output
20102025
most citedChildren's health in the digital age

84 citations

10 papers

physics.optics2025

New Method for Injectable Quinine Quality Assurance Control Using a Multi-Spectral Microscope

A. Sow, I. Traore, T. Diallo +1

Africa is the world region that is most affected by malaria. Among the therapies used, injectable quinine is considered to be one of the effective antimalarial drug, however non-qu…

physics.optics2025★ 9 cited

Comparison of Gaussian process regression, partial least squares, random forest and support vector machines for a near infrared calibration of paracetamol samples

Aminata Sow, Issiaka Traore, Tidiane Diallo +2

In this article, we analyze the near-infrared (NIR) spectra of fifty-eight (58) commercial tablets of 500 mg of paracetamol from different origins (that is, with different batch nu…

physics.soc-ph2024★ 6 cited

Preserving system activity while controlling epidemic spreading in adaptive temporal networks

Marco Mancastroppa, Alessandro Vezzani, Vittoria Colizza +1

Human behaviour strongly influences the spread of infectious diseases: understanding the interplay between epidemic dynamics and adaptive behaviours is essential to improve respons…

stat.ML2023★ 1 cited

Variational Inference for Longitudinal Data Using Normalizing Flows

Clément Chadebec, Stéphanie Allassonnière

This paper introduces a new latent variable generative model able to handle high dimensional longitudinal data and relying on variational inference. The time dependency between the…

cs.CV2022

Mapping the ocular surface from monocular videos with an application to dry eye disease grading

Ikram Brahim, Mathieu Lamard, Anas-Alexis Benyoussef +4

With a prevalence of 5 to 50%, Dry Eye Disease (DED) is one of the leading reasons for ophthalmologist consultations. The diagnosis and quantification of DED usually rely on ocular…

stat.ML2021

Data Augmentation with Variational Autoencoders and Manifold Sampling

Clément Chadebec, Stéphanie Allassonnière

We propose a new efficient way to sample from a Variational Autoencoder in the challenging low sample size setting. This method reveals particularly well suited to perform data aug…