Nelson F. F. Ebecken

Nelson Francisco Favilla Ebecken

	2012
j22		Grazziela Patrocinio Figueredo, Nelson F. F. Ebecken, Douglas Adriano Augusto, Helio J. C. Barbosa: An immune-inspired instance selection mechanism for supervised classification. Memetic Computing 4(2): 135-147 (2012)
	2011
j21		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)
j20		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)
j19		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: A Bayesian imputation method for a clustering genetic algorithm. J. Comput. Meth. in Science and Engineering 11(4): 173-183 (2011)
j18		Nelson F. F. Ebecken: A Process for Innovation in a Collaborative Network. JIKM 10(2): 183-192 (2011)
c40		Marcelo Beckmann, Beatriz S. L. P. de Lima, Nelson F. F. Ebecken: Genetic algorithms as a pre processing strategy for imbalanced datasets. GECCO (Companion) 2011: 131-132
c39		Edimilson Batista dos Santos, Nelson F. F. Ebecken, Estevam R. Hruschka Jr.: Learning Bayesian Network structures using Multiple Offspring Sampling. ISDA 2011: 362-367
c38		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
c37		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
c36		Douglas Adriano Augusto, Helio José Corrêa Barbosa, Nelson Francisco Favilla Ebecken: Coevolutionary multi-population genetic programming for data classification. GECCO 2010: 933-940
c35		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
c34		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
c33		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
c32		Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken: Text Classification on a Grid Environment. VECPAR 2010: 251-262
	2009
j17		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)
j16		Gilberto Carvalho Pereira, Nelson F. F. Ebecken: Knowledge discovering for coastal waters classification. Expert Syst. Appl. 36(4): 8604-8609 (2009)
j15		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)
j14		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)
c31		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
	2008
j13		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. Evolutionary Intelligence 1(2): 133-144 (2008)
j12		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)
c30		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
c29		L. A. Matsunaga, Nelson F. F. Ebecken: Term Weighting Approaches for Text Categorization Improving. ISDA (1) 2008: 409-414
c28		Silvio Bortoleto, Nelson F. F. Ebecken: Ontology Model for Multi-relational Data Mining Application. ISDA (2) 2008: 460-463
c27		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
c26		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
j11		Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Towards efficient variables ordering for Bayesian networks classifier. Data Knowl. Eng. 63(2): 258-269 (2007)
j10		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)
c25		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
c24		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
c23		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
c22		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
j9		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)
j8		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)
j7		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)
j6		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)
c21		Marta V. Modenesi, Myrian C. A. Costa, Alexandre Evsukoff, Nelson F. F. Ebecken: Parallel Fuzzy c-Means Cluster Analysis. VECPAR 2006: 52-65
c20		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
	2005
c19		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
c18		Eduardo R. Hruschka, Estevam R. Hruschka Jr., Nelson F. F. Ebecken: Missing Values Imputation for a Clustering Genetic Algorithm. ICNC (3) 2005: 245-254
c17		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
c16		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Applying Bayesian Networks for Meteorological Data Mining. SGAI Conf. 2005: 122-133
	2004
c15		Estevam R. Hruschka Jr., Eduardo R. Hruschka, Nelson F. F. Ebecken: Feature Selection by Bayesian Networks. Canadian Conference on AI 2004: 370-379
c14		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
c13		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
c12		Alexandre 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. Applied Artificial Intelligence 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)
c11		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
c10		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
c9		Alexandre Evsukoff, Nelson F. F. Ebecken: Mining Fuzzy Rules for a Traffic Information System. KES 2003: 237-243
c8		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)
c7		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
c6		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
c5		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
c4		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
c3		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. Signal 1(1): 17-29 (2000)
c2		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
	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)
	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

Colors in the list of coauthors

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