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  • Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers
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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers

Vol. 2086: Communications in Computer and Information Science. Springer, 2024.
Kuznetsov S.
Academic editor: Ignatov D. I.

This book constitutes the post-conference proceedings of the 25th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2023, held in Moscow, Russia, during 24-27 October 2023.


The 21 papers presented here were carefully reviewed and selected from 75 submissions. These papers are organized in the following topical sections: Data Models and Knowledge Graphs; Databases in Data Intensive Domains; Machine learning methods and applications; Data Analysis in Astronomy & Information extraction from text. Papers from keynote talks have also been included in this book.

 

Chapters
Global cognitive graph properties dynamics of hippocampal formation
Sorokin K., Andrey Z., Levin A. et al., , in: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected PapersVol. 2086: Communications in Computer and Information Science.: Springer, 2024. P. 77–87.
Added: September 13, 2024
AWARE: Alert Watcher and Astronomical Rapid Explorer
Панков Н. С., Pozanenko A. S., Belkin S. et al., , in: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected PapersVol. 2086: Communications in Computer and Information Science.: Springer, 2024. P. 225–245.
We present the software aware for automatic scheduling the observations with the ground based network of optical telescopes GRB-IKI-FuN (extendable on other facilities). It was designed to provide the optimal coverage of large uncertainty contours of LIGO/Virgo/KAGRA (LVK) gravitational wave events, and gamma-ray bursts (GRBs), detected by space missions, which is crucial for fast look-up ...
Added: October 9, 2024
Interactive Research Toolbox for Chemical Compounds Analysis Based on Well-interpretable ML Methods
Neznanov A., Kuznetsov S., Glushko A. et al., , in: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected PapersVol. 2086: Communications in Computer and Information Science.: Springer, 2024.
This paper provides an overview of tool for computational experiments, which are utilized in the realm of compound property analysis. Moreover, it outlines the initial outcomes of developing a novel research toolbox system that concentrates on exploring the interpretability and explainability of machine learning outcomes. The proposed solution is based on open-source tools and offers a convenient approach to address specific ...
Added: October 30, 2024
Classification of Long Gamma-Ray Transients from INTEGRAL Data Using Machine Learning Approach
Mozgunov G., Pozanenko A. S., Minaev P. Y. et al., , in: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected PapersVol. 2086: Communications in Computer and Information Science.: Springer, 2024. P. 215–224.
Added: January 31, 2025
Research target: Computer Science
Language: English
DOI
Text on another site
Keywords: data analyticsExperimentationModeling and simulation Data mining
Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected Papers
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