2 papers
eess.SP2024
Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study
Justine Frija, Juliette Millet, Emilie Bequignon +8
Obstructive sleep apnea (OSA) is frequent and responsible for cardiovascular complications and excessive daytime sleepiness. It is underdiagnosed due to the difficulty to access th…
stat.ML2021
UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning
Robin Louiset, Pietro Gori, Benoit Dufumier +3
Subtype Discovery consists in finding interpretable and consistent sub-parts of a dataset, which are also relevant to a certain supervised task. From a mathematical point of view,…