3 citations · 6 across the 5 of their papers we have counts for
5 papers
A Hierarchical Deep Learning Approach for Minority Instrument Detection
Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski +2
Identifying instrument activities within audio excerpts is vital in music information retrieval, with significant implications for music cataloging and discovery. Prior deep learni…
A Hybrid GNN approach for predicting node data for 3D meshes
Shwetha Salimath, Francesca Bugiotti, Frederic Magoules
Metal forging is used to manufacture dies. We require the best set of input parameters for the process to be efficient. Currently, we predict the best parameters using the finite e…
Point-Cloud-based Deep Learning Models for Finite Element Analysis
Meduri Venkata Shivaditya, Francesca Bugiotti, Frederic Magoules
In this paper, we explore point-cloud based deep learning models to analyze numerical simulations arising from finite element analysis. The objective is to classify automatically t…
Graph Neural Network-based Surrogate Models for Finite Element Analysis
Meduri Venkata Shivaditya, José Alves, Francesca Bugiotti +1
Current simulation of metal forging processes use advanced finite element methods. Such methods consist of solving mathematical equations, which takes a significant amount of time…
Smart Crawling: A New Approach toward Focus Crawling from Twitter
Ahmad Khazaie, Nacéra Bennacer Seghouani, Francesca Bugiotti
Twitter is a social network that offers a rich and interesting source of information challenging to retrieve and analyze. Twitter data can be accessed using a REST API. The availab…