| 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 | 8 | 2021 |
| 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 | 7 | 2021 |
| 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 | 4 | 2021 |
| 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 | 4 | 2020 |
| 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 | 3 | 2021 |
| Rank processes and statistical applications in high dimension M Limnios université Paris-Saclay, 2022 | 1 | 2022 |
| 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 | 1 | 2021 |
| Revealing posturographic features associated with the risk of falling in patients with parkinsonian syndromes via machine learning I Bargiotas, A Kalogeratos, M Limnios, PP Vidal, D Ricard, N Vayatis arXiv preprint arXiv:1907.06614, 2019 | 1 | 2019 |
| A Bipartite Ranking Approach to the Two-Sample Problem S Clémençon, M Limnios, N Vayatis arXiv preprint arXiv:2302.03592, 2023 | | 2023 |
Nicolas VayatisProfesseur des universités, ENS Paris-SaclayAdresse e-mail validée de ens-paris-saclay.fr
