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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
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.

 

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Математические методы распознавания образов: Тезисы докладов 19-й Всероссийской конференции с международным участием

M. : Российская академия наук, 2019.
Filipenkov N., Петрова М. А., Мехедов И. С.

The rapid growth of geospatial data in the world enables the implementation of
data mining techniques to mine the patterns in geospatial data. In this paper the
authors have applied the algorithms that were previously used for mining slightly
changing patterns in time series to geospatial data of the real estate market. So the
paper discusses mining the patterns that slightly change in space (instead of time).
The paper uses data on the real estate market. The predicted variable (square
meter price) is analyzed respective to the district, distance to the city center, stations
of public transport, highways, shops, sports, entertainment, healthcare, education
centers, offices, parks etc. The proposed approach for mining slightly changing
patterns in geospatial data is highly applicable to any data with geo-tag, e.g. space
image recognition, geo-targeted marketing etc.

Priority areas: IT and mathematics mathematics
Language: Russian
Full text
Keywords: data miningинтеллектуальный анализ данныхгеоинформатикаgeospatial dataжилая недвижимостьproperty price
Математические методы распознавания образов: Тезисы докладов 19-й Всероссийской конференции с международным участием
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