| A genetic algorithm for cluster analysis ER Hruschka, NFF Ebecken Intelligent Data Analysis 7 (1), 15-25, 2003 | 166 | 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 | 105 | 2004 |
| Fault-tree analysis: a knowledge-engineering approach JAB Geymayr, NFF Ebecken IEEE Transactions on Reliability 44 (1), 37-45, 1995 | 101 | 1995 |
| Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach ER Hruschka, NFF Ebecken Neurocomputing 70 (1-3), 384-397, 2006 | 95 | 2006 |
| 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 | 93 | 2005 |
| Bayesian networks for imputation in classification problems ER Hruschka, ER Hruschka, NFF Ebecken Journal of Intelligent Information Systems 29 (3), 231-252, 2007 | 83 | 2007 |
| 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 | 80 | 2005 |
| FuzzyFTA: a fuzzy fault tree system for uncertainty analysis ACF Guimarẽes, NFF Ebecken Annals of Nuclear Energy 26 (6), 523-532, 1999 | 78 | 1999 |
| 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 | 73 | 2015 |
| Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble JL Fernandes, NFF Ebecken, JCDM Esquerdo International Journal of Remote Sensing 38 (16), 4631-4644, 2017 | 71 | 2017 |
| Towards efficient variables ordering for Bayesian networks classifier ER Hruschka Jr, NFF Ebecken Data & Knowledge Engineering 63 (2), 258-269, 2007 | 67 | 2007 |
| Mineração de textos NFF Ebecken, MCS Lopes, MCA COSTA Sistemas inteligentes, 337-370, 2003 | 60 | 2003 |
| 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 | 59 | 1994 |
| 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 | 58 | 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 | 45 | 2009 |
| Feature selection by Bayesian networks ER Hruschka, ER Hruschka, NFF Ebecken Conference of the Canadian Society for Computational Studies of Intelligence …, 2004 | 45 | 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 | 45 | 2003 |
| A tecnologia de realidade virtual como recurso para formação em saúde pública à distância: uma aplicação para a aprendizagem dos procedimentos antropométricos ECVC Barilli, NFF Ebecken, GG Cunha Ciência & Saúde Coletiva 16, 1247-1256, 2011 | 44* | 2011 |
| Knowledge discovering for coastal waters classification GC Pereira, NFF Ebecken Expert Systems with Applications 36 (4), 8604-8609, 2009 | 44 | 2009 |
| 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 | 43 | 2000 |
Eduardo R. HruschkaUniversity of São Paulo (USP), BrazilE-mailová adresa ověřena na: usp.br
