Sim-to-Real in Reinforcement Learning for Everyone. - Juliano Vacaro; Guilherme Marques; Bruna Oliveira; Gabriel Paz; Thomas S. Paula; Wagston Staehler; David Murphy (LARS/SBR/WRE, 2019)

A Proposal for Intelligent Agents with Episodic Memory. - David Murphy; Thomas S. Paula; Wagston Staehler; Juliano Vacaro; Gabriel Paz; Guilherme Marques; Bruna Oliveira (CoRR, 2020)

Analysis of Electromyography Signals for Control Models of Power-Assisted Stroke Rehabilitation Devices of Upper Limb System. - Paulo Bonifacio; Valentina Vassilenko; Guilherme Marques; Diogo Casal (DoCEIS, 2021)

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. - Cyril Brzenczek; Quentin Klopfenstein; Tom Hähnel; Holger Fröhlich; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; Giuseppe Arena; Michele Bassis; et al. (npj Digit. Medicine, 2024)

Multi-cohort machine learning identifies predictors of cognitive impairment in Parkinson's disease. - Rebecca Ting Jiin Loo; Lukas Pavelka; Graziella Mangone; Fouad Khoury; Marie Vidailhet; Jean-Christophe Corvol; Enrico Glaab; Geeta Acharya; Gloria Aguayo; Myriam Alexandre; Muhammad Ali; Wim Ammerlann; et al. (npj Digit. Medicine, 2025)