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Myrto Limnios
Myrto Limnios
Postdoc @ Statistics and Probability Theory, MATH Department, University of Copenhagen
Adresse e-mail validée de math.ku.dk - Page d'accueil
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Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning
I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis
Plos one 16 (2), e0246790, 2021
122021
A langevin-based model with moving posturographic target to quantify postural control
A Nicolaï, M Limnios, A Trouvé, J Audiffren
IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 478-487, 2021
72021
Epidemic models for covid-19 during the first wave from February to May 2020: A methodological review
M Garin, M Limnios, A Nicolaï, I Bargiotas, O Boulant, S Chick, A Dib, ...
arXiv preprint arXiv:2109.01450, 2021
42021
Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
S Clémençon, M Limnios, N Vayatis
Electronic Journal of Statistics 15, 4659-4717, 2021
42021
Multivariate two-sample hypothesis testing through AUC maximization for biomedical applications
I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis
11th hellenic conference on artificial intelligence, 56-59, 2020
42020
A Bipartite Ranking Approach to the Two-Sample Problem
S Clémençon, M Limnios, N Vayatis
arXiv preprint arXiv:2302.03592, 2023
22023
Rank processes and statistical applications in high dimension
M Limnios
université Paris-Saclay, 2022
12022
Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics
M Limnios, N Noiry, S Clémençon
Proceedings of the Third International Workshop on Learning with Imbalanced …, 2021
12021
On Ranking-based Tests of Independence
M Limnios, S Clémençon
International Conference on Artificial Intelligence and Statistics, 577-585, 2024
2024
Nonparametric Modeling and Sparse Recovery of Event Processes with Applications to Conditional Local Independence Testing
M Limnios, NR Hansen
2023 IMS International Conference on Statistics and Data Science (ICSDS), 494, 2023
2023
Modèles épidémiques développés pour étudier la transmission du COVID-19 durant la première vague de février à mai 2020: une revue méthodologique
M Garin, M Limnios, A Nicolaï, T Evgeniou, I Bargiotas, O Boulant, S Chick, ...
2021
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