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Francisco de Assis Boldt

Observed names: Boldt, Francisco de Assis, DE ASSIS BOLDT, FRANCISCO, FRANCISCO DE ASSIS BOLDT, Francisco De Assis Boldt, Francisco Boldt, Francisco De A. Boldt, Francisco De Assis Boldt, Francisco de A. Boldt
ORCID: 0000-0001-6919-5377
Observed ORCID: 0000-0001-6919-5377
OpenAlex ID: A5078430550
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis
2014 · Thomas W. Rauber, Francisco de Assis Boldt, et al. · IEEE Transactions on Industrial Electronics · 370
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals
2020 · Thomas Walter Rauber, Antonio Luiz da Silva Loca, et al. · Expert Systems with Applications · 115
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process
2017 · Francisco de Assis Boldt, Thomas W. Rauber, et al. · Neurocomputing · 28
Enhancing Brazilian Sign Language Recognition Through Skeleton Image Representation
2024 · Carlos Eduardo G. R. Alves, Francisco De A. Boldt, et al. · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) · 22
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Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis
2017 · Thomas Walter Rauber, Thiago Oliveira-Santos, et al. · International Joint Conference on Neural Networks (IJCNN) · 16
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions
2014 · Francisco de Assis Boldt, Thomas W. Rauber, et al. · IEEE International Conference on Industrial Informatics (INDIN) · 13
Selective embedding for deep learning
2025 · Mert Sehri, Zehui Hua, et al. · Knowledge-Based Systems · 12
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals
2015 · Francisco de Assis Boldt, Thomas W. Rauber, et al. · IEEE International Conference on Industrial Informatics (INDIN) · 12
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring
2025 · Mert Sehri, Igor Varejão, et al. · International Journal of Prognostics and Health Management · 10
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An accelerometer-based dataset for monitoring slag in steel manufacturing
2025 · Mert Sehri, Lucas Mantuan Ayres, et al. · BMC Research Notes · 6
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A Proposal to Mitigate Similarity Bias for the Paderborn Bearing Data Set
2021 · Lucio Antonio Stange Venturim, Francisco de Assis Boldt · Annual Conference of the IEEE Industrial Electronics Society (IECON) · 6
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump
2017 · Francisco de Assis Boldt, Thomas Walter Rauber, et al. · IEEE International Symposium on Industrial Electronics (ISIE) · 6
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process
2014 · Francisco de Assis Boldt, Thomas W. Rauber, et al. · Annual Conference of the IEEE Industrial Electronics Society (IECON) · 6
Industrial steel slag flow data loading method for deep learning applications
2025 · Mert Sehri, Ana Beatriz Cardoso, et al. · Expert Systems with Applications · 5
A fast feature selection algorithm applied to automatic faults diagnosis of rotating machinery
2013 · Francisco De Assis Boldt, Thomas Walter Rauber, et al. · Journal of Applied Computing Research · 5
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Integrating Spatial and Temporal Features for Bearing Fault Diagnosis: A Cross-Domain Analysis Using Vibration and Acoustic Data
2025 · Mert Sehri, Niousha Khalilian, et al. · International Journal of Prognostics and Health Management · 4
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration
2013 · Thomas W. Rauber, Francisco de Assis Boldt, et al. · IEEE International Conference on Electronics, Circuits and Systems (ICECS) · 3
Single Sequence Fast Feature Selection for High-Dimensional Data
2015 · Francisco de Assis Boldt, Thomas W. Rauber, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 2
Comparative Evaluation of YOLO-family Detectors for Pig Detection in Precision Livestock Systems
2026 · Marcos Vinicius Mendes Faria, Thiago Meireles Paixão, et al. · Revista de Informática Teórica e Aplicada · 1
Assessing the Effectiveness of Transfer Learning in Chest X-Ray Analysis With the BRAX Dataset
2025 · Elton Douglas Silva, Thiago B. Pereira, et al. · IEEE Access · 1
Avaliação de Modelos Neurais para Sumarização de Código-fonte
2022 · Leandro Baêta Lustosa Pontes, Hilário Tomaz Alves de Oliveira, et al. · Anais do Seminário Integrado de Software e Hardware (SEMISH) · 1
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Predição da Temperatura do Ferro-Gusa em um Alto-Forno utilizando Redes Neurais LSTM
2022 · Rodrigo Seidel, Karin Satie Komati, et al. · Anais do Computer on the Beach · 1
Geração Semiautomática de Valores de Referência para Identificação de Obstruções em Lingotamento Contínuo
2020 · Leandro Rodrigues Ramos, Karin Satie Komati, et al. · Anais do Seminário Integrado de Software e Hardware (SEMISH) · 1
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Previsão de receitas de ICMS do estado do Espírito Santo através de Seleção de Características em Cascata e técnicas de Aprendizado de Máquina
2019 · Marcelo Carmo, Karin Komati, et al. · 1
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Descrição Automática De Mudanças Ambientais Em Imagens De Satélite Utilizando Modelos Multimodais De Larga Escala (geoia)
2026 · HELLESANDRO GONZAGA DE CARVALHO, FRANCISCO DE ASSIS BOLDT, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 43
Citation count: 654
H-index: 9
I10-index: 9
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