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Francisco de Assis Boldt
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2020 – today
- 2024
- [c10]Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão:
Enhancing Brazilian Sign Language Recognition Through Skeleton Image Representation. SIBGRAPI 2024: 1-6 - [i1]Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão:
Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation. CoRR abs/2404.19148 (2024) - 2021
- [j4]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) - [c9]Lúcio Antônio Stange Venturim, Francisco de Assis Boldt:
A Proposal to Mitigate Similarity Bias for the Paderborn Bearing Data Set. IECON 2021: 1-6 - 2020
- [j3]Thomas W. Rauber
Feature selection for multivariate contribution analysis in fault detection and isolation. J. Frankl. Inst. 357(10): 6294-6320 (2020)
2010 – 2019
- 2017
- [j2]Francisco de Assis Boldt
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239: 238-248 (2017) - [c8]Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN 2017: 3347-3354 - [c7]Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE 2017: 1807-1812 - 2015
- [j1]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) - [c6]Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão:
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI 2015: 697-704 - [c5]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
- [c4]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 - [c3]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
- [c2]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 - [c1]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
Coauthor Index
aka: Thomas Walter Rauber
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