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  • VI Московская международная конференция по исследованию операций (ORM2010): Москва, 19-23 октября 2010 г.: Труды
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Subject
News
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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VI Московская международная конференция по исследованию операций (ORM2010): Москва, 19-23 октября 2010 г.: Труды

M. : Max press, 2010.
Editor-in-chief: П. С. Краснощеков, А. А. Васин
Chapters
Модели срочной структуры процентных ставок: соотношение безарбитражности и реалистичности
Smirnov S. N., Lapshin V. A., В кн.: VI Московская международная конференция по исследованию операций (ORM2010): Москва, 19-23 октября 2010 г.: Труды.: М.: МАКС Пресс, 2010. С. 509–511.
Added: March 15, 2013
Модельное описание банковской системы
Andreev M., Pilnik N., Pospelov I. G., В кн.: VI Московская международная конференция по исследованию операций (ORM2010): Москва, 19-23 октября 2010 г.: Труды.: М.: МАКС Пресс, 2010.
Added: August 17, 2015
Research target: Mathematics Economics and Management Computer Science
Priority areas: economics IT and mathematics
Language: Russian
Full text
Keywords: исследование операций
VI Московская международная конференция по исследованию операций (ORM2010): Москва, 19-23 октября 2010 г.: Труды
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ФАКТОРЫ ИНВЕСТИЦИОННОЙ АКТИВНОСТИ В РОССИЙСКОЙ ЭКОНОМИКЕ: ВЫВОДЫ 2022 Г
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ИМПОРТОЗАВИСИМОСТЬ И ИМПОРТОЗАМЕЩЕНИЕ В РОССИИ: ОЦЕНКА НА ОСНОВЕ ТАБЛИЦ РЕСУРСОВ И ИСПОЛЬЗОВАНИЯ
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В статье представлен метод рефакторинга исходного кода на основе интеграции большой языковой модели (LLM) и расширенной UML-модели программного кода. Предложенный подход позволяет выявлять проблемные участки кода с использованием функций тревожности и структурных метрик классов, а затем выполнять автоматизированный рефакторинг. Ключевой особенностью метода является использование LLM для генерации формальных спецификаций на языке OCL (Object Constraint Language), ...
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Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
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We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Covariate-Balanced Weighted Stacked Difference-in-Differences
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This paper proposes Covariate-Balanced Weighted Stacked Difference-in-Differences (CBWSDID), a design-based extension of weighted stacked DID for settings in which untreated trends may be conditionally rather than unconditionally parallel. The estimator separates within-subexperiment design adjustment from across-subexperiment aggregation: matching or weighting improves treated-control comparability within each stacked subexperiment, while the corrective stacked weights of Wing et ...
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Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
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Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
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Up and Down the Mount Stupid: An Emotional Explanation of the Dunning-Kruger Effect
Vorchik A., Мамышев М. А., / Series Social Science Research Network "Social Science Research Network". 2025.
In this paper, we develop a formal mathematical model aimed to explain the Dunning-Kruger effect that beginners systematically overestimate their own competence in various fields of knowledge and activity. We argue that the Dunning-Kruger effect arises from the emotional nature of confidence combined with unknown unknowns that it simply can not take into account due ...
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