2008 |
38 | EE | Douglas A. 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 |
37 | EE | 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 |
36 | EE | Valeriana G. Roncero,
Myrian C. A. Costa,
Nelson F. F. Ebecken:
Using Stemming Algorithms on a Grid Environment.
VECPAR 2008: 588-593 |
35 | EE | 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 |
34 | EE | Carlos A. Gama,
Alexandre Evsukoff,
P. Weber,
Nelson F. F. Ebecken:
Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation.
IEEE T. Fuzzy Systems 16(1): 213-224 (2008) |
2007 |
33 | EE | 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 |
32 | EE | 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 |
31 | EE | Estevam R. Hruschka Jr.,
Nelson F. F. Ebecken:
Towards efficient variables ordering for Bayesian networks classifier.
Data Knowl. Eng. 63(2): 258-269 (2007) |
30 | EE | 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) |
2006 |
29 | EE | Marta V. Modenesi,
Myrian C. A. Costa,
Alexandre Evsukoff,
Nelson F. F. Ebecken:
Parallel Fuzzy c-Means Cluster Analysis.
VECPAR 2006: 52-65 |
28 | EE | D. M. S. Martins,
Fernando Otaviano Campos,
Leandro Neumann Ciuffo,
Rafael Sachetto Oliveira,
Ronan M. Amorim,
V. 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: 544-555 |
27 | EE | Eduardo R. Hruschka,
Estevam R. Hruschka Jr.,
Thiago F. Covoes,
Nelson F. F. Ebecken:
Bayesian Feature Selection for Clustering Problems.
JIKM 5(4): 315-327 (2006) |
26 | EE | 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) |
25 | EE | Sebastião C. Pereira,
Ulisses T. Mello,
Nelson F. F. Ebecken,
Rafi L. Muhanna:
Uncertainty in Thermal Basin Modeling: An Interval Finite Element Approach.
Reliable Computing 12(6): 451-470 (2006) |
24 | EE | Carlos André R. Pinheiro,
Alexandre Evsukoff,
Nelson F. F. Ebecken:
Revenue recovering with insolvency prevention on a Brazilian telecom operator.
SIGKDD Explorations 8(1): 65-70 (2006) |
2005 |
23 | EE | 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 |
22 | EE | Eduardo R. Hruschka,
Estevam R. Hruschka Jr.,
Nelson F. F. Ebecken:
Missing Values Imputation for a Clustering Genetic Algorithm.
ICNC (3) 2005: 245-254 |
21 | EE | 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 |
2004 |
20 | EE | 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 |
19 | EE | Estevam R. Hruschka Jr.,
Eduardo R. Hruschka,
Nelson F. F. Ebecken:
Feature Selection by Bayesian Networks.
Canadian Conference on AI 2004: 370-379 |
18 | | 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 |
17 | EE | Alexandre Evsukoff,
Myrian C. A. Costa,
Nelson F. F. Ebecken:
Parallel Implementation of a Fuzzy Rule Based Classifier.
VECPAR 2004: 184-193 |
2003 |
16 | EE | 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 |
15 | EE | 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 |
14 | EE | Alexandre Evsukoff,
Nelson F. F. Ebecken:
Mining Fuzzy Rules for a Traffic Information System.
KES 2003: 237-243 |
13 | | 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 |
12 | EE | 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.
Applied Artificial Intelligence 17(5-6): 489-506 (2003) |
11 | EE | Eduardo R. Hruschka,
Nelson F. F. Ebecken:
A genetic algorithm for cluster analysis.
Intell. Data Anal. 7(1): 15-25 (2003) |
2002 |
10 | | 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 |
9 | EE | 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 |
8 | EE | 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 |
7 | EE | 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 |
6 | EE | Estevam R. Hruschka Jr.,
Nelson F. F. Ebecken:
Missing values prediction with K2.
Intell. Data Anal. 6(6): 557-566 (2002) |
2001 |
5 | | 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 |
4 | EE | 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 |
3 | EE | 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. Signal 1(1): 17-29 (2000) |
1999 |
2 | EE | 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) |
1998 |
1 | | Mauro Sousa,
Marta Mattoso,
Nelson F. F. Ebecken:
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server.
DEXA Workshop 1998: 711-716 |