default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDNelson F. F. Ebecken
Nelson Francisco Favilla Ebecken
Person information
- affiliation: Federal University of Rio de Janeiro, Brazil
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 22:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
