Adaptive neuro-fuzzy logic analysis based on myoelectric signals for multifunction prosthesis control. - Gabriela W. Favieiro; Alexandre Balbinot (EMBC, 2011)

Measurement of transmissibility on individuals. - Alexandre Balbinot; Adalberto Schuck; Yuri Bruxel (I2MTC, 2013)

Design and uncertainty analysis of a bioimpedance measurement channel. - Adalberto Schuck; Alexandre Balbinot; Rodrigo Wolff Porto (I2MTC, 2013)

Adaptive and Linear Energy Based Detector for a Virtual Mouse Control. - Alexandre Balbinot; Guilherme Corseti; Amanda Balbinot (IWBBIO, 2013)

Portable system for force measurement of long-term monitoring during human gait. - Romulo Sehnen; Alexandre Balbinot; Amanda Balbinot (IWBBIO, 2013)

A Neuro-Fuzzy System for Characterization of Arm Movements. - Alexandre Balbinot; Gabriela W. Favieiro (Sensors, 2013)

Executed Movement Using EEG Signals through a Naive Bayes Classifier. - Juliano Machado; Alexandre Balbinot (Micromachines, 2014)

A New Crank Arm-Based Load Cell for the 3D Analysis of the Force Applied by a Cyclist. - Alexandre Balbinot; Cleiton Milani; Jussan da Silva Bahia Nascimento (Sensors, 2014)

Upper-limb movement classification based on sEMG signal validation with continuous channel selection. - V. H. Cene; Gabriela W. Favieiro; Alexandre Balbinot (EMBC, 2015)

Portable electrocardiograph through android application. - Igor H. de Oliveira; V. H. Cene; Alexandre Balbinot (EMBC, 2015)

Complete factorial design experiment for 3D load cell instrumented crank validation. - Omar Valle-Casas; Rafael Dalazen; Vinicius Cene; Alexandre Balbinot (EMBC, 2015)

Novel method to characterize upper-limb movements based on paraconsistent logic and myoelectric signals. - Gabriela W. Favieiro; Karina O. A. Moura; Alexandre Balbinot (EMBC, 2016)

Support vectors machine classification of surface electromyography for non-invasive naturally controlled hand prostheses. - Karina O. A. Moura; Gabriela W. Favieiro; Alexandre Balbinot (EMBC, 2016)

A new crank arm based load cell, with built-in conditioning circuit and strain gages, to measure the components of the force applied by a cyclist. - Andre V. Pigatto; Karina O. A. Moura; Gabriela W. Favieiro; Alexandre Balbinot (EMBC, 2016)

Movement imagery classification in EMOTIV cap based system by Naïve Bayes. - Vinicius N. Stock; Alexandre Balbinot (EMBC, 2016)

Using non-iterative methods and random weight networks to classify upper-limb movements through sEMG signals. - Vinicius H. Cene; Gabriela W. Favieiro; Alexandre Balbinot (EMBC, 2017)

Reever control: A biosignal controlled interface. - Vinicius Horn Cene; Gabriela W. Favieiro; Luciana P. Nedel; Alexandre Balbinot (EMBC, 2017)

sEMG feature selection and classification using SVM-RFE. - Maurício Cagliari Tosin; Mariano Majolo; Raissan Chedid; Vinicius H. Cene; Alexandre Balbinot (EMBC, 2017)

Using Antonyan Vardan Transform and Extreme Learning Machines for Accurate sEMG Signal Classification. - Vinicius Horn Cene; Raphael Ruschel dos Santos; Alexandre Balbinot (EMBC, 2018)

Fault-Tolerant Sensor Detection of sEMG signals: Quality Analysis Using a Two-Class Support Vector Machine. - Karina O. A. Moura; Raphael Ruschel dos Santos; Alexandre Balbinot (EMBC, 2018)

An Automatic Cycling Performance Classifier System Based on the Crank Arm Force Measurement Data. - Andre Vieira Pigatto; Raphael Ruschel dos Santos; Alexandre Balbinot (EMBC, 2018)

Using the sEMG signal representativity improvement towards upper-limb movement classification reliability. - Vinicius Horn Cene; Alexandre Balbinot (Biomed. Signal Process. Control., 2018)

Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System. - Karina O. A. Moura; Alexandre Balbinot (Sensors, 2018)

Smoothed arg max Extreme Learning Machine: An Alternative to Avoid Classification Ripple in sEMG Signals. - Vinicius Horn Cene; Juliano Machado; Alexandre Balbinot (EMBC, 2019)

Recurrent Neural Network as Estimator for a Virtual sEMG Channel. - Juliano C. Machado; Vinicius H. Cene; Alexandre Balbinot (EMBC, 2019)

Paraconsistent Random Forest: An Alternative Approach for Dealing With Uncertain Data. - Gabriela W. Favieiro; Alexandre Balbinot (IEEE Access, 2019)

Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines. - Vinicius Horn Cene; Maurício Cagliari Tosin; Juliano Machado; Alexandre Balbinot (Sensors, 2019)

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)

Evaluation of recurrent neural networks as epileptic seizure predictor. - Luciano Bongiorni; Alexandre Balbinot (Array, 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)

Deep learning for surface electromyography artifact contamination type detection. - Juliano Machado; Amauri Machado; Alexandre Balbinot (Biomed. Signal Process. Control., 2021)

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)

Identification and removal of contaminants in sEMG recordings through a methodology based on Fuzzy Inference and Actor-Critic Reinforcement learning. - Maurício Cagliari Tosin; Alexandre Balbinot (Expert Syst. Appl., 2022)

sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges. - Maurício Cagliari Tosin; Juliano C. Machado; Alexandre Balbinot (J. Artif. Intell. Res., 2022)

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)

Proposal of New Load Cells Based on Shoe Cleats to Measure Forces and Moments Applied by a Cyclist. - Matheus de Oliveira Araújo; Alexandre Balbinot; Fernando Weimer; Luciano Salerno (IEEE Instrum. Meas. Mag., 2024)

A strategy based on paraconsistent random forest for sEMG gesture recognition systems robust to contaminated data. - Gabriela W. Favieiro; Maurício Cagliari Tosin; Alexandre Balbinot (Comput. Biol. Medicine, 2025)

An online training strategy based on the transfer learning concept for treating contaminants in surface electromyography. - Maurício Cagliari Tosin; Tiago Oliveira Weber; Alexandre Balbinot (Eng. Appl. Artif. Intell., 2025)

A Critical Analysis of Generative Adversarial Networks in Anomaly Detection for Time Series. - Marcelo Bozzetto; Maurício Cagliari Tosin; Tiago Oliveira Weber; Alexandre Balbinot (Expert Syst. J. Knowl. Eng., 2025)