88 citations
- École Nationale Supérieure des Mines de ParisFR3 papers
- InsermFR3 papers
- Institut CurieFR3 papers
- Université Paris Sciences et LettresFR3 papers
- N. I. Lobachevsky State University of Nizhny NovgorodRU2 papers
- University of LeicesterGB2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Mathématiques Appliquées à Paris 5FR1 paper
- National Institute for Public Health and the EnvironmentNL1 paper
3 papers
cs.LG2022★ 21 cited
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes, Jonathan Bac, Aziz Fouché +3
Domain adaptation is a popular paradigm in modern machine learning which aims at tackling the problem of divergence (or shift) between the labeled training and validation datasets…
stat.ME2022
Graph-Based Spatial Segmentation of Health-Related Areal Data
Vivien Goepp, Jan van de Kassteele
Smoothing is often used to improve the readability and interpretability of noisy areal data. However there are many instances where the underlying quantity is discontinuous. In thi…
cs.LG2021★ 88 cited
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban +2
Dealing with uncertainty in applications of machine learning to real-life data critically depends on the knowledge of intrinsic dimensionality (ID). A number of methods have been s…