognition from satellite images. IGARSS (2010)
Marilia M. F. de Oliveira, Nelson F. F. Ebecken, Jorge L. F. de Oliveira, Luis Manoel Paiva Nunes
Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms. SBRN (2010)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2010)
Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken
Text Classification on a Grid Environment. VECPAR (2010)
Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. ICMLA (2010)
Alexandre G. Evsukoff, Sylvie Galichet, Beatriz Souza Leite Pires de Lima, Nelson F. F. Ebecken
Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization. Fuzzy Sets Syst. 160 (7) (2009)
Eduardo R. Hruschka, Antonio J. T. Garcia, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
On the influence of imputation in classification: practical issues. J. Exp. Theor. Artif. Intell. 21 (1) (2009)
Gilberto Carvalho Pereira, Nelson F. F. Ebecken
Knowledge discovering for coastal waters classification. Expert Syst. Appl. 36 (4) (2009)
Cristian Klen dos Santos, Alexandre G. Evsukoff, Beatriz Souza Leite Pires de Lima, Nelson F. F. Ebecken
Potential collaboration discovery using document clustering and community structure detection. CIKM-CNIKM (2009)
Otto M. Machado Filho, Nelson F. F. Ebecken
Visual RBF network design based on Star Coordinates. Adv. Eng. Softw. 40 (9) (2009)
L. A. Matsunaga, Nelson F. F. Ebecken
Term Weighting Approaches for Text Categorization Improving. ISDA (1) (2008)
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)
Douglas Adriano Augusto, Helio J. C. Barbosa, Nelson F. F. Ebecken
Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. GECCO (2008)
Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken
Using Stemming Algorithms on a Grid Environment. VECPAR (2008)
Carlos A. Gama, Alexandre G. Evsukoff, Philippe Weber, Nelson F. F. Ebecken
Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation. IEEE Trans. Fuzzy Syst. 16 (1) (2008)
Antonio Anddre Serpa, Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken
Text Mining Grid Services for Multiple Environments. VECPAR (2008)
Silvio Bortoleto, Nelson F. F. Ebecken
Ontology Model for Multi-relational Data Mining Application. ISDA (2) (2008)
Grazziela Patrocinio Figueredo, Luís Alfredo V. de Carvalho, Helio J. C. Barbosa, Nelson F. F. Ebecken
Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system. Evol. Intell. 1 (2) (2008)
Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. 63 (2) (2007)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. 29 (3) (2007)
Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa
The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. ICARIS (2007)
Saul D. de S. S. Pedro, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
WNB: A Weighted Naïve Bayesian Classifier. ISDA (2007)
Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Helio J. C. Barbosa
Suppression based immune mechanism to find arepresentative training set in data classification tasks. GECCO (2007)
Sebastião C. Pereira, Ulisses T. Mello, Nelson F. F. Ebecken, Rafi L. Muhanna
Uncertainty in Thermal Basin Modeling: An Interval Finite Element Approach. Reliab. Comput. 12 (6) (2006)
D. M. S. Martins, Fernando Otaviano Campos, Leandro Neumann Ciuffo, Rafael Sachetto Oliveira, Ronan M. Amorim, Vinicius F. Vieira, Nelson F. F. Ebecken, Ciro B. Barbosa, Rodrigo Weber dos Santos
A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications. VECPAR (2006)
Eduardo R. Hruschka, Nelson F. F. Ebecken
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. Neurocomputing 70 (1-3) (2006)
Marta V. Modenesi, Myrian C. A. Costa, Alexandre G. Evsukoff, Nelson F. F. Ebecken
Parallel Fuzzy c-Means Cluster Analysis. VECPAR (2006)
Carlos André R. Pinheiro, Alexandre G. Evsukoff, Nelson F. F. Ebecken
Revenue recovering with insolvency prevention on a Brazilian telecom operator. SIGKDD Explor. 8 (1) (2006)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Thiago F. Covoes, Nelson F. F. Ebecken
Bayesian Feature Selection for Clustering Problems. J. Inf. Knowl. Manag. 5 (4) (2006)
André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
GOLS - Genetic orthogonal least squares algorithm for training RBF networks. Neurocomputing 69 (16-18) (2006)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. (Applications) (2005)
Eduardo R. Hruschka, Thiago F. Covoes, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. HIS (2005)
Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. PKDD (2005)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) (2005)
Vincenzo de Roberto Junior, Nelson F. F. Ebecken, Elias Restum Antonio
A new approach for the discovery of conserved regions in DNA sequences. Neural Networks and Computational Intelligence (2004)
Gilberto Carvalho Pereira, Alexandre G. Evsukoff, Ricardo Coutinho, Nelson F. F. Ebecken
Coastal environmental management by fuzzy system modeling. FUZZ-IEEE (2004)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
Feature Selection by Bayesian Networks. Canadian Conference on AI (2004)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. Australian Conference on Artificial Intelligence (2004)
Alexandre G. Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken
Parallel Implementation of a Fuzzy Rule Based Classifier. VECPAR (2004)
Alexandre G. Evsukoff, Nelson F. F. Ebecken
Identification of recurrent fuzzy systems with genetic algorithms. FUZZ-IEEE (2004)
Alexandre G. Evsukoff, Nelson F. F. Ebecken
Mining Fuzzy Rules for a Traffic Information System. KES (2003)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. Australian Conference on Artificial Intelligence (2003)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. Appl. Artif. Intell. 17 (5-6) (2003)
S. R. R. Costa, L. G. Neves, F. Ayres, C. E. Mendonça, R. S. N. de Bragança, F. Gandour, L. V. Ferreira, Myrian C. A. Costa, Nelson F. F. Ebecken
GridBR: The Challenge of Grid Computing. GCC (1) (2003)
Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken
A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. SBBD (2003)
Eduardo R. Hruschka, Nelson F. F. Ebecken
A genetic algorithm for cluster analysis. Intell. Data Anal. 7 (1) (2003)
José L. A. Rosa, Nelson F. F. Ebecken
Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm. VECPAR (2002)
Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken
A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS (2002)
Estevam R. Hruschka Jr., Nelson F. F. Ebecken
Missing values prediction with K2. Intell. Data Anal. 6 (6) (2002)
Carmen N. M. Paz, Luiz Fernando Martha, José L. D. Alves, Eduardo M. R. Fairbairn, Nelson F. F. Ebecken, Alvaro L. G. A. Coutinho
Parallel Implementation for Probabilistic Analysis of 3D Discrete Cracking in Concrete. VECPAR (2002)
André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken
Growing Compact RBF Networks Using a Genetic Algorithm. SBRN (2002)
Mauricio Onoda, Nelson F. F. Ebecken
Implementação em Java de um Algoritmo de Árvore de Decisão Acoplado a um SGBD Relacional. SBBD (2001)
Eduardo R. Hruschka, Nelson F. F. Ebecken
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. IJCNN (3) (2000)
Eduardo R. Hruschka, Nelson F. F. Ebecken
A clustering algorithm for extracting rules from supervised neural network models in data mining tasks. Int. J. Comput. Syst. Signals 1 (1) (2000)
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
Mining a large database with a parallel database server. Intell. Data Anal. 3 (6) (1999)
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server. DEXA Workshop (1998)