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  • Разработка и апробация «Российской базы Нейтральных и Улыбающихся женских лиц (“RuNeS Faces”)»
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News
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.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Разработка и апробация «Российской базы Нейтральных и Улыбающихся женских лиц (“RuNeS Faces”)»

Экспериментальная психология. 2018. Т. 11. № 2. С. 34–49.
Морошкина Н. В., Иванчей И. И., Tikhonov R., Карпов А. Д., Овчинникова И. В.

The article presents a database of women’s faces for research in the field of social perception. Each of 55 models was photographed full-face under four conditions: with a neutral or smiling face with hair up or down. The database includes the results of facial morphometry (relative positions of homologous points), expert ratings of appearance style, scores of perceived intelligence and attractiveness. The peculiarity of the database is that, unlike the others, we preserved the natural style featured on the models: clothes, jewelry, and makeup. The database was approbated in the study of physiognomic and appearance style predictors of perceived intelligence and attractiveness. It expands the variety of stimulus images available for researchers and can be used in different studies of social perception.

Research target: Psychology
Language: Russian
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Text on another site
Keywords: social perceptionсоциальная перцепцияface perceptionattractivenessвосприятие лицаfacial morphometryimage databaseperceived intelligenceморфометрия лицабаза фотоизображенийпривлекательностьвоспринимаемый интеллект
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