Barbara Pascal — accepted AI-conference papers

2025

Hierarchical Bayesian Estimation of COVID-19 Reproduction Number

Patrice Abry, Juliette Chevallier, Gersende Fort, Barbara Pascal

ICASSP 2025accepted

Assessing the intensity of a epidemic, such as the COVID19 pandemic, during the epidemic outbreak, constitutes a significant technical challenge with high societal stakes. Elaborating on classical epidemiological models, this work aims to define a hierarchical Bayesian model that permits the robust…

Cited by 0 Source ↗Scholar ↗

2018

Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation

Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet

ICASSP 2018accepted

Texture segmentation still constitutes an on-going challenge, especially when processing large-size images. Recently, procedures integrating a scale-free (or fractal) wavelet-leader model allowed the problem to be reformulated in a convex optimization framework by including a TV penalization. In thi…

Cited by 0 Source ↗Scholar ↗