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  • РАЗРАБОТКА DSM-ПЛАТФОРМЫ: СРЕДСТВА ТРАНСФОРМАЦИИ МОДЕЛЕЙ ВИДА «МОДЕЛЬ-ТЕКСТ»
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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 DSM-ПЛАТФОРМЫ: СРЕДСТВА ТРАНСФОРМАЦИИ МОДЕЛЕЙ ВИДА «МОДЕЛЬ-ТЕКСТ»

С. 124–134.
Проскуряков К. А., Lyadova L. N.

The goal of the study is to approval the approach to creating tools for generating code from visual models for a DSM platform based on knowledge and metamodeling. The basis of the solution is a multifaceted ontology, describing languages, designed to solve various tasks of designing and analysing systems, and the domains in which users solve these tasks. Code generation is implemented based on transformation rules that users develop using the constructor. The ontology structure and the transformation module structure, the application user interface and examples of languages and transformation rules representing in the ontology are described.

Language: Russian
Full text
Keywords: метамоделированиепредметно-ориентированные языкиmetamodelingпредметно-ориентированное моделированиеDSM-платформаDSLтрансформация моделейmodel transformationsdomain specific modelingDSLDSM platformcode generationгенерация кодаmultifaceted ontologyмногоаспектная онтологияdomain specific languages

In book

ТЕХНОЛОГИИ РАЗРАБОТКИ ИНСТРУМЕНТАЛЬНЫХ СРЕДСТВ (ТРИС-2023): материалы конференции
Таганрог: Издательство ЮФУ, 2023.
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