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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018)

Vol. 2149: CEUR Workshop Proceedings. CEUR-WS, 2018.
Under the general editorship: Kuznetsov S., Napoli A., Rudolph S.
Chapters
MDL for FCA: is there a place for background knowledge?
Kuznetsov S., Makhalova T., Napoli A., , in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018)Vol. 2149: CEUR Workshop Proceedings.: CEUR-WS, 2018.
Added: September 6, 2018
Understanding Collaborative Filtering with Galois Connections
Ignatov D. I., Курситыс В. Д., , in: Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018)Vol. 2149: CEUR Workshop Proceedings.: CEUR-WS, 2018. P. 127–143.
In this paper, we explain how Galois connection and related operators between sets of users and items naturally arise in user-item data for forming neighbourhoods of a target user or item for Collabora- tive Filtering. We compare the properties of these operators and their ap- plicability in simple collaborative user-to-user and item-to-item setting. Moreover, we ...
Added: January 24, 2019
Language: English
Keywords: FCA (Formal Concept Analysis)Knowledge Discovery and Data Miningartificial intelligence
Publication based on the results of:
Well-interpretable Methods of Knowledge Discovery and Knowledge Representation (2018)
Proceedings of the International Workshop "What can FCA do for Artificial Intelligence?" (FCA4AI at IJCAI/ECAI 2018)
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