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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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DATA ANALYTICS 2014, The Third International Conference on Data Analytics

2014.

Full texts of third international conference on data analytics are presented.

Chapters
Statistical Uncertainty of Market Network Structures
Koldanov P., Pardalos P. M., Zamaraev V. A., , in: DATA ANALYTICS 2014, The Third International Conference on Data Analytics.: [б.и.], 2014. P. 91–94.
A common network representation of the stock market is based on correlations of time series of return fluctuations. It is well known that financial time series have a stochastic nature. Therefore there is uncertainty in inference about filtered structures in market network. Thus market network analysis need to be complemented by estimation of uncertainty of the ...
Added: October 13, 2014
Comparative Analysis of Data Structures for Approximate Nearest Neighbor Search
Ponomarenko A., Avrelin N., Naidan B. et al., , in: DATA ANALYTICS 2014, The Third International Conference on Data Analytics.: [б.и.], 2014. P. 125–130.
Similarity searching has a vast range of applications in various fields of computer science. Many methods have been proposed for exact search, but they all suffer from the curse of dimensionality and are, thus, not applicable to high dimensional spaces. Approximate search methods are considerably more efficient in high dimensional spaces. Unfortunately, there are few ...
Added: October 15, 2014
Research target: Mathematics Economics and Management Computer Science
Priority areas: economics IT and mathematics
Language: English
Keywords: discriminant functionbig datadata patterns analysismeasure of similarityMarket network analysis
DATA ANALYTICS 2014, The Third International Conference on Data Analytics
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In this paper, we revisit the classic problem of a wave field on a sloping beach of an arbitrary angle and propose a general approach that allows the computation of regular solutions of the problem regardless of the angle. We use the Mellin-transform technique, reducing the problem to singular integral equations with fixed-point singularities of ...
Added: October 12, 2026
JavaCapsule: Итеративная генерация и отладка Java-кода на основе структурированной обратной связи
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Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...
Added: October 12, 2026
Proceedings of the 34th IUPAP Conference on Computational Physics: CCP2023, August 4-8, Kobe, Japan
Singapore: Springer Singapore, 2026.
This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...
Added: October 12, 2026
Дифференциальная геометрия и топология. Курс лекций
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Влияние санкционных шоков на техническую эффективность сельскохозяйственных предприятий: опыт молочного животноводства региона
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This paper estimates the impact of the international sanctions of 2014 and 2022, as well as the food embargo, on the technical efficiency of agricultural enterprises. The assessment was carried out using panel data from agricultural enterprises specializing in dairy production in the Leningrad Region for the period 2010–2023, employing stochastic frontier analysis. It is ...
Added: October 11, 2026
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Added: October 11, 2026
Economic Globalization and Environmental Outcomes in Heterogeneous Panels: Composition, Technique, and Distributional Evidence from Shanghai Cooperation Organization Economies
Fudan Journal of the Humanities and Social Sciences 2026
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Added: October 10, 2026
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Added: October 10, 2026
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The matrix profile (MP) quickly became one of the most important time series preprocessing methods when it was introduced in 2016, facilitating the solution of a wide range of time series analysis problems, in particular anomaly and pattern detection problems. The high significance has led to the emergence of various tools for MP calculating, but ...
Added: October 9, 2026
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The Collection of Olympiad Problems (COP) in Probability Theory and Mathematical Statistics (PTMS) is offered as a teaching aid primarily for university students and faculty as a developmental supplementary resource, expanding the range of problems to be solved in lectures, seminars, and out-of-class independent work with students in various formats, including (as the title suggests) ...
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Nikulina Y., Jamali Jaghdani T., Götz L. et al., / Series "Working Papers". 2026.
The impact of state subsidies on Russia's post-Soviet dairy output remains controversial; this study provides an empirical analysis of that relationship. Using an unbalanced panel dataset of 123 dairy enterprises in the Leningrad Region spanning the period from 2010 to 2023, we employ stochastic frontier analysis to assess these relationships. The results indicate that subsidies ...
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Added: September 28, 2026
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We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...
Added: September 28, 2026
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Usvitskiy A., Mizyakov V., / Series "SSRN Working Paper Series". 2026.
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Власов С. А., Nevalennyi M., Сафиулин Р. Р. et al., / Банк России. Серия Аналитическая записка "Материалы Банка России". 2026.
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