Zobrazeno 1 - 10
of 8 166
pro vyhledávání: '"ZAYTSEV, A"'
Publikováno v:
Физическое воспитание и студенческий спорт, Vol 2, Iss 4, Pp 339-345 (2023)
On the basis of a retrospective analysis, the description of formation stages of physical education of students of higher educational institutions is given. It is shown that the system of physical education of students of higher educational instituti
Externí odkaz:
https://doaj.org/article/309e078af7834b52b483d9af685ed3e5
Publikováno v:
Физическое воспитание и студенческий спорт, Vol 2, Iss 1, Pp 35-41 (2023)
The article presents the results of student sports development monitoring in the Russian Federation. The main trends that determine the vector of development of this direction, including those within the framework of the implementation of the discipl
Externí odkaz:
https://doaj.org/article/2d5056e0cc174323a69d86be272150cc
Change point detection (CPD) methods aim to identify abrupt shifts in the distribution of input data streams. Accurate estimators for this task are crucial across various real-world scenarios. Yet, traditional unsupervised CPD techniques face signifi
Externí odkaz:
http://arxiv.org/abs/2410.13637
Collusion is a complex phenomenon in which companies secretly collaborate to engage in fraudulent practices. This paper presents an innovative methodology for detecting and predicting collusion patterns in different national markets using neural netw
Externí odkaz:
http://arxiv.org/abs/2410.07091
We give new formulas for reconstructions from band-limited Hankel transform of integer or half-integer order. Our formulas rely on the PSWF-Radon approach to super-resolution in multidimensional Fourier analysis. This approach consists of combining t
Externí odkaz:
http://arxiv.org/abs/2409.17409
Self-energy and vacuum polarization effects in quantum electrodynamics (QED) are calculated for the supercritical Coulomb field, where Dirac energy levels become embedded in the negative-energy continuum. In this regime, the quantum vacuum becomes un
Externí odkaz:
http://arxiv.org/abs/2409.08121
Autor:
Erlygin, Leonid, Zaytsev, Alexey
Accurately estimating image quality and model robustness improvement are critical challenges in unconstrained face recognition, which can be addressed through uncertainty estimation via probabilistic face embeddings. Previous research mainly focused
Externí odkaz:
http://arxiv.org/abs/2408.14229
Autor:
Yugay, Aleksandr, Zaytsev, Alexey
High-quality representation of transactional sequences is vital for modern banking applications, including risk management, churn prediction, and personalized customer offers. Different tasks require distinct representation properties: local tasks be
Externí odkaz:
http://arxiv.org/abs/2408.09995
Autor:
Kuleshov, Ilya, Boeva, Galina, Zhuzhel, Vladislav, Romanenkova, Evgenia, Vorsin, Evgeni, Zaytsev, Alexey
Observation of the underlying actors that generate event sequences reveals that they often evolve continuously. Most modern methods, however, tend to model such processes through at most piecewise-continuous trajectories. To address this, we adopt a
Externí odkaz:
http://arxiv.org/abs/2408.08055
Knowledge Graph Embedding (KGE) is a popular approach, which aims to represent entities and relations of a knowledge graph in latent spaces. Their representations are known as embeddings. To measure the plausibility of triplets, score functions are d
Externí odkaz:
http://arxiv.org/abs/2407.16326