Publications (9)
Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes
Alexandre Abraham, Andrés Hoyos Idrobo
With the growing access to administrative health databases, retrospective studies have become crucial evidence for medical treatments. Yet, non-randomized studies frequently face s…
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication
Méabh MacMahon, Woochang Hwang, Soorin Yim +7
Drug repurposing provides an opportunity to redeploy drugs, which ideally are already approved for use in humans, for the treatment of other diseases. For example, the repurposing…
Sample Noise Impact on Active Learning
Alexandre Abraham, Léo Dreyfus-Schmidt
This work explores the effect of noisy sample selection in active learning strategies. We show on both synthetic problems and real-life use-cases that knowledge of the sample noise…
Rebuilding Trust in Active Learning with Actionable Metrics
Alexandre Abraham, Léo Dreyfus-Schmidt
Active Learning (AL) is an active domain of research, but is seldom used in the industry despite the pressing needs. This is in part due to a misalignment of objectives, while rese…
Offline A/B testing for Recommender Systems
Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec +2
Before A/B testing online a new version of a recommender system, it is usual to perform some offline evaluations on historical data. We focus on evaluation methods that compute an…
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
Alexandre Abraham, Michael Milham, Adriana Di Martino +4
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is…