Thomas W. Rauber

Orcid: 0000-0002-6380-6584

Affiliations:
  • Federal University of Espírito Santo, Department of Computer Science, Brazil


According to our database1, Thomas W. Rauber authored at least 36 papers between 1992 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
An annotated image database of building facades categorized into land uses for object detection using deep learning.
Mach. Vis. Appl., 2022

2021
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals.
Expert Syst. Appl., 2021

2020
Feature selection for multivariate contribution analysis in fault detection and isolation.
J. Frankl. Inst., 2020

2019
NP-Hardness of minimum expected coverage.
Pattern Recognit. Lett., 2019

2018
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps.
Integr. Comput. Aided Eng., 2018

2017
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.
Neurocomputing, 2017

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Decision template multi-label classification based on recursive dependent binary relevance.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis.
IEEE Trans. Ind. Electron., 2015

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Single Sequence Fast Feature Selection for High-Dimensional Data.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Recursive Dependent Binary Relevance Model for Multi-label Classification.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

Multi-label Fault Classification Experiments in a Chemical Process.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the IECON 2013, 2013

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Feature models and condition visualization for rotating machinery fault diagnosis.
Proceedings of the 20th IEEE International Conference on Electronics, 2013

Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
Kernel enhanced multilayer perceptron for industrial process diagnosis.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles.
Integr. Comput. Aided Eng., 2011

Kernel Multilayer Perceptron.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Kernel Sammon Map.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

2010
A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009
Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Probabilistic distance measures of the Dirichlet and Beta distributions.
Pattern Recognit., 2008

2002
Semi-Automatic Identification of Optic Disk by Image Processing for Quantitative Funduscopy.
Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2002), 2002

An Expert System Application for Improving Results in a Handwritten Form Recognition System.
Proceedings of the Developments in Applied Artificial Intelligence, 2002

2000
Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários.
Proceedings of the International Joint Conference, 2000

1997
A System for Automatic Form Reading.
Proceedings of the Advances in Document Image Analysis, First Brazilian Symposium, 1997

1994
Learning of Specific Process Monitors in Machine Tool Supervision.
Proceedings of the Postprint Volume from the IFAC Symposium on Artificial Intelligence in Real-Time Control, 1994

1992
2-D Form Descriptors Based on a Normalized Parametric Polar Transform (UNL Transform).
Proceedings of IAPR Workshop on Machine Vision Applications, 1992

Shape description by UNL Fourier features-an application to handwritten character recognition.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992


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