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ORCIDThomas W. Rauber
Person information
- affiliation: Federal University of Espírito Santo, Department of Computer Science, Brazil
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2020 – today
- 2022
[j9]Frederico Damasceno Bortoloti
, Jonivane Tavares, Thomas Walter Rauber, Patrick Marques Ciarelli, Rayane Cardozo Gama Botelho:
An annotated image database of building facades categorized into land uses for object detection using deep learning. Mach. Vis. Appl. 33(5): 80 (2022)- 2021
- [j8]Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão:
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. Expert Syst. Appl. 167: 114022 (2021) - 2020
- [j7]Thomas W. Rauber, Francisco de Assis Boldt, Celso José Munaro:
Feature selection for multivariate contribution analysis in fault detection and isolation. J. Frankl. Inst. 357(10): 6294-6320 (2020)
2010 – 2019
- 2019
- [j6]Lucas Henrique Sousa Mello, Flávio Miguel Varejão, Alexandre L. Rodrigues, Thomas W. Rauber:
NP-Hardness of minimum expected coverage. Pattern Recognit. Lett. 117: 45-51 (2019) - 2018
- [j5]Thiago Oliveira-Santos, Alexandre Rodrigues, Victor Freitas Rocha, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. Integr. Comput. Aided Eng. 25(4): 381-396 (2018) - 2017
- [j4]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239: 238-248 (2017) - [c27]Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN 2017: 3347-3354 - [c26]Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE 2017: 1807-1812 - 2016
- [c25]Thomas W. Rauber, Victor Freitas Rocha, Lucas H. Sousa Mello, Flávio Miguel Varejão:
Decision template multi-label classification based on recursive dependent binary relevance. CEC 2016: 2402-2408 - [c24]Thiago Oliveira-Santos, Thomas W. Rauber, Flávio Miguel Varejão, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues:
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. ICTAI 2016: 415-422 - 2015
- [j3]Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão:
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62(1): 637-646 (2015) - [c23]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI 2015: 697-704 - [c22]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. INDIN 2015: 127-132 - 2014
- [c21]Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Flávio Miguel Varejão:
Multi-label Fault Classification Experiments in a Chemical Process. BRACIS 2014: 265-270 - [c20]Thomas W. Rauber, Lucas H. Sousa Mello, Victor Freitas Rocha, Diego Luchi, Flávio Miguel Varejão:
Recursive Dependent Binary Relevance Model for Multi-label Classification. IBERAMIA 2014: 206-217 - [c19]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. IECON 2014: 2551-2557 - [c18]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. INDIN 2014: 67-72 - 2013
- [c17]Thomas W. Rauber, Flávio Miguel Varejão:
Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. CAIP (1) 2013: 449-456 - [c16]Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Feature models and condition visualization for rotating machinery fault diagnosis. ICECS 2013: 265-268 - [c15]Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro:
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. ICECS 2013: 477-480 - [c14]Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro:
Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. IECON 2013: 5537-5542 - 2012
- [c13]Lucas H. Sousa Mello, Flávio Miguel Varejão, Thomas W. Rauber:
Kernel enhanced multilayer perceptron for industrial process diagnosis. IJCNN 2012: 1-8 - 2011
- [j2]Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris, Marcelo Valentim, Rodrigo J. Batista, Flávio Miguel Varejão, Thomas W. Rauber:
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles. Integr. Comput. Aided Eng. 18(1): 61-74 (2011) - [c12]Fernando Kentaro Inaba, Evandro O. T. Salles, Thomas W. Rauber:
Kernel Sammon Map. SIBGRAPI 2011: 329-336 - [c11]Thomas W. Rauber, Karsten Berns:
Kernel Multilayer Perceptron. SIBGRAPI 2011: 337-343 - 2010
- [c10]Estefhan Dazzi Wandekokem, Flávio Miguel Varejão, Thomas W. Rauber:
An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis. CIARP 2010: 500-508 - [c9]Marcelo V. de Oliveira, Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris, Flávio Miguel Varejão, Thomas W. Rauber, Rodgrigo Batista:
A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. ICTAI (1) 2010: 417-420
2000 – 2009
- 2009
- [c8]Eduardo Mendel, Thomas W. Rauber, Flávio Miguel Varejão, Rodrigo J. Batista:
Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs. EUSIPCO 2009: 1602-1606 - 2008
- [j1]Thomas W. Rauber, Tim Braun, Karsten Berns:
Probabilistic distance measures of the Dirichlet and Beta distributions. Pattern Recognit. 41(2): 637-645 (2008) - 2002
- [c7]Silvana Rossetto, Flávio Miguel Varejão, Thomas W. Rauber:
An Expert System Application for Improving Results in a Handwritten Form Recognition System. IEA/AIE 2002: 383-392 - [c6]Wilian Flavio Rigo, Aurelio Paulo Batista Da Silva, Thomas W. Rauber:
Semi-Automatic Identification of Optic Disk by Image Processing for Quantitative Funduscopy. SIBGRAPI 2002: 18-23 - 2000
- [c5]Silvana Rossetto, Flávio Miguel Varejão, Thomas W. Rauber:
Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários. IBERAMIA-SBIA 2000 Open Discussion Track 2000: 96-106
1990 – 1999
- 1997
- [c4]Thomas W. Rauber, Valério B. de Souza, Silvana Rossetto:
A System for Automatic Form Reading. BSDIA 1997: 311-321 - 1994
- [c3]Thomas W. Rauber, M. M. Barata, Adolfo Steiger-Garção:
Learning of Specific Process Monitors in Machine Tool Supervision. AIRTC 1994: 105-110 - 1992
- [c2]Thomas W. Rauber, Adolfo Steiger-Garção:
Shape description by UNL Fourier features-an application to handwritten character recognition. ICPR (2) 1992: 466-469 - [c1]Thomas W. Rauber, Adolfo Steiger-Garção:
2-D Form Descriptors Based on a Normalized Parametric Polar Transform (UNL Transform). MVA 1992: 561-566
Coauthor Index
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