Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning. - Ioannis Bargiotas; Argyris Kalogeratos; Myrto Limnios; Pierre-Paul Vidal; Damien Ricard; Nicolas Vayatis (CoRR, 2019)

Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications. - Ioannis Bargiotas; Argyris Kalogeratos; Myrto Limnios; Pierre-Paul Vidal; Damien Ricard; Nicolas Vayatis (SETN, 2020)

Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics. - Myrto Limnios; Nathan Noiry; Stéphan Clémençon (LIDTA@ECML/PKDD, 2021)

On Ranking-based Tests of Independence. - Myrto Limnios; Stéphan Clémençon (AISTATS, 2024)

Learning to rank anomalies: scalar performance criteria and maximization of rank statistics. - Myrto Limnios; Nathan Noiry; Stéphan Clémençon (Mach. Learn., 2024)