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Subject
News
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.

 

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International Joint Conference on Rough Sets, Springer, Cham.

Springer, 2017.
Родин И. В., Mirkin B.
We present a new method for cluster analysis that nds a composite \super- cluster" consisting of two non-overlapping parts: a tight core and a less connected shell. We expand this approach to data that changes over time by assuming that the core is unchangeable, while the shell depends on the time period. We de ne a data recovery approximation model of a dynamic supercluster, and present a suboptimal algorithm for nding superclusters.
Chapters
Sequential Three-Way Decisions in Efficient Classification of Piecewise Stationary Speech Signals
Savchenko A., , in: International Joint Conference on Rough Sets, Springer, Cham.: Springer, 2017. P. 264–277.
In this paper it is proposed to improve performance of the automatic speech recognition by using sequential three-way decisions. At first, the largest piecewise quasi-stationary segments are detected in the speech signal. Every segment is classified using the maximum a-posteriori (MAP) method implemented with the Kullback-Leibler minimum information discrimination principle. The three-way decisions are taken ...
Added: October 26, 2018
Priority areas: IT and mathematics
Language: English
Text on another site
Keywords: clusterdynamical cluster
International Joint Conference on Rough Sets, Springer, Cham.
Similar publications
Natural hazard database from Internet publications: text mining with a large language model
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Ising models on the hydrogen peroxide and other lattices
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Using predefined vector systems to speed up neural network multimillion class classification
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Implementing Transport Coding in OMNeT++ for Message Delay Reduction
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer:  original packets are encoded into  coded packets, and the message is reconstructed after the first  successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning
Чернышов Д. П., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Diffusion on language model embeddings for protein sequence generation
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
A Feature Engineering Framework for Computer Vision Based on Topological Data Analysis
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
On the construction of frieze patterns from partitions of convex polygons by nonintersecting diagonals
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon by not intersecting diagonals. ...
Added: September 17, 2025
On one property of Catalan numbers
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 20584.
We give a new proof of the following statement: the Catalan number C_n is divisible by n+2, if n is odd and n<> 3k+1. ...
Added: September 9, 2025
Tunnel Clustering Method
F. T. Aleskerov, A. L. Myachin, V. I. Yakuba, Doklady Mathematics 2024 Vol. 110 No. 3 P. 474–479
We propose a novel method for rapid pattern analysis of high-dimensional numerical data, termed tunnel clustering. The main advantages of the method are its relatively low computational complexity, endogenous determination of cluster composition and number, and a high degree of interpretability of final results. We present descriptions of three different variations: one with fixed hyperparameters, ...
Added: March 3, 2025
Функционирование туристских протокластеров Пермского края в условиях пандемии и санкционного давления
Koshcheev D., Isopeskul O., Географический вестник 2022 № 4(63) С. 115–134
Abstract: COVID-19 pandemic (2020-2022) and following sanction crisis (since February 2022) provided a new background for tourism cluster activity. The background mentioned has formed a basis for new set of tourism cluster support measures. The problem mentioned tends to be actual for Perm krai, which has launched a discussion on region tourism potential support in ...
Added: December 30, 2022
ОЦЕНКА ЭФФЕКТА КЛАСТЕРНОГО АКСЕЛЕРАТОРА В СФЕРЕ ДЕРЕВООБРАБОТКИ В РЕГИОНАХ РФ
Koshcheev D., В кн.: ФОРМИРОВАНИЕ И РАЗВИТИЕ КЛАСТЕРОВ В ИННОВАЦИОННОЙ ЭКОНОМИКЕ.: СамДУ, 2022. С. 681–691.
This paper presents a comparative analysis of the development of the cluster accelerator effect in the woodworking sector in the constituent entities of the Russian Federation. Using the rating method in the study, the groups of regions were identified and described by the parameter of the level of development of the system of cluster accelerators. ...
Added: May 21, 2022
Russian Regions on the Way to Innovations: Opportunities for International Cooperation in BRICS Member Countries
Kutsenko E., Boos V., Ismagulova S., , in: BRICS Comprehensive Innovation Competitiveness Report 2020.: Scientific and technical documentation press, 2021. P. 192–221.
The purpose of the article is to consider innovation development in Russian regions and suggest certain opportunities for BRICS member countries. Our findings implicate that for many regions in Russia, where innovation areas are absent, taking part in interregional cooperation may be a good chance to enforce their innovative performance. Our results also demonstrate that ...
Added: September 13, 2021
Алгоритм определения принадлежности кластера файлу формата JPEG с использованием сигнатур
Rogacheva O., Промышленные АСУ и контроллеры 2021 № 2 С. 41–50
Целью работы является исследование методов идентификации отдельно взятых фрагментов компьютерных файлов и разработка процедуры восстановления фрагментированных файлов формата JPEG. Разработанный метод позволяет определить принадлежность фрагмента файла к указанному формату и тем самым выявить лишние (чужеродные) фрагменты в файле. Данный метод может применяться, в том числе, и в задачах восстановления файлов данного формата. Необходимость восстановления данных ...
Added: July 19, 2021
Synthesis of Cobalt‐Iron Chalcogenide Clusters as Precursors for Catalysts of Oxygen Electroreduction in Alkali Media
Shapovalov S., Skabitsky I., Mayorova N. et al., European Journal of Inorganic Chemistry 2020 Vol. 2020 No. 21 P. 2055–2062
New cobalt‐iron chalcogenide clusters C5HMe4Co(CO)E2Fe2(CO)6 (E = Se, Te) were prepared and characterized by IR and NMR spectroscopy; their structures were determined by single‐crystal XRD. Catalysts consisting of nanoparticles of bimetallic chalcogenides of cobalt and iron deposited on highly dispersed carbon black Vulcan XC‐72 were made from the synthesized clusters. Structural characteristics of these catalysts were ...
Added: March 10, 2021
Биомедицинские кластеры в мире: факторы успеха и истории лучших
Islankina E., Kutsenko E., Филина Ф. Н. et al., НИУ ВШЭ, 2019.
The report presents the results of a global study of biomedical clusters. Its goal is to identify and analyse the most successful international practices of promoting biomedical clusters, in which the cooperation of universities, firms and clinics, combined with a developed infrastructure and public support measures led to a significant improvement in the quality of ...
Added: March 9, 2021
Являются ли кластеры эффективными для развития промышленных предприятий в странах с бывшей плановой экономикой?
Stepanova E., Kolchinskaya E., Limonov L. E., Пространственная экономика 2019 № 4 С. 126–148
Несмотря на популярность темы кластеров в мировой научной литературе, специфика в этом вопросе стран с бывшей плановой экономикой не является до конца раскрытой. В частности, мало эмпирических исследований кластеров России. Указанная специфика выражается в том, что предприятия в данных странах либо являются наследниками плановой системы, либо слишком молодыми в сравнении с аналогичными компаниями стран с ...
Added: November 18, 2020
Феномен индустриального кластера: системно-агломерационный подход
Koshcheev D., Tretyakova E., AlterEconomics (ранее - Журнал экономической теории) 2020 Т. 17 № 2 С. 451–465
In the context of increasing competition between territories at the regional level, the relevant question is a complex development of sectors and divers of the economic growth, one of which is industry. However, the cluster approach, traditionally used for this purpose, was criticized in 2010–2014 due to contradictions in the theory and methodology in its ...
Added: September 16, 2020
Паттерн-анализ и кластеризация в исследовании государственной состоятельности: "адаптивная оптика" для политической науки
Akhremenko A. S., Myachin A. L., Политическая наука 2019 № 3 С. 112–139
The central focus of this paper is a methodological one. Using the set of indicators of state capacity, we demonstrate a specific strategy for identifying sustainable structures in multidimensional data sets that reflect complex and ambiguous concepts of political science. A key feature of this strategy is the application of related, but significantly different technically, multidimensional methods – cluster ...
Added: December 9, 2019
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