Zobrazeno 1 - 10
of 1 853
pro vyhledávání: '"Zinovyev A"'
Publikováno v:
Moravian Geographical Reports, Vol 26, Iss 3, Pp 210-219 (2018)
Since the beginning of the 1990s, Soviet urban residential communities have experienced rapid inflows of new urban functions. In this research project, two post-Soviet urban areas - Vilnius and St. Petersburg - are examined to indicate contrasting de
Externí odkaz:
https://doaj.org/article/a78fa0317c554857bf200440119e7fdf
Autor:
Kastalskiy, Innokentiy, Zinovyev, Andrei, Mirkes, Evgeny, Kazantsev, Victor, Gorban, Alexander N.
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation, Volume 132, May 2024, 107906
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 profound variations among different countries in terms of their adaptive dyna
Externí odkaz:
http://arxiv.org/abs/2311.13917
Autor:
Mirkes, Evgeny M, Bac, Jonathan, Fouché, Aziz, Stasenko, Sergey V., Zinovyev, Andrei, Gorban, Alexander N.
Publikováno v:
Entropy, 25(1), 33, 2023
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 (source domain) and a potentially large unlabeled dataset (target doma
Externí odkaz:
http://arxiv.org/abs/2208.13290
Autor:
Chervov, Alexander, Zinovyev, Andrei
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 technologies give an opportunity to analyse the cell cycle transcripto
Externí odkaz:
http://arxiv.org/abs/2208.05229
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1011620 (2024)
Boolean networks are largely employed to model the qualitative dynamics of cell fate processes by describing the change of binary activation states of genes and transcription factors with time. Being able to bridge such qualitative states with quanti
Externí odkaz:
https://doaj.org/article/eb908507707547a0a43d0d740a731e61
Autor:
Zhou, Qinghua, Gorban, Alexander N., Mirkes, Evgeny M., Bac, Jonathan, Zinovyev, Andrei, Tyukin, Ivan Y.
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 there may exist correlations between the accuracies of trained networks
Externí odkaz:
http://arxiv.org/abs/2203.16687
Autor:
Matthieu Najm, Matthieu Cornet, Luca Albergante, Andrei Zinovyev, Isabelle Sermet-Gaudelus, Véronique Stoven, Laurence Calzone, Loredana Martignetti
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract The efficiency of analyzing high-throughput data in systems biology has been demonstrated in numerous studies, where molecular data, such as transcriptomics and proteomics, offers great opportunities for understanding the complexity of biolo
Externí odkaz:
https://doaj.org/article/92b7fdab27da4a7bb1b34335483cdc4d
The resonant mode approximation of the scattering matrix is considered for calculating the optical properties of multilayered periodic structures within the formalism of the Fourier-modal method for two diffraction thresholds in close proximity of th
Externí odkaz:
http://arxiv.org/abs/2112.05014
Publikováno v:
Entropy, 2021, 23(10), 1368
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 suggested for the purpose of estimating ID, but no standard package to
Externí odkaz:
http://arxiv.org/abs/2109.02596
Autor:
Kogolev, Dmitry, Kurtsevich, Ekaterina, Fatkullin, Maxim, Zinovyev, Alexey, Gorbunova, Alina, Rodriguez, Raul D., Guselnikova, Olga, Boukherroub, Rabah, Postnikov, Pavel S.
Publikováno v:
In Materials Today Communications June 2024 39