Nelson Ebecken
Nelson Ebecken
Professor of Computational Systems
Verified email at
Cited by
Cited by
A genetic algorithm for cluster analysis
ER Hruschka, NFF Ebecken
Intelligent Data Analysis 7 (1), 15-25, 2003
Optimization of mass concrete construction using genetic algorithms
EMR Fairbairn, MM Silvoso, RD Toledo Filho, JLD Alves, NFF Ebecken
Computers & structures 82 (2-3), 281-299, 2004
Fault-tree analysis: a knowledge-engineering approach
JAB Geymayr, NFF Ebecken
IEEE Transactions on Reliability 44 (1), 37-45, 1995
Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach
ER Hruschka, NFF Ebecken
Neurocomputing 70 (1-3), 384-397, 2006
Evaluating the correlation between objective rule interestingness measures and real human interest
DR Carvalho, AA Freitas, N Ebecken
European Conference on Principles of Data Mining and Knowledge Discovery …, 2005
Bayesian networks for imputation in classification problems
ER Hruschka, ER Hruschka, NFF Ebecken
Journal of Intelligent Information Systems 29 (3), 231-252, 2007
FuzzyFTA: a fuzzy fault tree system for uncertainty analysis
ACF Guimarẽes, NFF Ebecken
Annals of Nuclear Energy 26 (6), 523-532, 1999
Towards efficient variables ordering for Bayesian networks classifier
ER Hruschka Jr, NFF Ebecken
Data & Knowledge Engineering 63 (2), 258-269, 2007
An optimized implementation of the Newmark/Newton‐Raphson algorithm for the time integration of non‐linear problems
BP Jacob, NFF Ebecken
Communications in Numerical Methods in Engineering 10 (12), 983-992, 1994
Mineração de textos
NFF Ebecken, MCS Lopes, MCA COSTA
Sistemas inteligentes: fundamentos e aplicações. São Carlos: Manole, 337-370, 2003
A comparison of models for uncertainty analysis by the finite element method
BSLP de Lima, NFF Ebecken
Finite Elements in Analysis and Design 34 (2), 211-232, 2000
On extending f-measure and g-mean metrics to multi-class problems
RP Espíndola, NFF Ebecken
WIT Transactions on Information and Communication Technologies 35, 2005
Feature selection by Bayesian networks
ER Hruschka, ER Hruschka, NFF Ebecken
Conference of the Canadian Society for Computational Studies of Intelligence …, 2004
Evaluating a nearest-neighbor method to substitute continuous missing values
ER Hruschka, ER Hruschka, NFF Ebecken
Australasian Joint Conference on Artificial Intelligence, 723-734, 2003
Growing compact RBF networks using a genetic algorithm
AMS Barreto, HJC Barbosa, NFF Ebecken
VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings., 61-66, 2002
A KNN undersampling approach for data balancing
M Beckmann, NFF Ebecken, BSLP de Lima
Journal of Intelligent Learning Systems and Applications 7 (04), 104, 2015
Determination of probabilistic parameters of concrete: solving the inverse problem by using artificial neural networks
EMR Fairbairn, NFF Ebecken, CNM Paz, FJ Ulm
Computers & Structures 78 (1-3), 497-503, 2000
Neural network model to predict a storm surge
MMF De Oliveira, NFF Ebecken, JLF De Oliveira, I de Azevedo Santos
Journal of applied Meteorology and Climatology 48 (1), 143-155, 2009
Collusion in the US crop insurance program: applied data mining
BB Little, WL Johnston Jr, AC Lovell, RM Rejesus, SA Steed
Proceedings of the 2002 SIAM International Conference on Data Mining, 583-597, 2002
A critical review of rule surprisingness measures
DR Carvalho, AA Freitas, NFF Ebecken
WIT Transactions on Information and Communication Technologies 29, 2003
The system can't perform the operation now. Try again later.
Articles 1–20