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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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Теоретико-вероятностная модель полутонового изображения для задачи распознавания образов без учителя на основе метода направленного перебора

Компьютерная оптика. 2011. Т. 35. № 3. С. 385–394.
Savchenko A.
Priority areas: mathematics engineering science
Language: Russian
Full text
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Keywords: автоматическое распознавание изображенийинформационное рассогласование Кульбака-Лейблераметод направленного переборасамообучение
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The paper is devoted to the automatic assessment of phoneme pronunciation quality for computer assisted language learning systems. The novel pronunciation training algorithm is proposed. In this algorithm, at first, a student has to achieve a stable pronunciation of all sounds by using the phonetic database from ideal speaker. The second, novel, stage of our ...
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Added: August 29, 2017
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