Grab-and-Play Mapping: Creative Machine Learning Approaches for Musical Inclusion and Exploration. - Hugo Scurto; Rebecca Fiebrink (ICMC, 2016)

Shaping and exploring interactive motion-sound mappings using online clustering techniques. - Hugo Scurto; Frédéric Bevilacqua; Jules Françoise (NIME, 2017)

Machine Learning for Computer Music Multidisciplinary Research: A Practical Case Study. - Hugo Scurto; Axel Chemla-Romeu-Santos (CMMR, 2019)

Sound Control: Supporting Custom Musical Interface Design for Children with Disabilities. - Samuel Thompson Parke-Wolfe; Hugo Scurto; Rebecca Fiebrink (NIME, 2019)

Entrain: Encouraging Social Interaction in Collective Music Making. - Hugo Scurto; Wanyu Liu 001; Benjamin Matuszewski; Frédéric Bevilacqua; Jean-Louis Frechin; Uros Petrevski; Norbert Schnell (SIGGRAPH Studio, 2019)

Designing With Machine Learning for Interactive Music Dispositifs. (Design de l'apprentissage machine pour les dispositifs interactifs musicaux). - Hugo Scurto (2019)

Prototyping Machine Learning Through Diffractive Art Practice. - Hugo Scurto; Baptiste Caramiaux; Frédéric Bevilacqua (Conference on Designing Interactive Systems, 2021)

Designing Deep Reinforcement Learning for Human Parameter Exploration. - Hugo Scurto; Bavo Van Kerrebroeck; Baptiste Caramiaux; Frédéric Bevilacqua (ACM Trans. Comput. Hum. Interact., 2021)

Soundwalking Deep Latent Spaces. - Hugo Scurto; Ludmila Postel (NIME, 2023)

Probing Respiratory Care With Generative Deep Learning. - Hugo Scurto; Thomas Similowski; Samuel Bianchini; Baptiste Caramiaux (Proc. ACM Hum. Comput. Interact., 2023)