Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server. - Mauro Sousa; Marta Mattoso; Nelson F. F. Ebecken (DEXA Workshop, 1998)

Rule extraction from neural networks: modified RX algorithm. - Eduardo R. Hruschka; Nelson Francisco Favilla Ebecken (IJCNN, 1999)

Mining a large database with a parallel database server. - Mauro Sousa; Marta Mattoso; Nelson F. F. Ebecken (Intell. Data Anal., 1999)

Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. - Eduardo R. Hruschka; Nelson F. F. Ebecken (IJCNN (3), 2000)

A clustering algorithm for extracting rules from supervised neural network models in data mining tasks. - Eduardo R. Hruschka; Nelson F. F. Ebecken (Int. J. Comput. Syst. Signals, 2000)

Implementação em Java de um Algoritmo de Árvore de Decisão Acoplado a um SGBD Relacional. - Mauricio Onoda; Nelson F. F. Ebecken (SBBD, 2001)

A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (HIS, 2002)

Growing Compact RBF Networks Using a Genetic Algorithm. - André da Motta Salles Barreto; Helio J. C. Barbosa; Nelson F. F. Ebecken (SBRN, 2002)

Parallel Implementation for Probabilistic Analysis of 3D Discrete Cracking in Concrete. - Carmen N. M. Paz; Luiz Fernando Martha; José L. D. Alves; Eduardo M. R. Fairbairn; Nelson F. F. Ebecken; Alvaro L. G. A. Coutinho (VECPAR, 2002)

Data Mining for Data Classification Based on the KNN-Fuzzy Method Supported by Genetic Algorithm. - José L. A. Rosa; Nelson F. F. Ebecken (VECPAR, 2002)

Missing values prediction with K2. - Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (Intell. Data Anal., 2002)

Evaluating a Nearest-Neighbor Method to Substitute Continuous Missing Values. - Eduardo R. Hruschka; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (Australian Conference on Artificial Intelligence, 2003)

GridBR: The Challenge of Grid Computing. - 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 (GCC (1), 2003)

Mining Fuzzy Rules for a Traffic Information System. - Alexandre G. Evsukoff; Nelson F. F. Ebecken (KES, 2003)

A Nearest-Neighbor Method as a Data Preparation Tool for a Clustering Genetic Algorithm. - Eduardo R. Hruschka; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (SBBD, 2003)

A Feature Selection Bayesian Approach for Extracting Classification Rules with a Clustering Genetic Algorithm. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (Appl. Artif. Intell., 2003)

A genetic algorithm for cluster analysis. - Eduardo R. Hruschka; Nelson F. F. Ebecken (Intell. Data Anal., 2003)

Feature Selection by Bayesian Networks. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (Canadian AI, 2004)

Towards Efficient Imputation by Nearest-Neighbors: A Clustering-Based Approach. - Eduardo R. Hruschka; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (Australian Conference on Artificial Intelligence, 2004)

Identification of recurrent fuzzy systems with genetic algorithms. - Alexandre G. Evsukoff; Nelson F. F. Ebecken (FUZZ-IEEE, 2004)

Coastal environmental management by fuzzy system modeling. - Gilberto Carvalho Pereira; Alexandre G. Evsukoff; Ricardo Coutinho; Nelson F. F. Ebecken (FUZZ-IEEE, 2004)

A new approach for the discovery of conserved regions in DNA sequences. - Vincenzo de Roberto Junior; Nelson F. F. Ebecken; Elias Restum Antonio (Neural Networks and Computational Intelligence, 2004)

Parallel Implementation of a Fuzzy Rule Based Classifier. - Alexandre G. Evsukoff; Myrian C. A. Costa; Nelson F. F. Ebecken (VECPAR, 2004)

Feature Selection for Clustering Problems: a Hybrid Algorithm that Iterates Between k-means and a Bayesian Filter. - Eduardo R. Hruschka; Thiago F. Covoes; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (HIS, 2005)

Missing Values Imputation for a Clustering Genetic Algorithm. - Eduardo R. Hruschka; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (ICNC (3), 2005)

Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. - Deborah R. Carvalho; Alex Alves Freitas; Nelson F. F. Ebecken (PKDD, 2005)

Applying Bayesian Networks for Meteorological Data Mining. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (SGAI Conf. (Applications), 2005)

A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications. - D. M. S. Martins; Fernando Otaviano Campos; Leandro Neumann Ciuffo; Rafael Sachetto Oliveira; Ronan M. Amorim; Vinícius F. Vieira; Nelson F. F. Ebecken; Ciro de Barros Barbosa; Rodrigo Weber dos Santos (VECPAR, 2006)

Parallel Fuzzy c-Means Cluster Analysis. - Marta V. Modenesi; Myrian C. A. Costa; Alexandre G. Evsukoff; Nelson F. F. Ebecken (VECPAR, 2006)

GOLS - Genetic orthogonal least squares algorithm for training RBF networks. - André da Motta Salles Barreto; Helio J. C. Barbosa; Nelson F. F. Ebecken (Neurocomputing, 2006)

Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. - Eduardo R. Hruschka; Nelson F. F. Ebecken (Neurocomputing, 2006)

Bayesian Feature Selection for Clustering Problems. - Eduardo R. Hruschka; Estevam R. Hruschka Jr.; Thiago F. Covoes; Nelson F. F. Ebecken (J. Inf. Knowl. Manag., 2006)

Uncertainty in Thermal Basin Modeling: An Interval Finite Element Approach. - Sebastião C. Pereira; Ulisses T. Mello; Nelson F. F. Ebecken; Rafi L. Muhanna (Reliab. Comput., 2006)

Revenue recovering with insolvency prevention on a Brazilian telecom operator. - Carlos André R. Pinheiro; Alexandre G. Evsukoff; Nelson F. F. Ebecken (SIGKDD Explor., 2006)

Suppression based immune mechanism to find arepresentative training set in data classification tasks. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Helio J. C. Barbosa (GECCO, 2007)

The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Helio J. C. Barbosa (ICARIS, 2007)

Automatic recognition of coastal and oceanic environmental events with orbital radars. - Cristina Maria Bentz; Alexandre Tadeu Politano; Nelson Francisco Favilla Ebecken (IGARSS, 2007)

WNB: A Weighted Naïve Bayesian Classifier. - Saul D. de S. S. Pedro; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (ISDA, 2007)

Towards efficient variables ordering for Bayesian networks classifier. - Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (Data Knowl. Eng., 2007)

Bayesian networks for imputation in classification problems. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (J. Intell. Inf. Syst., 2007)

Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. - Douglas Adriano Augusto; Helio J. C. Barbosa; Nelson F. F. Ebecken (GECCO, 2008)

Ontology Model for Multi-relational Data Mining Application. - Silvio Bortoleto; Nelson F. F. Ebecken (ISDA (2), 2008)

Term Weighting Approaches for Text Categorization Improving. - L. A. Matsunaga; Nelson F. F. Ebecken (ISDA (1), 2008)

Using Stemming Algorithms on a Grid Environment. - Valeriana G. Roncero; Myrian C. A. Costa; Nelson F. F. Ebecken (VECPAR, 2008)

Text Mining Grid Services for Multiple Environments. - Antonio Anddre Serpa; Valeriana G. Roncero; Myrian C. A. Costa; Nelson F. F. Ebecken (VECPAR, 2008)

Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system. - Grazziela Patrocinio Figueredo; Luís Alfredo V. de Carvalho; Helio J. C. Barbosa; Nelson F. F. Ebecken (Evol. Intell., 2008)

ClusterMiner: High Performance for Data, Text and Web Mining. - Marta Mattoso; Nelson F. F. Ebecken; Gerson Zaverucha; Alexandre G. Evsukoff; Fernanda Baião; Myriam Costa; Guilherme Terra (Braz. J. Inf. Syst., 2008)

Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation. - Carlos A. Gama; Alexandre G. Evsukoff; Philippe Weber; Nelson F. F. Ebecken (IEEE Trans. Fuzzy Syst., 2008)

Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms. - Vincenzo de Roberto Junior; Nelson F. F. Ebecken; Elias Restum Antonio (Computational Intelligence in Medical Informatics, 2008)

Potential collaboration discovery using document clustering and community structure detection. - Cristian Klen dos Santos; Alexandre G. Evsukoff; Beatriz Souza Leite Pires de Lima; Nelson F. F. Ebecken (CIKM-CNIKM, 2009)

Visual RBF network design based on Star Coordinates. - Otto M. Machado Filho; Nelson F. F. Ebecken (Adv. Eng. Softw., 2009)

Knowledge discovering for coastal waters classification. - Gilberto Carvalho Pereira; Nelson F. F. Ebecken (Expert Syst. Appl., 2009)

Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization. - Alexandre G. Evsukoff; Sylvie Galichet; Beatriz Souza Leite Pires de Lima; Nelson F. F. Ebecken (Fuzzy Sets Syst., 2009)

On the influence of imputation in classification: practical issues. - Eduardo R. Hruschka; Antonio J. T. Garcia; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (J. Exp. Theor. Artif. Intell., 2009)

Electronic Records with Cardiovascular Monitoring System. - Angelmar Constantino Roman; Hugo Bulegon; Silvio Bortoleto; Nelson F. F. Ebecken (Computer Recognition Systems 3, 2009)

A Distance-Based Mutation Operator for learning Bayesian Network structures using Evolutionary Algorithms. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (IEEE Congress on Evolutionary Computation, 2010)

Coevolutionary multi-population genetic programming for data classification. - Douglas Adriano Augusto; Helio José Corrêa Barbosa; Nelson Francisco Favilla Ebecken (GECCO, 2010)

Evolutionary Algorithm Using Random Multi-point Crossover Operator for Learning Bayesian Network Structures. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Nelson F. F. Ebecken (ICMLA, 2010)

Methodology for eddies recognition from satellite images. - Rosa Cristhyna de Oliveira Vieira Paes; Gutemberg Borges França; Victor Daher; Angelo Sartori; Nelson F. F. Ebecken (IGARSS, 2010)

Artificial Neural Network for Predicting Extreme Sea Level Variation Associated with Severe Storms. - Marilia M. F. de Oliveira; Nelson F. F. Ebecken; Jorge L. F. de Oliveira; Luis Manoel Paiva Nunes (SBRN, 2010)

Text Classification on a Grid Environment. - Valeriana G. Roncero; Myrian C. A. Costa; Nelson F. F. Ebecken (VECPAR, 2010)

Genetic algorithms as a pre processing strategy for imbalanced datasets. - Marcelo Beckmann; Beatriz Souza Leite Pires de Lima; Nelson F. F. Ebecken (GECCO (Companion), 2011)

Learning Bayesian Network structures using Multiple Offspring Sampling. - Edimilson Batista dos Santos; Nelson F. F. Ebecken; Estevam R. Hruschka Jr. (ISDA, 2011)

Concept map construction applying natural language processing on text extracted from e-commerce web pages. - Graziella Martins Caputo; Nelson Francisco Favilla Ebecken (NaBIC, 2011)

Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring. - Gilberto Carvalho Pereira; Nelson F. F. Ebecken (Expert Syst. Appl., 2011)

Bayesian network classifiers: Beyond classification accuracy. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (Intell. Data Anal., 2011)

A Bayesian imputation method for a clustering genetic algorithm. - Estevam R. Hruschka Jr.; Eduardo R. Hruschka; Nelson F. F. Ebecken (J. Comput. Methods Sci. Eng., 2011)

A Process for Innovation in a Collaborative Network. - Nelson F. F. Ebecken (J. Inf. Knowl. Manag., 2011)

Centrality and Network Analysis in a Natural Perturbed Ecosystem. - Gilberto Carvalho Pereira; Fatima F. Santos; Nelson F. F. Ebecken (CompleNet, 2012)

An immune-inspired instance selection mechanism for supervised classification. - Grazziela Patrocinio Figueredo; Nelson F. F. Ebecken; Douglas Adriano Augusto; Helio J. C. Barbosa (Memetic Comput., 2012)

Specialized File Transfer Service for Large Oil and Gas Datasets. - Fabio de Souza; Marcus Salles; Fabio Campos; Silvio Costa; Myrian C. A. Costa; Nelson F. F. Ebecken (CCGRID, 2013)

Modularity Based Hierarchical Community Detection in Networks. - Vinícius da Fonseca Vieira; Carolina Ribeiro Xavier; Nelson F. F. Ebecken; Alexandre G. Evsukoff (ICCSA (6), 2014)

Community Detection by an Efficient Ant Colony Approach. - Lúcio Pereira de Andrade; Rogério Pinto Espíndola; Nelson Francisco Favilla Ebecken (ISMIS, 2014)

Parallel WiSARD object tracker: a ram-based tracking system. - Rodrigo da Silva Moreira; Nelson Francisco Favilla Ebecken (CoRR, 2014)

The influences of canonical evolutionary algorithm operators and variable orderings in learning Bayesian classifiers from data. - Edimilson Batista dos Santos; Estevam R. Hruschka Jr.; Maria do Carmo Nicoletti; Nelson F. F. Ebecken (Int. J. Hybrid Intell. Syst., 2014)

Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks. - Carolina Ribeiro Xavier; Vinícius da Fonseca Vieira; Nelson Francisco Favilla Ebecken; Alexandre Gonçalves Evsukoff (CompleNet, 2015)

A Models Comparison to Estimate Commuting Trips Based on Mobile Phone Data. - Carlos André R. Pinheiro; Véronique Van Vlasselaer; Bart Baesens; Alexandre G. Evsukoff; Moacyr A. H. B. da Silva; Nelson F. F. Ebecken (CSOC (2), 2015)

Analysis Spreading Patterns Generated by Model. - Thiago Schons; Carolina R. Xavier; Alexandre G. Evsukoff; Nelson F. F. Ebecken; Vinícius da Fonseca Vieira (ICCSA (5), 2016)

Intelligent hybrid system for dark spot detection using SAR data. - Patricia Genovez; Nelson F. F. Ebecken; Corina da Costa Freitas; Cristina Maria Bentz; Ramon Morais de Freitas (Expert Syst. Appl., 2017)

Classification of Oil Slicks and Look-Alike Slicks: A Linear Discriminant Analysis of Microwave, Infrared, and Optical Satellite Measurements. - Gustavo de Araújo Carvalho; Peter J. Minnett; Nelson F. F. Ebecken; Luiz Landau (Remote. Sens., 2020)

A new WAF architecture with machine learning for resource-efficient use. - Manoel Domingues Junior; Nelson F. F. Ebecken (Comput. Secur., 2021)

Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data. - Gustavo de Araújo Carvalho; Peter J. Minnett; Nelson F. F. Ebecken; Luiz Landau (Remote. Sens., 2021)

Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures - Part 1: Training and Testing Cross Validation. - Gustavo de Araújo Carvalho; Peter J. Minnett; Nelson F. F. Ebecken; Luiz Landau (Remote. Sens., 2022)

TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models. - Felipe Oliveira; Victoria Reis; Nelson F. F. Ebecken (CoRR, 2023)