| Heterogeneous feature models and feature selection applied to bearing fault diagnosis TW Rauber, F de Assis Boldt, FM Varejao IEEE Transactions on Industrial Electronics 62 (1), 637-646, 2014 | 380 | 2014 |
| Monthly energy consumption forecast: A deep learning approach RF Berriel, AT Lopes, A Rodrigues, FM Varejao, T Oliveira-Santos 2017 International Joint Conference on Neural Networks (IJCNN), 4283-4290, 2017 | 136 | 2017 |
| 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 | 102 | 2021 |
| Sampling approaches for applying DBSCAN to large datasets D Luchi, AL Rodrigues, FM Varejão Pattern Recognition Letters 117, 90-96, 2019 | 80 | 2019 |
| 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 | 50 | 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 | 47 | 2009 |
| Linguagens de Programação: conceitos e técnicas F VAREJÃO Rio de Janeiro: Campus 4, 2004 | 46 | 2004 |
| 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 | 41 | 2008 |
| BIRCHSCAN: A sampling method for applying DBSCAN to large datasets I de Moura Ventorim, D Luchi, AL Rodrigues, FM Varejão Expert Systems with Applications 184, 115518, 2021 | 32 | 2021 |
| K-means initialization methods for improving clustering by simulated annealing GT Perim, ED Wandekokem, FM Varejão Advances in Artificial Intelligence–IBERAMIA 2008: 11th Ibero-American …, 2008 | 30 | 2008 |
| 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 | 25 | 2017 |
| 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 | 23 | 2017 |
| 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 | 23 | 2010 |
| A methodology to refine the technical losses calculation from estimates of non-technical losses C Donadel, J Anicio, M Fredes, F Varejao, G Comarela, G Perim CIRED 2009-20th International Conference and Exhibition on Electricity …, 2009 | 22 | 2009 |
| Submersible motor pump fault diagnosis system: A comparative study of classification methods T Oliveira-Santos, TW Rauber, FM Varejao, L Martinuzzo, W Oliveira, ... 2016 IEEE 28th International Conference on Tools with Artificial …, 2016 | 19 | 2016 |
| Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions F de Assis Boldt, TW Rauber, FM Varejão, MP Ribeiro 2014 12th IEEE International Conference on Industrial Informatics (INDIN), 67-72, 2014 | 17 | 2014 |
| Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps T Oliveira-Santos, A Rodrigues, VF Rocha, TW Rauber, FM Varejão, ... Integrated Computer-Aided Engineering 25 (4), 381-396, 2018 | 15 | 2018 |
| 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 | 15 | 2013 |
| Towards an Ontological Framework for Knowledge-Based Design Systems: Integrating Requirements, Artifacts and Process FM Varejão, CS De Menezes, ACB Garcia, CS De Souza, MPJ Fromherz Artificial Intelligence in Design’00, 55-75, 2000 | 15 | 2000 |
| Ensemble of classifier chains and decision templates for multi-label classification V Freitas Rocha, FM Varejão, MEV Segatto Knowledge and Information Systems, 1-21, 2022 | 14 | 2022 |
Thomas RauberUniversidade Federal do Espírito SantoVerified email at inf.ufes.br
