David Dalmazzo

According to our database, David Dalmazzo authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies.

David Dalmazzo, Ken Déguernel, Bob L. T. Sturm

Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024

2020

Machine learning and deep neural networks approach to modelling musical gestures.

David Cabrera Dalmazzo

PhD thesis, 2020

2019

Bow Gesture Classification to Identify Three Different Expertise Levels: A Machine Learning Approach.

David Dalmazzo, Rafael Ramírez

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

A Machine Learning Approach to Violin Bow Technique Classification: a Comparison Between IMU and MOCAP systems.

David Dalmazzo, Simone Tassani, Rafael Ramírez

Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018

2017

Air violin: a machine learning approach to fingering gesture recognition.

David Dalmazzo, Rafael Ramírez

Proceedings of the 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education, 2017

2016

Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients.

Gregory Zegarek, Xerxes D. Arsiwalla, David Dalmazzo, Paul F. M. J. Verschure

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

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

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

Proceedings of the INNS Conference on Big Data 2015, 2015