Home Pesquisa Publicações
Publicações

 

2012

A. G. Evsukoff, M. Cataldi, B. S. L. P. de Lima, A multi-model approach for long-term runoff modeling using rainfall forecasts. Expert Systems with Applications, v. 39, p. 4938-4946, 2012.

F. T. Souza, N. F. F. Ebecken, A Data Based Model to Predict Landslide Induced by Rainfall in Rio de Janeiro City. Geotechnical and Geological Engineering, v. 30, p. 85-94, 2012.

 

 

2011

A. G. Evsukoff ; B. S. L. P. de Lima ; N. F. F. Ebecken. Long-Term Runoff Modeling Using Rainfall Forecasts with Application to the Iguaçu River Basin. Water Resources Management, v. 25, p. 963-985, 2011

A. G. Evsukoff ; A. C. S. Branco ; S. Galichet. Intelligent Data Analysis and Model Interpretation with Spectral Analysis Fuzzy Symbolic Modeling. International Journal of Approximate Reasoning, v. 52, p. 728-750, 2011

G. C. Pereira, N. F. F. Ebecken, Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring. Expert Systems with Applications, v. 38, p. 9626-9632, 2011

N. F. F. Ebecken. A Process for Innovation in a Collaborative Network. Journal of Information & Knowledge Management, v. 10, p. 1-10, 2011

E. B. dos Santos ; E. R. Hruschka Júnior ; E. R. Hruschka; N. F. F. Ebecken. Bayesian Network Classifiers: Beyond Classification Accuracy. Intelligent Data Analysis (Print), v. 15, p. 279-298, 2011.

M. M. F. Oliveira N. F. F. Ebecken, J. L. F. Oliveira, E. Gilleland. Generalized extreme wind speed distributions in South America over the Atlantic Ocean region. Theoretical and Applied Climatology, v. 104, p. 377-385, 2011

E. R. Hruschka Júnior, E. R. Hruschka; N. F. F. Ebecken. A Bayesian imputation method for a clustering genetic algorithm. Journal of Computational Methods in Sciences and Engineering, v. 11, p. 173-183, 2011.

N. F. F. Ebecken. An Overview on the Use of Neural Networks for Data Mining Tasks. Learning and Nonlinear Models, v. 9, p. 202-212, 2011.

A. A. Pina, C. H. Albrecht, Carl Horst ; B. S. L. P. de Lima; B. P. Jacob. Tailoring the particle swarm optimization algorithm for the design of offshore oil production risers. Optimization and Engineering (Print), v. 12, p. 215-235, 2011.

M. Barros ; L. Bevilacqua. Dynamical Characterization of Mixed Fractal Structures. Journal of Mechanics of Materials and Structures., v. 6, p. 51-69, 2011

L. Bevilacqua, A. C. N. Galeão, F. P. Costa. On the Significance of Higher Order Differential Terms in Diffusion Processes. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 34, p. 166-175, 2011

C. M. Dias ; D. Pastore ; L. Borna ; L. Bevilacqua. Modelling and numerical simulation of the velocity field in the Parque Estadual do Cantão (TO), Brazil. Mathematical and Computer Modelling, v. 53, p. 1575-1581, 2011

 

 

2010

G. C. Pereira, A.R. Figueiredo, P. M. Jabor, P. M., N. F. F. Ebecken. . Assessing the ecological status of plankton in Anjos Bay: a flow cytometry approach. Biogeosciences discussion, v. 7, p. 6243-6264, 2010.

E. S. S. Coutinho, L. Bevilacqua, H. L. Queiroz. Population Dynamics Modeling Of Arapaima Gigas. Acta Amazonica, v. 30, p. 333-346, 2010.

E. S. Souza, L. Bevilacqua, H. L. Queiroz. Modelagem da Dinâmica Populacional de Arapaima Gigas. Acta Amazonica (Impresso), v. 40, p. 33-346, 2010

 

 

2009

A. G. Evsukoff; S. Galichet ; B. S. L. P. de Lima ; N. F. F. Ebecken. Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization. Fuzzy Sets and Systems, v. 160, p. 857-881, 2009

Alves, M. C. M. ; Lima, B. S. L. P. ; Evsukoff, A. G. ; Vieira, I. N. ; A. G. Evsukoff. Developing a fuzzy decision support system to determine the location of a landfill site. Waste Management & Research (ISWA), v. 27, p. 641-651, 2009

G. C. Pereira, A. G. Evsukoff, N. F. F. Ebecken. Fuzzy modelling of chlorophyll production in a Brazilian upwelling system. Ecological Modelling, v. 220, p. 1506-1512, 2009.

M. M. F. Oliveira N. F. F. Ebecken, J. L. F. Oliveira, I. A. Santos. Neural Network Model to Predict a Storm Surge. Journal of Applied Meteorology and Climatology, v. 48, p. 143, 2009

E. R. Hruschka; A. Garcia, Antonio ; E. R. Hruschka Júnior; N. F. F. Ebecken. On the influence of imputation in classification: practical issues. Journal of Experimental and Theoretical Artificial Intelligence, v. 21, p. 43-58, 2009

O. M. Machado Filho, N. F. F. Ebecken. Visual RBF network design based on Star Coordinates. Advances in Engineering Software, p. 913-919, 2009.

M. Rafikov, L. Bevilacqua, A.  Wyse. Optimal control strategy of malaria vector using genetically modified mosquitoes. Journal of Theoretical Biology, v. 258, p. 418-425, 2009.

 


2008

Carlos A. Gama ; EVSUKOFF, Alexandre Gonçalves ; Philippe Weber ; EBECKEN, N. F. F. . Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation.. IEEE Transactions on Fuzzy Systems, v. 16, p. 213-224, 2008.

PEREIRA, Gilberto Carvalho ; COUTINHO, Ricardo ; EBECKEN, N. F. F. . Data Mining for Environmental analysis and diagnostic: a case study of upwelling ecosystem of Arraial do Cabo.. Brazilian Journal of Oceanography, v. 56, p. 1-12, 2008.

FIGUEREDO, G. P. ; Luis Alfredo Vidal de Carvalho ; BARBOSA, Hélio José C ; EBECKEN, N. F. F. . Evolutionary algorithms to simulate the phylogenesis of a binary artificial immune system.. Journal Evolutionary Intelligence, v. 1, p. 133-144, 2008.

PEREIRA, G ; EBECKEN, N. F. F. . Knowledge discovering for coastal waters classification. Expert Systems with Applications, p. ., 2008.

D. M. K. N. Kunitaki ; B. S. L. P. de Lima ; A. G. Evsukoff ; B. P. Jacob . Probabilistic and Fuzzy Arithmetic Approaches for the Treatment of Uncertainties in the Installation of Torpedo Piles. Mathematical Problems in Engineering, v. 2008, p. 512343, 2008.


2007
MOTTA, Alexandre de Assis ; EBECKEN, N. F. F. . On the Application of Genetic Algorithms in Underwater Explosive Charges Optimization.. International Journal For Computation Methods In Engineering Science And Mechanics, v. 8, p. 1-9, 2007.

HRUSCHKA JUNIOR, Estevam Rafael ; EBECKEN, N. F. F. . Towards efficient variables ordering for Bayesian networks classifier. Data & Knowledge Engineering, v. 63, p. 258-269, 2007.

HRUSCHKA JUNIOR, Estevam Rafael ; HRUSCHKA, Eduardo Raul ; EBECKEN, N. F. F. . Bayesian networks for imputation in classification problems. Journal of Intelligent Information Systems, v. 29, p. 231-252, 2007.

M.V.Modenesi ; COSTA, Myrian Christina de Aragão ; EVSUKOFF, Alexandre Gonçalves ; EBECKEN, N. F. F. . Parallel Fuzzy c-means Cluster Analysis. Lecture Notes in Computer Science, v. 4395, p. 52-65, 2007.

B. K. Almentero ; A. G. Evsukoff ; MATTOSO, Marta Lima de Queirós . DWMiner: A Tool for Mining Frequent Item Sets Efficiently in Data Warehouses. Lecture Notes in Computer Science, v. 4395, p. 212-224, 2007.

C. Simon ; P. Weber ; A. G. Evsukoff . Bayesian networks inference algorithm to implement Dempster Shafer theory in reliability analysis. Reliability Engineering & Systems Safety, v. 93, p. 950-963, 2007.

FIGUEREDO, G. P. ; EBECKEN, N. F. F. ; BARBOSA, Hélio José C . The SUPRAIC Algorithm: A suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks. Lecture Notes in Computer Science, v. 4628, p. 59-70, 2007.

MARTINS, D. ; CAMPOS, F. ; OLIVEIRA, R. ; AMORIM, R. M. ; VIEIRA, V. ; EBECKEN, N. F. F. ; BARBOSA, C. ; SANTOS, R. W. . A Computational Framework for Cardiac Modeling Based on Distributed Computing and Web Applications. Lecture Notes in Computer Science, v. 4395, p. 544-555, 2007.

Oliveira, Marilia Mitidieri F. de ; Ebecken, Nelson Francisco F. ; Santos, Isimar de A. ; Neves, Claudio F. ; Caloba, Luiz P. ; Oliveira, Jorge Luiz F. de . Modelagem da maré meteorológica utilizando redes neurais artificiais: uma aplicação para a Baía de Paranaguá-PR, parte 2: dados meteorológicos de reanálise do NCEP/NCAR. Revista Brasileira de Meteorologia, v. 22, p. ., 2007.



2006
A. G. Evsukoff ; E. M. R. Fairbairn ; E. F. Faria ; M. M. Silvoso ; R. D. Toledo Filho . Modeling adiabatic temperature rise during concrete hydration: A data mining approach. Computers & Structures, v. 84, p. 2351-2362, 2006.

COELHO, Lúcia Carvalho ; SOARES, Antonio Claudio ; EBECKEN, N. F. F. ; DRUMMOND, José Luis ; LANDAU, Luiz . Modelling mechanical behaviour of limestone under reservoir conditions . International Journal for Numerical and Analytical Methods in Geomechanics, John Wiley and Sons, v. 30, n. 14, p. 1477-1500, 2006.

HRUSCHKA, Eduardo Raul ; EBECKEN, N. F. F. . Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. Neurocomputing (Amsterdam), ELSEVIER, v. 70, p. 384-397, 2006.

BARRETO, André da Motta Salles ; BARBOSA, Hélio José C ; EBECKEN, N. F. F. . GOLS - Genetic orthogonal least squares algorithm for training RBFnetworks. Neurocomputing (Amsterdam), ELSEVIER, v. 69, p. 2041-2064, 2006.

HRUSCHKA, Eduardo Raul ; HRUSCHKA JUNIOR, Estevam Rafael ; COVÕES, Thiago F ; EBECKEN, N. F. F. . Bayesian Feature Selection for Clustering Problems. Journal Of Information And Knowledge Management, iKMS & World Scientific, v. 5, n. 4, p. 315-327, 2006.

PINHEIRO, Carlos André Reis ; EVSUKOFF, Alexandre Gonçalves ; EBECKEN, N. F. F. . Revenue Recovering With Insolvency Prevention on a Brazilian Telecom Operator . Sigkdd Explorations Newsletter, ACM, v. 8, n. 1, p. 65-70, 2006.

OLIVEIRA, M M ; EBECKEN, N. F. F. ; NEVES, C de F ; CALOBA, L. P. ; SANTOS, I de A . NCEP/NCAR Reanalysis data to predict the variability of the mean sea level on South Atlantic Ocean with ANN model. Geophysical Research Abstracts, GEOPHYSICAL RESEARCH ABSTRACTS, v. 8, p. 1607-7962, 2006.

OLIVEIRA, Marília Mitidieri Fernandes de ; EBECKEN, N. F. F. ; Isimar de A. Santos ; Claúdio F. Neves ; CALOBA, L. P. ; Jorge Luiz F. de Oliveira . Modelagem da Maré Meteorológica Utilizando Redes Neurais Artificiais: Uma Aplicação Para a Baía de Paranaguá PR, Parte 1: Dados Meteorologicos da Estação de Superfície.. Revista Brasileira de Meteorologia, v. 21, p. 220-231, 2006.



2005
A. G. Evsukoff ; S. Gentil . Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors. Advanced Engineering Informatics, v. 19, p. 55-66, 2005.

A. G. Evsukoff ; M. C. A. Costa ; N. F. F. Ebecken . Parallel Implementation of a Fuzzy Rule Based Classifier. Lecture Notes in Computer Science, v. 3402, p. 184-193, 2005.

Leite Pires de Lima, Beatriz de Souza ; Pinheiro Jacob, Breno ; Francisco Favilla Ebecken, Nelson . A hybrid fuzzy/genetic algorithm for the design of offshore oil production risers. International Journal for Numerical Methods in Engineering, v. 64, p. 1459-1482, 2005.

COELHO, Lucia Carvalho ; SOARES, Antonio Claudio ; ALVES, José Luis Drummond ; EBECKEN, N. F. F. . The Impact of Constitutive Modeling of Porous Rocks on 2-D Wellbore Stability Analysis. Journal of Petroleum Science & Engineering, v. 46, p. 81-100, 2005.

CARVALHO, Deborah Ribeiro ; FREITAS, Alex A ; EBECKEN, N. F. F. . Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest. Lecture Notes in Computer Science, Berlin Heidelberg, v. 3721, p. 453-461, 2005.

LIMA, Beatriz de Souza Leite Pires de ; JACOB, Breno Pinheiro ; EBECKEN, N. F. F. . A Hybrid Fuzzy/Genetic Algorithm for the Design of Offshore Oil Production Risers. International Journal for Numerical Methods in Engineering, John Wiley, v. 64, p. 1459-1482, 2005.

EBECKEN, N. F. F. ; HRUSCHKA, Eduardo Raul ; HRUSCHKA JUNIOR, Estevam Rafael . Missing Values Imputation for a Clustering Genetic Algorithm. Lecture Notes in Computer Science, v. 1, p. 245-254, 2005.