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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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EC '20: Proceedings of the 21st ACM Conference on Economics and Computation

NY : Association for Computing Machinery (ACM), 2020.
Biro P., Hartline J.

The papers in these Proceedings were presented at the Twenty First ACM Conference on Economics and Computation (EC'20), held between July 13 and 17, 2020. While the conference was originally scheduled to take place in Budapest, Hungary, it was moved to a virtual online format because of the COVID-19 worldwide pandemic.

The program committee selected 99 papers from among 491 submissions. Papers were invited in the following four tracks:

  • Theory
  • Applied Modeling
  • Artificial Intelligence and Computation
  • Empirics

Most papers were reviewed by at least three program committee members and one senior program committee member on the basis of significance, scientific novelty, technical quality, readability, and relevance to the conference. Following the tradition of recent iterations of the conference, the authors were asked to align their submission with one of the four tracks. The next table summarizes the number of submissions and the number of accepted papers for each track.

Chapters
Feasible Joint Posterior Beliefs
Arieli I., Babichenko Y., Sandomirskiy F. et al., , in: EC '20: Proceedings of the 21st ACM Conference on Economics and Computation.: NY: Association for Computing Machinery (ACM), 2020. P. 643–643.
Added: August 25, 2020
Research target: Economics and Management Computer Science Mathematics
Priority areas: economics IT and mathematics mathematics
Language: English
Text on another site
Keywords: theoryempiricsApplied ModelingArtificial Intelligence and Computation
EC '20: Proceedings of the 21st ACM Conference on Economics and Computation
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