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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 1. Advances in Intelligent Systems and Computing

Vol. 1228. Springer, 2020.
Chapters
Time Series Analysis of Financial Statements for Default Modelling
Romanyuk K., Ichkitidze Y., , in: Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 1. Advances in Intelligent Systems and ComputingVol. 1228.: Springer, 2020. P. 281–286.
Credit rating agencies evaluate corporate risks and assign ratings to companies. Each rating grade corresponds to certain boundaries of default probability. KMV is a popular model to assess the default probability of a company. In this paper, a method to predict the default probability of a company is proposed. This method is based on the ...
Added: November 28, 2020
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: компьютерные науки computer science
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 1. Advances in Intelligent Systems and Computing
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