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Journal Articles
- 2022
[j4]Maurício Cagliari Tosin, Juliano C. Machado, Alexandre Balbinot:
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges. J. Artif. Intell. Res. 75: 83-127 (2022)- 2021
- [j3]Juliano Machado
, Amauri Machado, Alexandre Balbinot:
Deep learning for surface electromyography artifact contamination type detection. Biomed. Signal Process. Control. 68: 102752 (2021) - 2019
- [j2]Vinicius Horn Cene, Maurício Cagliari Tosin, Juliano Machado, Alexandre Balbinot:
Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines. Sensors 19(8): 1864 (2019) - 2014
- [j1]Juliano Machado, Alexandre Balbinot:
Executed Movement Using EEG Signals through a Naive Bayes Classifier. Micromachines 5(4): 1082-1105 (2014)
Conference and Workshop Papers
- 2023
- [c4]Cássio Ribeiro Pereira, Acssa Passos Sousa, Fábio P. Itturriet, Juliano C. Machado, André Luís Del Mestre Martins:
FASS-ECG: A FHIR Cloud API to Enable Streaming and Storage of Continuous 12-leads ECGs. CBMS 2023: 898-903 - 2020
- [c3]Juliano Machado, Maurício Cagliari Tosin, Leia B. Bagesteiro, Alexandre Balbinot:
Recurrent Neural Network for Contaminant Type Detector in Surface Electromyography Signals. EMBC 2020: 3759-3762 - 2019
- [c2]Juliano C. Machado, Vinicius H. Cene, Alexandre Balbinot:
Recurrent Neural Network as Estimator for a Virtual sEMG Channel. EMBC 2019: 3620-3623 - [c1]Vinicius Horn Cene, Juliano Machado, Alexandre Balbinot:
Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG Signals. EMBC 2019: 6603-6606
Coauthor Index
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