Recurrent Neural Network for Contaminant Type Detector in Surface Electromyography Signals. - Juliano Machado; Maurício Cagliari Tosin; Leia B. Bagesteiro; Alexandre Balbinot (EMBC, 2020)

Genetic Algorithm Application to Feature Selection in sEMG Movement Recognition with Regularized Extreme Learning Machine. - Maurício Cagliari Tosin; Leia B. Bagesteiro; Alexandre Balbinot (EMBC, 2020)

Actor-Critic Reinforcement Learning Based Algorithm for Contaminant Type Identification in Surface Electromyography Data*. - Maurício Cagliari Tosin; Leia B. Bagesteiro; Alexandre Balbinot (EMBC, 2021)

Developing an Upper Limb Kinematics Database of Activities of Daily Living. - Mia Huang; Sandra M. S. F. Freitas; Leia B. Bagesteiro (EMBC, 2022)

Spiking Neural Networks Diagnosis of ADHD subtypes through EEG Signals Evaluation. - Guilherme R. Pedrollo; Alexandre R. Franco; Leia B. Bagesteiro; Alexandre Balbinot (EMBC, 2022)

Actor-Critic Reinforcement Learning Based Algorithm for Contaminant Minimization in sEMG Movement Recognition. - Maurício Cagliari Tosin; Leia B. Bagesteiro; Alexandre Balbinot (EMBC, 2022)

Identifying a Upper-Limb Phase-Dependent Variable under Perturbations for Powered Prosthesis Arm Control. - Matthew Haupmann; Mia Huang; George Selly; Leia B. Bagesteiro; David Quintero (EMBC, 2023)

One-Leg Standing: Right and Left Balance COP and EMG Analyses. - Leia B. Bagesteiro; Liana E. Brown (EMBC, 2024)

FPGA-based Implementation of Random Forest Classifier for sEMG Signal Classification. - Wagner Martins; Leia B. Bagesteiro; Tiago Oliveira Weber; Alexandre Balbinot (EMBC, 2024)

ADHD Diagnosis through Resting-State EEG Frequency Analysis with Random Forest. - Guilherme R. Pedrollo; Leia B. Bagesteiro; Alexandre R. Franco; Alexandre Balbinot (EMBC, 2024)