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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland

Helsinki : IEEE, 2019.
Academic editor: S. Balandin

Proceedings of the 25th Conference of Open Innovations Association FRUCT (Finnish-Russian University Cooperation in Telecommunications).

Chapters
Full-scale personality prediction on vkontakte social network and its applications
Titov S., Novikov P., Mararitsa L., , in: Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland.: Helsinki: IEEE, 2019. P. 317–323.
In this work, we present our prediction results for 17 psychological scales based on online data from the Russian social network VKontakte. As part of this project, we predicted a variety of psychological traits, starting with personality traits from the OCEAN inventory and ending with Raven's Matrices. We then introduced 2 models based on the ...
Added: November 18, 2020
Semantic Coherence in Schizophrenia in Russian Written Texts
Panicheva P., Litvinova T., , in: Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland.: Helsinki: IEEE, 2019. P. 241–249.
Schizophrenia is widely known to manifest in language disturbance. Namely, speech incoherence, tangentiality, derailment are indicative of thought disorder characteristic of schizophrenia. Recent advances in distributional semantics have made it possible to measure coherence in text in a unified and objective manner. It has been shown that semantic coherence measures based on distributional semantic models ...
Added: October 29, 2020
Pragmatic Markers of Russian Everyday Speech: the Revised Typology and Corpus-Based Study
Богданова-Бегларян Н. В., Blinova O. V., Sherstinova T. et al., , in: Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland.: Helsinki: IEEE, 2019. P. 57–63.
Pragmatic markers (PMs) mainly have an influence on a pragmatic aspect of communication and are mostly devoid of their own referential meaning. These markers are indispensable elements of oral communication in any language. The article suggests a typology of pragmatic markers for Russian everyday speech that includes 10 basic types. The frequency study for the ...
Added: October 31, 2019
Sentiment Analysis of Posts and Comments in the Accounts of Russian Politicians on the Social Network
Svetlov K., Platonov K., , in: Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland.: Helsinki: IEEE, 2019.
Added: September 23, 2021
Priority areas: humanitarian IT and mathematics engineering science
Language: English
Keywords: computational linguisticstelecommunications
Proceedings of the 25th Conference of Open Innovations Association FRUCT, University of Helsinki, Helsinki, Finland
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