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Nelson F. F. Ebecken
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- affiliation: Federal University of Rio de Janeiro, Brazil
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2020 – today
- 2023
- [i2]Felipe Oliveira, Victoria Reis, Nelson F. F. Ebecken:
TuPy-E: detecting hate speech in Brazilian Portuguese social media with a novel dataset and comprehensive analysis of models. CoRR abs/2312.17704 (2023) - 2022
- [j30]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): 3027 (2022) - 2021
- [j29]Manoel Domingues Junior, Nelson F. F. Ebecken:
A new WAF architecture with machine learning for resource-efficient use. Comput. Secur. 106: 102290 (2021) - [j28]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): 3466 (2021) - 2020
- [j27]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): 2078 (2020)
2010 – 2019
- 2017
- [j26]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: 384-397 (2017) - 2016
- [c50]Thiago Schons, Carolina R. Xavier, Alexandre G. Evsukoff, Nelson F. F. Ebecken, Vinícius da Fonseca Vieira:
Analysis Spreading Patterns Generated by Model. ICCSA (5) 2016: 337-349 - 2015
- [c49]Carolina Ribeiro Xavier, Vinícius da Fonseca Vieira, Nelson Francisco Favilla Ebecken, Alexandre Gonçalves Evsukoff:
Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks. CompleNet 2015: 201-208 - [c48]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: 35-44 - 2014
- [j25]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): 183-195 (2014) - [c47]Vinícius da Fonseca Vieira, Carolina Ribeiro Xavier, Nelson F. F. Ebecken, Alexandre G. Evsukoff:
Modularity Based Hierarchical Community Detection in Networks. ICCSA (6) 2014: 146-160 - [c46]Lúcio Pereira de Andrade, Rogério Pinto Espíndola, Nelson Francisco Favilla Ebecken:
Community Detection by an Efficient Ant Colony Approach. ISMIS 2014: 1-9 - [i1]Rodrigo da Silva Moreira, Nelson Francisco Favilla Ebecken:
Parallel WiSARD object tracker: a ram-based tracking system. CoRR abs/1403.3118 (2014) - 2013
- [c45]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: 176-177 - 2012
- [j24]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): 135-147 (2012) - [c44]Gilberto Carvalho Pereira, Fatima F. Santos, Nelson F. F. Ebecken:
Centrality and Network Analysis in a Natural Perturbed Ecosystem. CompleNet 2012: 217-224 - 2011
- [j23]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): 9626-9632 (2011) - [j22]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): 279-298 (2011) - [j21]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): 173-183 (2011) - [j20]Nelson F. F. Ebecken:
A Process for Innovation in a Collaborative Network. J. Inf. Knowl. Manag. 10(2): 183-192 (2011) - [c43]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: 131-132 - [c42]Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.:
Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA 2011: 362-367 - [c41]Graziella Martins Caputo, Nelson Francisco Favilla Ebecken:
Concept map construction applying natural language processing on text extracted from e-commerce web pages. NaBIC 2011: 409-414 - 2010
- [c40]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: 1-8 - [c39]Douglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken:
Coevolutionary multi-population genetic programming for data classification. GECCO 2010: 933-940 - [c38]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: 430-435 - [c37]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: 2856-2859 - [c36]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: 121-126 - [c35]Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken:
Text Classification on a Grid Environment. VECPAR 2010: 251-262
2000 – 2009
- 2009
- [j19]Otto M. Machado Filho, Nelson F. F. Ebecken:
Visual RBF network design based on Star Coordinates. Adv. Eng. Softw. 40(9): 913-919 (2009) - [j18]Gilberto Carvalho Pereira, Nelson F. F. Ebecken:
Knowledge discovering for coastal waters classification. Expert Syst. Appl. 36(4): 8604-8609 (2009) - [j17]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): 857-881 (2009) - [j16]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): 43-58 (2009) - [c34]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: 39-46 - [p2]Angelmar Constantino Roman, Hugo Bulegon, Silvio Bortoleto, Nelson F. F. Ebecken:
Electronic Records with Cardiovascular Monitoring System. Computer Recognition Systems 3 2009: 439-446 - 2008
- [j15]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): 133-144 (2008) - [j14]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) - [j13]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): 213-224 (2008) - [c33]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: 1171-1178 - [c32]L. A. Matsunaga, Nelson F. F. Ebecken:
Term Weighting Approaches for Text Categorization Improving. ISDA (1) 2008: 409-414 - [c31]Silvio Bortoleto, Nelson F. F. Ebecken:
Ontology Model for Multi-relational Data Mining Application. ISDA (2) 2008: 460-463 - [c30]Antonio Anddre Serpa, Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken:
Text Mining Grid Services for Multiple Environments. VECPAR 2008: 576-587 - [c29]Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken:
Using Stemming Algorithms on a Grid Environment. VECPAR 2008: 588-593 - [p1]Vincenzo de Roberto Junior, Nelson F. F. Ebecken, Elias Restum Antonio:
Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms. Computational Intelligence in Medical Informatics 2008: 133-150 - 2007
- [j12]Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. 63(2): 258-269 (2007) - [j11]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Bayesian networks for imputation in classification problems. J. Intell. Inf. Syst. 29(3): 231-252 (2007) - [c28]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: 171 - [c27]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: 59-70 - [c26]Cristina Maria Bentz, Alexandre Tadeu Politano, Nelson Francisco Favilla Ebecken:
Automatic recognition of coastal and oceanic environmental events with orbital radars. IGARSS 2007: 914-916 - [c25]Saul D. de S. S. Pedro, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
WNB: A Weighted Naïve Bayesian Classifier. ISDA 2007: 138-142 - 2006
- [j10]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): 2041-2064 (2006) - [j9]Eduardo R. Hruschka, Nelson F. F. Ebecken:
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. Neurocomputing 70(1-3): 384-397 (2006) - [j8]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): 315-327 (2006) - [j7]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): 451-470 (2006) - [j6]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): 65-70 (2006) - [c24]Marta V. Modenesi, Myrian C. A. Costa, Alexandre G. Evsukoff, Nelson F. F. Ebecken:
Parallel Fuzzy c-Means Cluster Analysis. VECPAR 2006: 52-65 - [c23]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:
A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications. VECPAR 2006: 544-555 - 2005
- [c22]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: 405-410 - [c21]Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254 - [c20]Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken:
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. PKDD 2005: 453-461 - [c19]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. (Applications) 2005: 122-133 - 2004
- [c18]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
Feature Selection by Bayesian Networks. Canadian AI 2004: 370-379 - [c17]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: 513-525 - [c16]Gilberto Carvalho Pereira, Alexandre G. Evsukoff, Ricardo Coutinho, Nelson F. F. Ebecken:
Coastal environmental management by fuzzy system modeling. FUZZ-IEEE 2004: 215-220 - [c15]Alexandre G. Evsukoff, Nelson F. F. Ebecken:
Identification of recurrent fuzzy systems with genetic algorithms. FUZZ-IEEE 2004: 1703-1708 - [c14]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: 84-89 - [c13]Alexandre G. Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken:
Parallel Implementation of a Fuzzy Rule Based Classifier. VECPAR 2004: 184-193 - 2003
- [j5]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): 489-506 (2003) - [j4]Eduardo R. Hruschka, Nelson F. F. Ebecken:
A genetic algorithm for cluster analysis. Intell. Data Anal. 7(1): 15-25 (2003) - [c12]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: 723-734 - [c11]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: 601-607 - [c10]Alexandre G. Evsukoff, Nelson F. F. Ebecken:
Mining Fuzzy Rules for a Traffic Information System. KES 2003: 237-243 - [c9]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: 319-327 - 2002
- [j3]Estevam R. Hruschka Jr., Nelson F. F. Ebecken:
Missing values prediction with K2. Intell. Data Anal. 6(6): 557-566 (2002) - [c8]Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken:
A Data Preparation Bayesian Approach for a Clustering Genetic Algorithm. HIS 2002: 453-461 - [c7]André da Motta Salles Barreto, Helio J. C. Barbosa, Nelson F. F. Ebecken:
Growing Compact RBF Networks Using a Genetic Algorithm. SBRN 2002: 61-66 - [c6]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: 79-93 - [c5]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: 126-136 - 2001
- [c4]Mauricio Onoda, Nelson F. F. Ebecken:
Implementação em Java de um Algoritmo de Árvore de Decisão Acoplado a um SGBD Relacional. SBBD 2001: 55-64 - 2000
- [j2]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): 17-29 (2000) - [c3]Eduardo R. Hruschka, Nelson F. F. Ebecken:
Applying a Clustering Genetic Algorithm for Extracting Rules from a Supervised Neural Network. IJCNN (3) 2000: 407-412
1990 – 1999
- 1999
- [j1]Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken:
Mining a large database with a parallel database server. Intell. Data Anal. 3(6): 437-451 (1999) - [c2]Eduardo R. Hruschka, Nelson Francisco Favilla Ebecken:
Rule extraction from neural networks: modified RX algorithm. IJCNN 1999: 2504-2508 - 1998
- [c1]Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken:
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server. DEXA Workshop 1998: 711-716
Coauthor Index
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