| 2009 | ||
|---|---|---|
| 43 | Cristian Klen dos Santos, Alexandre Evsukoff, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken: Potential collaboration discovery using document clustering and community structure detection. CIKM-CNIKM 2009: 39-46 | |
| 42 | Otto M. Machado Filho, Nelson F. F. Ebecken: Visual RBF network design based on Star Coordinates. Advances in Engineering Software 40(9): 913-919 (2009) | |
| 41 | Gilberto Carvalho Pereira, Nelson F. F. Ebecken: Knowledge discovering for coastal waters classification. Expert Syst. Appl. 36(4): 8604-8609 (2009) | |
| 40 | Alexandre Evsukoff, Sylvie Galichet, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken: Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization. Fuzzy Sets and Systems 160(7): 857-881 (2009) | |
| 39 | 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) | |
| 2008 | ||
| 38 | 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 | 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 | Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken: Using Stemming Algorithms on a Grid Environment. VECPAR 2008: 588-593 | |
| 35 | 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 | 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 | 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 | 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 | 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 | 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 | Marta V. Modenesi, Myrian C. A. Costa, Alexandre Evsukoff, Nelson F. F. Ebecken: Parallel Fuzzy c-Means Cluster Analysis. VECPAR 2006: 52-65 | |
| 28 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | Alexandre Evsukoff, Myrian C. A. Costa, Nelson F. F. Ebecken: Parallel Implementation of a Fuzzy Rule Based Classifier. VECPAR 2004: 184-193 | |
| 2003 | ||
| 16 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | |