Fast nonparametric classification based on data depth T Lange, K Mosler, P Mozharovskyi
Statistical Papers 55, 49-69, 2014
143 2014 Nonparametric frontier analysis using Stata O Badunenko, P Mozharovskyi
The Stata Journal 16 (3), 550-589, 2016
111 2016 Flexible and context-specific AI explainability: a multidisciplinary approach V Beaudouin, I Bloch, D Bounie, S Clémençon, F d'Alché-Buc, J Eagan, ...
arXiv preprint arXiv:2003.07703, 2020
99 2020 Exact computation of the halfspace depth R Dyckerhoff, P Mozharovskyi
Computational Statistics & Data Analysis 98, 19-30, 2016
93 2016 Depth and depth-based classification with R package ddalpha O Pokotylo, P Mozharovskyi, R Dyckerhoff
Journal of Statistical Software 91, 1-46, 2019
81 2019 Functional isolation forest G Staerman, P Mozharovskyi, S Clémençon, F d’Alché-Buc
Asian Conference on Machine Learning, 332-347, 2019
77 2019 Choosing among notions of multivariate depth statistics K Mosler, P Mozharovskyi
Statistical Science 37 (3), 348-368, 2022
62 2022 Fast DD -classification of functional data K Mosler, P Mozharovskyi
Statistical Papers 58, 1055-1089, 2017
47 2017 Youthful and age‐related matreotypes predict drugs promoting longevity C Statzer, E Jongsma, SX Liu, A Dakhovnik, F Wandrey, P Mozharovskyi, ...
Aging Cell 20 (9), e13441, 2021
44 2021 A framework to learn with interpretation J Parekh, P Mozharovskyi, F d'Alché-Buc
Advances in Neural Information Processing Systems 34, 24273-24285, 2021
43 2021 Fast Computation of Tukey Trimmed Regions and Median in Dimension p > 2 X Liu, K Mosler, P Mozharovskyi
Journal of Computational and Graphical Statistics 28 (3), 682-697, 2019
42 2019 When ot meets mom: Robust estimation of wasserstein distance G Staerman, P Laforgue, P Mozharovskyi, F d’Alché-Buc
International Conference on Artificial Intelligence and Statistics, 136-144, 2021
34 2021 A pseudo-metric between probability distributions based on depth-trimmed regions G Staerman, P Mozharovskyi, P Colombo, S Clémençon, F d'Alché-Buc
arXiv preprint arXiv:2103.12711, 2021
33 2021 Classifying real-world data with the P Mozharovskyi, K Mosler, T Lange
Advances in Data Analysis and Classification 9, 287-314, 2015
29 2015 The area of the convex hull of sampled curves: a robust functional statistical depth measure G Staerman, P Mozharovskyi, S Clémen
International Conference on Artificial Intelligence and Statistics, 570-579, 2020
27 2020 Depth for curve data and applications PL De Micheaux, P Mozharovskyi, M Vimond
Journal of the American Statistical Association 116 (536), 1881-1897, 2021
25 2021 Approximate computation of projection depths R Dyckerhoff, P Mozharovskyi, S Nagy
Computational Statistics & Data Analysis 157, 107166, 2021
25 2021 Uniform convergence rates for the approximated halfspace and projection depth S Nagy, R Dyckerhoff, P Mozharovskyi
24 2020 Nonparametric imputation by data depth P Mozharovskyi, J Josse, F Husson
Journal of the American Statistical Association 115 (529), 241-253, 2020
23 2020 Listen to interpret: Post-hoc interpretability for audio networks with nmf J Parekh, S Parekh, P Mozharovskyi, F d'Alché-Buc, G Richard
Advances in Neural Information Processing Systems 35, 35270-35283, 2022
22 2022 
Florence d'Alché-BucTélécom Paris, Institut Polytechnique de ParisAdresse e-mail validée de telecom-paris.fr
