no code implementations • 8 Apr 2024 • Omran Ayoub, Davide Andreoletti, Aleksandra Knapińska, Róża Goścień, Piotr Lechowicz, Tiziano Leidi, Silvia Giordano, Cristina Rottondi, Krzysztof Walkowiak
In this work, we address this challenge for the problem of traffic forecasting and propose an approach that exploits adaptive learning algorithms, namely, liquid neural networks, which are capable of self-adaptation to abrupt changes in data patterns without requiring any retraining.
no code implementations • 14 Jul 2020 • Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi
Networked Music Performance (NMP) is envisioned as a potential game changer among Internet applications: it aims at revolutionizing the traditional concept of musical interaction by enabling remote musicians to interact and perform together through a telecommunication network.
no code implementations • 21 Mar 2018 • Francesco Musumeci, Cristina Rottondi, Avishek Nag, Irene Macaluso, Darko Zibar, Marco Ruffini, Massimo Tornatore
Advanced mathematical tools are required to extract meaningful information from these data and take decisions pertaining to the proper functioning of the networks from the network-generated data.