4 citations · 5 across the 5 of their papers we have counts for
6 papers
On Ranking-based Tests of Independence
Myrto Limnios, Stéphan Clémençon
In this paper we develop a novel nonparametric framework to test the independence of two random variables and with unknown respective marginals an…
A Bipartite Ranking Approach to the Two-Sample Problem
Stephan Clémençon, Myrto Limnios, Nicolas Vayatis
The two-sample problem, which consists in testing whether independent samples on are drawn from the same (unknown) distribution, finds applications in many areas. It…
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
Myrto Limnios, Nathan Noiry, Stéphan Clémençon
The ability to collect and store ever more massive databases has been accompanied by the need to process them efficiently. In many cases, most observations have the same behavior,…
Epidemic Models for COVID-19 during the First Wave from February to May 2020: a Methodological Review
Marie Garin, Myrto Limnios, Alice Nicolaï +12
We review epidemiological models for the propagation of the COVID-19 pandemic during the early months of the outbreak: from February to May 2020. The aim is to propose a methodolog…
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
Stéphan Clémençon, Myrto Limnios, Nicolas Vayatis
The ROC curve is the gold standard for measuring the performance of a test/scoring statistic regarding its capacity to discriminate between two statistical populations in a wide va…
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
Ioannis Bargiotas, Argyris Kalogeratos, Myrto Limnios +3
Falling in Parkinsonian syndromes (PS) is associated with postural instability and consists a common cause of disability among PS patients. Current posturographic practices record…