| Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index–Case study of PETR4, Petrobras, Brazil FA De Oliveira, CN Nobre, LE Zárate Expert systems with applications 40 (18), 7596-7606, 2013 | 307 | 2013 |
| Educational Data Mining: A review of evaluation process in the e-learning MW Rodrigues, S Isotani, LE Zarate Telematics and Informatics 35 (6), 1701-1717, 2018 | 212 | 2018 |
| Causal feature selection I Guyon, C Aliferis Computational methods of feature selection, 79-102, 2007 | 190 | 2007 |
| The use of artificial neural networks in the analysis and prediction of stock prices FA de Oliveira, LE Zárate, M de Azevedo Reis, CN Nobre 2011 IEEE international conference on systems, man, and cybernetics, 2151-2155, 2011 | 83 | 2011 |
| Categorical data clustering: What similarity measure to recommend? TRL dos Santos, LE Zárate Expert Systems with Applications 42 (3), 1247-1260, 2015 | 77 | 2015 |
| A brief review of the main approaches for treatment of missing data LO Silva, LE Zárate Intelligent Data Analysis 18 (6), 1177-1198, 2014 | 57 | 2014 |
| Representation and control of the cold rolling process through artificial neural networks via sensitivity factors LE Zarate, FR Bittencout Journal of Materials Processing Technology 197 (1-3), 344-362, 2008 | 40 | 2008 |
| An artificial neural network structure able to obstacle avoidance behavior used in mobile robots LE Zarate, M Becker, BDM Garrido, HSC Rocha IEEE 2002 28th Annual Conference of the Industrial Electronics Society …, 2002 | 36 | 2002 |
| FCANN: A new approach for extraction and representation of knowledge from ANN trained via formal concept analysis LE Zárate, SM Dias, MAJ Song Neurocomputing 71 (13-15), 2670-2684, 2008 | 34 | 2008 |
| Comparison of classifiers efficiency on missing values recovering: Application in a marketing database with massive missing data BM Nogueira, TRA Santos, LE Zárate 2007 IEEE Symposium on Computational Intelligence and Data Mining, 66-72, 2007 | 28 | 2007 |
| Qualitative behavior rules for the cold rolling process extracted from trained ANN via the FCANN method LE Zárate, SM Dias Engineering Applications of Artificial Intelligence 22 (4-5), 718-731, 2009 | 25 | 2009 |
| Techniques for missing value recovering in imbalanced databases: Application in a marketing database with massive missing data LE Zarate, BM Nogueira, TRA Santos, MAJ Song 2006 IEEE International Conference on Systems, Man and Cybernetics 3, 2658-2664, 2006 | 25 | 2006 |
| Identification and characterisation of Facebook user profiles considering interaction aspects PHB Ruas, AD Machado, MC Silva, MRG Meireles, AMP Cardoso, ... Behaviour & Information Technology 38 (8), 858-872, 2019 | 23 | 2019 |
| Handling high dimensionality contexts in formal concept analysis via binary decision diagrams SM Neto, LE Zárate, MAJ Song Information Sciences 429, 361-376, 2018 | 22 | 2018 |
| Categorical data clustering: What similarity measure to recommend T Santos, LE Zárate Expert Systems with Applications 42 (3), 1247-1260, 2015 | 22 | 2015 |
| A genetic algorithm for the selection of features used in the prediction of protein function LF Leijôto, TADO Rodrigues, LE Záratey, CN Nobre 2014 IEEE International Conference on Bioinformatics and Bioengineering, 168-174, 2014 | 20 | 2014 |
| A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research CE Ribeiro, LHS Brito, CN Nobre, AA Freitas, LE Zárate Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (3 …, 2017 | 19 | 2017 |
| Scgaz-A synthetic formal context generator with density control for test and evaluation of FCA algorithms A Rimsa, MAJ Song, LE Zárate 2013 IEEE International Conference on Systems, Man, and Cybernetics, 3464-3470, 2013 | 18 | 2013 |
| Formal concept analysis applied to professional social networks analysis PRC Silva, SM Dias, WC Brandao, MA Song, LE Zárate International Conference on Enterprise Information Systems 2, 123-134, 2017 | 16 | 2017 |
| A model-based predictive control scheme for steal rolling mills using neural networks JM Gálvez, LE Zárate, H Helman Journal of the Brazilian Society of Mechanical Sciences and Engineering 25 …, 2003 | 16 | 2003 |
Cristiane NobrePontifícia Universidade Católica de Minas GeraisVerified email at pucminas.br
