| Heterogeneous feature models and feature selection applied to bearing fault diagnosis TW Rauber, F de Assis Boldt, FM Varejão IEEE Transactions on Industrial Electronics 62 (1), 637-646, 2014 | 294 | 2014 |
| Redes neurais artificiais TW Rauber Universidade Federal do Espírito Santo 29, 2005 | 61 | 2005 |
| Probabilistic distance measures of the Dirichlet and Beta distributions TW Rauber, T Braun, K Berns Pattern Recognition 41 (2), 637-645, 2008 | 60 | 2008 |
| Two-dimensional shape description TW Rauber Technical Report: GR, 1994 | 58 | 1994 |
| A toolbox for analysis and visualization of sensor data in supervision TW Rauber, MM Barata, AS Steiger-Garcao Proceedings of the TOOLDIAG 93, 1993 | 51 | 1993 |
| Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles E Wandekokem, E Mendel, F Fabris, M Valentim, RJ Batista, FM Varejao, ... Integrated Computer-Aided Engineering 18 (1), 61-74, 2011 | 47 | 2011 |
| Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs E Mendel, TW Rauber, FM Varejão, RJ Batista 2009 17th European Signal Processing Conference, 1602-1606, 2009 | 41 | 2009 |
| A complete system for vehicle plate localization, segmentation and recognition in real life scene. A Conci, J Carvalho, T Rauber IEEE Latin America Transactions 7 (5), 497-506, 2009 | 37 | 2009 |
| Automatic bearing fault pattern recognition using vibration signal analysis E Mendel, LZ Mariano, I Drago, S Loureiro, TW Rauber, FM Varejao, ... 2008 IEEE International Symposium on Industrial Electronics, 955-960, 2008 | 34 | 2008 |
| Inductive pattern classification, methods, features and sensors TW Rauber Ph. D. Thesis, Universidade Nova de Lisboa, 1994 | 26 | 1994 |
| Shape description by UNL Fourier features-an application to handwritten character recognition TW Rauber, AS Steiger-Garcao 11th IAPR International Conference on Pattern Recognition. Vol. II …, 1992 | 26 | 1992 |
| An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals TW Rauber, AL da Silva Loca, F de Assis Boldt, AL Rodrigues, ... Expert Systems with Applications 167, 114022, 2021 | 24 | 2021 |
| Kernel multilayer perceptron T Rauber, K Berns 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images, 337-343, 2011 | 22 | 2011 |
| 2-D FORM DESCRIPTORS BASED ON A NORMALIZED PARAMETRIC POLAR TRANSFORM (UNZ TFUNSFORM) W Rauber, S Steiger-Gqilci | 20 | 1992 |
| Cascade feature selection and ELM for automatic fault diagnosis of the Tennessee Eastman process F de Assis Boldt, TW Rauber, FM Varejão Neurocomputing 239, 238-248, 2017 | 19 | 2017 |
| Feature selection of categorical attributes based on contingency table analysis TW Rauber, AS Steiger-Garcao Proc. of the 5th Portuguese Conference on Pattern Recognition, Porto, Portugal, 1993 | 18 | 1993 |
| Pattern recognition based fault diagnosis in industrial processes: Review and application TW Rauber, EM do Nascimento, ED Wandekokem, FM Varejão, A Herout Pattern Recognition Recent Advances, 483-508, 2010 | 16 | 2010 |
| Feature extraction and selection for automatic fault diagnosis of rotating machinery F Boldt, T Rauber, F Varejão Lbd. Dcc. Ufmg. Br 1, 1-8, 2013 | 14 | 2013 |
| Prognostic and monitoring system for cnc machines M Barata, TW Rauber, A Steiger-Garção | 12 | 1993 |
| Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis TW Rauber, T Oliveira-Santos, F de Assis Boldt, A Rodrigues, FM Varejao, ... 2017 International Joint Conference on Neural Networks (IJCNN), 3347-3354, 2017 | 11 | 2017 |
Flavio Miguel VarejãoProfessor de Ciência da Computação, Universidade Federal do Espírito SantoVerified email at inf.ufes.br
