Connectomics to Semantomics: Addressing the Brain's Big Data Challenge1. - Xerxes D. Arsiwalla; David Dalmazzo; Riccardo Zucca; Alberto Betella; Santiago Brandi; Enrique Martínez Bueno; Pedro Omedas; Paul F. M. J. Verschure (INNS Conference on Big Data, 2015)

Network dynamics with BrainX3: a large-scale simulation of the human brain network with real-time interaction. - Xerxes D. Arsiwalla; Riccardo Zucca; Alberto Betella; Enrique Martínez Bueno; David Dalmazzo; Pedro Omedas; Gustavo Deco; Paul F. M. J. Verschure (Frontiers Neuroinformatics, 2015)

Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients. - Gregory Zegarek; Xerxes D. Arsiwalla; David Dalmazzo; Paul F. M. J. Verschure (ICANN (1), 2016)

Air violin: a machine learning approach to fingering gesture recognition. - David Dalmazzo; Rafael Ramírez 001 (MIE@ICMI, 2017)

A Machine Learning Approach to Violin Bow Technique Classification: a Comparison Between IMU and MOCAP systems. - David Dalmazzo; Simone Tassani; Rafael Ramírez 001 (iWOAR, 2018)

Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach. - David Dalmazzo; Rafael Ramírez 001 (PKDD/ECML Workshops (2), 2019)

Machine learning and deep neural networks approach to modelling musical gestures. - David Cabrera Dalmazzo (2020)

The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies. - David Dalmazzo; Ken Déguernel; Bob L. T. Sturm (EvoMUSART, 2024)

Error monitoring and correction in violin performance: An EEG study. - Ángel David Blanco; Jordi Costa-Faidella; Alfonso Pérez Carrillo; David Dalmazzo; Rafael Ramírez-Meléndez; Iria SanMiguel (NeuroImage, 2025)

The AI Music Arms Race: On the Detection of AI-Generated Music. - Laura Cros Vila; Bob L. T. Sturm; Luca Casini; David Dalmazzo (Trans. Int. Soc. Music. Inf. Retr., 2025)