Parallel Monte Carlo Tree Search in General Video Game Playing. - Luis G. S. Centeleghe; William da Rosa Fröhlich; Sandro José Rigo (BRACIS (2), 2020)

Evaluating a New Approach to Data Fusion in Wearable Physiological Sensors for Stress Monitoring. - Clarissa Rodrigues; William da Rosa Fröhlich; Amanda G. Jabroski; Sandro José Rigo; Andreia Rodrigues; Elisa Kern de Castro (BRACIS (2), 2020)

The Impact of Allostatic Load on Machine Learning Models. - William da Rosa Fröhlich; Sandro José Rigo; Marta Rosecler Bez; Daiane Rocha de Oliveira; Maurizio Zibetti (IBERAMIA, 2022)

Clinical Oncology Textual Notes Analysis Using Machine Learning and Deep Learning. - Diego Pinheiro da Silva; William da Rosa Fröhlich; Marco Antônio Schwertner; Sandro José Rigo (BRACIS (2), 2023)

ATHENA I - An architecture for near real-time physiological signal monitoring and pattern detection. - William da Rosa Fröhlich; Sandro José Rigo; Marta Rosecler Bez (Future Gener. Comput. Syst., 2024)

Approximation of Inertial Measurement Unit Data to Time Series Kinematic Data Through Correlation Analysis and Machine Learning. - William da Rosa Fröhlich; Rafael Bittencourt; Sandro José Rigo; Rafael Baptista; César A. M. Marcon (BIOSTEC (2): HEALTHINF, 2025)

Smartphone Inertial Sensors in Gait Analysis: A Comparison with a Commercial Device. - Marco Oliveira; William da Rosa Fröhlich; Rafael Baptista; Sandro José Rigo; César A. M. Marcon (BIOSTEC (2): HEALTHINF, 2025)

Investigating Correlation and Similarity Between Inertial Measurement Unit and Kinematic Data in Gait Analysis. - William da Rosa Fröhlich; Rafael Bittencourt; Sandro José Rigo; Rafael Baptista; César A. M. Marcon (LASCAS, 2025)