204 citations · 1.3k across the 41 of their papers we have counts for
43 papers
Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics
Innokentiy Kastalskiy, Andrei Zinovyev, Evgeny Mirkes +2
In the context of natural disasters, human responses inevitably intertwine with natural factors. The COVID-19 pandemic, as a significant stress factor, has brought to light profoun…
Computational challenges of cell cycle analysis using single cell transcriptomics
Alexander Chervov, Andrei Zinovyev
The cell cycle is one of the most fundamental biological processes important for understanding normal physiology and various pathologies such as cancer. Single cell RNA sequencing…
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…
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes +3
Finding best architectures of learning machines, such as deep neural networks, is a well-known technical and theoretical challenge. Recent work by Mellor et al (2021) showed that t…
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…
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods
N. Rybnikova, B. A. Portnov, E. M. Mirkes +3
Artificial light-at-night (ALAN), emitted from the ground and visible from space, marks human presence on Earth. Since the launch of the Suomi National Polar Partnership satellite…