54 citations
- Centre National de la Recherche ScientifiqueFR3 papers
- Université de BourgogneFR3 papers
- University of Rome Tor VergataIT3 papers
- Institut National des Sciences Appliquées de LyonFR2 papers
- Laboratoire de Mécanique des Contacts et des StructuresFR2 papers
- Maison des Sciences sociales et des Humanités de DijonFR2 papers
- Sorbonne UniversitéFR2 papers
- Université de LyonFR2 papers
- Arts et MétiersFR1 paper
- Centre Hospitalier Universitaire de RennesFR1 paper
- Centre Hospitalier Universitaire de ToulouseFR1 paper
- Centre Inria de l'Université de LorraineFR1 paper
9 papers
Fairness is in the details: Face Dataset Auditing
Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes
Auditing involves verifying the proper implementation of a given policy. As such, auditing is essential for ensuring compliance with the principles of fairness, equity, and transpa…
Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate
Leonardo Geronzi, Antonio Martinez, Michel Rochette +13
Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to pre…
Calibration of the mechanical boundary conditions for a patient-specific thoracic aorta model including the heart motion effect
Leonardo Geronzi, Aline Bel-Brunon, Antonio Martinez +7
Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary conditions (BCs) of a thoracic aorta (TA) model derived from one patient with ascen…
Deformation Recovery: Localized Learning for Detail-Preserving Deformations
Ramana Sundararaman, Nicolas Donati, Simone Melzi +2
We introduce a novel data-driven approach aimed at designing high-quality shape deformations based on a coarse localized input signal. Unlike previous data-driven methods that requ…
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)
Mouadh Yagoubi, Milad Leyli-Abadi, David Danan +6
The use of machine learning (ML) techniques to solve complex physical problems has been considered recently as a promising approach. However, the evaluation of such learned physica…
Data-Driven Observability Analysis for Nonlinear Stochastic Systems
Pierre-François Massiani, Mona Buisson-Fenet, Friedrich Solowjow +2
Distinguishability and, by extension, observability are key properties of dynamical systems. Establishing these properties is challenging, especially when no analytical model is av…