Shape description by UNL Fourier features-an application to handwritten character recognition. - Thomas W. Rauber; Adolfo Steiger-Garção (ICPR (2), 1992)

2-D Form Descriptors Based on a Normalized Parametric Polar Transform (UNL Transform). - Thomas W. Rauber; Adolfo Steiger-Garção (MVA, 1992)

Learning of Specific Process Monitors in Machine Tool Supervision. - Thomas W. Rauber; M. M. Barata; Adolfo Steiger-Garção (AIRTC, 1994)

A System for Automatic Form Reading. - Thomas W. Rauber; Valério B. de Souza; Silvana Rossetto (BSDIA, 1997)

Uso de Relacionamentos Semânticos para Auxiliar o Reconhecimento da Informação Manuscrita em Formulários. - Silvana Rossetto; Flávio Miguel Varejão; Thomas W. Rauber (IBERAMIA-SBIA 2000 Open Discussion Track, 2000)

An Expert System Application for Improving Results in a Handwritten Form Recognition System. - Silvana Rossetto; Flávio Miguel Varejão; Thomas W. Rauber (IEA/AIE, 2002)

Semi-Automatic Identification of Optic Disk by Image Processing for Quantitative Funduscopy. - Wilian Flavio Rigo; Aurelio Paulo Batista Da Silva; Thomas W. Rauber (SIBGRAPI, 2002)

Probabilistic distance measures of the Dirichlet and Beta distributions. - Thomas W. Rauber; Tim Braun; Karsten Berns (Pattern Recognit., 2008)

Rolling element bearing fault diagnosis in rotating machines of oil extraction rigs. - Eduardo Mendel; Thomas W. Rauber; Flávio Miguel Varejão; Rodrigo J. Batista (EUSIPCO, 2009)

An Overproduce-and-Choose Strategy to Create Classifier Ensembles with Tuned SVM Parameters Applied to Real-World Fault Diagnosis. - Estefhan Dazzi Wandekokem; Flávio Miguel Varejão; Thomas W. Rauber (CIARP, 2010)

A Comparison of Two Feature-Based Ensemble Methods for Constructing Motor Pump Fault Diagnosis Classifiers. - Marcelo V. de Oliveira; Estefhan Dazzi Wandekokem; Eduardo Mendel; Fábio Fabris; Flávio Miguel Varejão; Thomas W. Rauber; Rodgrigo Batista (ICTAI (1), 2010)

Kernel Sammon Map. - Fernando Kentaro Inaba; Evandro O. T. Salles; Thomas W. Rauber (SIBGRAPI, 2011)

Kernel Multilayer Perceptron. - Thomas W. Rauber; Karsten Berns (SIBGRAPI, 2011)

Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles. - Estefhan Dazzi Wandekokem; Eduardo Mendel; Fábio Fabris; Marcelo Valentim; Rodrigo J. Batista; Flávio Miguel Varejão; Thomas W. Rauber (Integr. Comput. Aided Eng., 2011)

Kernel enhanced multilayer perceptron for industrial process diagnosis. - Lucas H. Sousa Mello; Flávio Miguel Varejão; Thomas W. Rauber (IJCNN, 2012)

Motor Pump Fault Diagnosis with Feature Selection and Levenberg-Marquardt Trained Feedforward Neural Network. - Thomas W. Rauber; Flávio Miguel Varejão (CAIP (1), 2013)

Feature models and condition visualization for rotating machinery fault diagnosis. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ICECS, 2013)

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ICECS, 2013)

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. - Thomas W. Rauber; Flávio Miguel Varejão; Fábio Fabris; Alexandre Rodrigues 001; Marcos Pellegrini Ribeiro (IECON, 2013)

Multi-label Fault Classification Experiments in a Chemical Process. - Thomas W. Rauber; Lucas H. Sousa Mello; Victor Freitas Rocha; Flávio Miguel Varejão (BRACIS, 2014)

Recursive Dependent Binary Relevance Model for Multi-label Classification. - Thomas W. Rauber; Lucas H. Sousa Mello; Victor Freitas Rocha; Diego Luchi; Flávio Miguel Varejão (IBERAMIA, 2014)

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (IECON, 2014)

Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (INDIN, 2014)

Single Sequence Fast Feature Selection for High-Dimensional Data. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (ICTAI, 2015)

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (INDIN, 2015)

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. - Thomas W. Rauber; Francisco de Assis Boldt; Flávio Miguel Varejão (IEEE Trans. Ind. Electron., 2015)

Decision template multi-label classification based on recursive dependent binary relevance. - Thomas W. Rauber; Victor Freitas Rocha; Lucas H. Sousa Mello; Flávio Miguel Varejão (CEC, 2016)

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. - Thiago Oliveira-Santos; Thomas W. Rauber; Flávio Miguel Varejão; Lucas Martinuzzo; Willian Oliveira; Marcos Pellegrini Ribeiro; Alexandre Rodrigues 001 (ICTAI, 2016)

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. - Thomas Walter Rauber; Thiago Oliveira-Santos; Francisco de Assis Boldt; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (IJCNN, 2017)

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. - Francisco de Assis Boldt; Thomas Walter Rauber; Thiago Oliveira-Santos; Alexandre Rodrigues 001; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (ISIE, 2017)

Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. - Francisco de Assis Boldt; Thomas W. Rauber; Flávio Miguel Varejão (Neurocomputing, 2017)

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. - Thiago Oliveira-Santos; Alexandre Rodrigues 001; Victor Freitas Rocha; Thomas W. Rauber; Flávio Miguel Varejão; Marcos Pellegrini Ribeiro (Integr. Comput. Aided Eng., 2018)

NP-Hardness of minimum expected coverage. - Lucas Henrique Sousa Mello; Flávio Miguel Varejão; Alexandre L. Rodrigues 001; Thomas W. Rauber (Pattern Recognit. Lett., 2019)

Feature selection for multivariate contribution analysis in fault detection and isolation. - Thomas W. Rauber; Francisco de Assis Boldt; Celso José Munaro (J. Frankl. Inst., 2020)

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. - Thomas Walter Rauber; Antonio Luiz da Silva Loca; Francisco de Assis Boldt; Alexandre Loureiros Rodrigues; Flávio Miguel Varejão (Expert Syst. Appl., 2021)

An annotated image database of building facades categorized into land uses for object detection using deep learning. - Frederico Damasceno Bortoloti; Jonivane Tavares; Thomas Walter Rauber; Patrick Marques Ciarelli; Rayane Cardozo Gama Botelho (Mach. Vis. Appl., 2022)