384 citations · 505 across the 25 of their papers we have counts for
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stat.AP2020★ 8 cited
A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
Claire Donnat, Nina Miolane, Freddy Bunbury +1
Computer-Aided Diagnosis has shown stellar performance in providing accurate medical diagnoses across multiple testing modalities (medical images, electrophysiological signals, etc…
cs.LG2020★ 96 cited
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Alice Le Brigant, Johan Mathe +16
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matri…
stat.AP2020★ 1 cited
Modeling the Heterogeneity in COVID-19's Reproductive Number and its Impact on Predictive Scenarios
Claire Donnat, Susan Holmes
The correct evaluation of the reproductive number for COVID-19 -- which characterizes the average number of secondary cases generated by each typical primary case -- is central…