| 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 | 14 | 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 |
| 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 | 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 |
| A bipartite ranking approach to the two-sample problem S Clémençon, M Limnios, N Vayatis arXiv preprint arXiv:2302.03592, 2023 | 2 | 2023 |
| 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 |
| 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 |
Nicolas VayatisFull Professor, Centre Borelli, Department of Mathematics, ENS Paris-Saclay在 ens-paris-saclay.fr 的电子邮件经过验证
