Francisco de Assis Boldt

22 papers B 2C 4Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Industrial steel slag flow data loading method for deep learning applications.
Expert Syst. Appl.
Mert Sehri, Ana Cardoso, Francisco de Assis Boldt, Patrick Dumond
2025 J jnl
Assessing the Effectiveness of Transfer Learning in Chest X-Ray Analysis With the BRAX Dataset.
IEEE Access
Elton Douglas Silva, Thiago B. Pereira, Carlos Eduardo Brandão, Francisco de Assis Boldt, Thiago M. Paixão
2025 J jnl
Industrial Steel Slag Flow Data Loading Method for Deep Learning Applications.
CoRR
Mert Sehri, Ana Cardoso, Francisco de Assis Boldt, Patrick Dumond
2025 J jnl
Proper Body Landmark Subset Enables More Accurate and 5X Faster Recognition of Isolated Signs in LIBRAS.
CoRR
Daniele L. V. dos Santos, Thiago B. Pereira, Carlos Eduardo G. R. Alves, Richard Junior Manuel Godinez Tello, Francisco de Assis Boldt, Thiago M. Paixão
2025 J jnl
Selective Embedding for Deep Learning.
CoRR
Mert Sehri, Zehui Hua, Francisco de Assis Boldt, Patrick Dumond
2025 J jnl
Selective embedding for deep learning.
Knowl. Based Syst.
Mert Sehri, Zehui Hua, Francisco de Assis Boldt, Patrick Dumond
2025 J jnl
Towards a Universal Vibration Analysis Dataset: A Framework for Transfer Learning in Predictive Maintenance and Structural Health Monitoring.
CoRR
Mert Sehri, Igor Varejão, Zehui Hua, Vitor Berger Bonella, Adriano Santos, Francisco de Assis Boldt, Patrick Dumond, Flávio Miguel Varejão
2024 — conf
Enhancing Brazilian Sign Language Recognition Through Skeleton Image Representation.
SIBGRAPI
Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão
2024 J jnl
Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation.
CoRR
Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão
2021 C conf
A Proposal to Mitigate Similarity Bias for the Paderborn Bearing Data Set.
IECON
Lúcio Antônio Stange Venturim, Francisco de Assis Boldt
2021 J jnl
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals.
Expert Syst. Appl.
Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
2020 J jnl
Feature selection for multivariate contribution analysis in fault detection and isolation.
J. Frankl. Inst.
Thomas W. Rauber, Francisco de Assis Boldt, Celso José Munaro
2017 — conf
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.
ISIE
Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
2017 J jnl
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.
Neurocomputing
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
2017 B conf
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.
IJCNN
Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
2015 C conf
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.
INDIN
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
2015 J jnl
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis.
IEEE Trans. Ind. Electron.
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão
2015 B conf
Single Sequence Fast Feature Selection for High-Dimensional Data.
ICTAI
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
2014 C conf
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.
IECON
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
2014 C conf
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions.
INDIN
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
2013 — conf
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration.
ICECS
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
2013 — conf
Feature models and condition visualization for rotating machinery fault diagnosis.
ICECS
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro