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Subject
News
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.
September 21, 2026
Researchers Develop Methodology to Assess the Quality of Legal Representation in Criminal Proceedings
Having a good defence attorney in criminal proceedings can largely determine whether a defendant retains their freedom, health and good name. Researchers at HSE University propose a method for predicting an attorney’s performance based on the outcomes of their previous cases. The methodology takes into account the severity of the charges, the complexity of the cases, and the most likely outcome, drawing on judicial statistics.
September 21, 2026
Algebra, Geometry, and AI: Russian and Vietnamese Mathematicians Discuss Current Research
A delegation of scientists from Hanoi visited the HSE Faculty of Computer Science and then took part in a Russian-Vietnamese conference in St Petersburg. The events were part of the three-year project ‘Flexibility and Computational Methods.’ Over the course of the project, the researchers have prepared joint publications and obtained new mathematical results.

 

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Новые информационные технологии в автоматизированных системах: материалы семнадцатого научно-практического семинара

Вып. 17. M. : -, 2014.
Leading author: Tumkovskiy S.
Under the general editorship: В. А. Галактионов
Chapters
Применение метода дерева решений при имитационных экспериментах с продукционной моделью системы
Podlesnykh V. G., В кн.: Новые информационные технологии в автоматизированных системах: материалы семнадцатого научно-практического семинараВып. 17.: М.: Институт прикладной математики им. М.В. Келдыша РАН, 2014.
В работе рассматривается методика и комплекс программ для имитационного моделирования систем с использованием продукционной парадигмы программирования на языке CLIPS. Рассмотрены вопросы построения и автоматической реализации в виде командного файла сокращенных планов имитационых экспериментов, обеспечивающих адекватность моделей классификации примеров с помощью деревьев решений по выбранному целевому атрибуту. Это позволяет просто решать задачи типа "что сделать, чтобы..." ...
Added: May 19, 2014
Продукционная парадигма моделирования сложных объектов и систем
Podlesnykh V. G., В кн.: Новые информационные технологии в автоматизированных системах: материалы семнадцатого научно-практического семинараВып. 17.: М.: Институт прикладной математики им. М.В. Келдыша РАН, 2014.
В работе обсуждаются особености продукционной парадигмы моделирования сложных объектов и систем наряду существующими парадигмами динамической, системной динамики, дискретно-событийной и агентной. В качестве языка и среды реализации используется CLIPS - C Language Integrated Production System. Продукционная парадигма может оказаться полезной для моделирования систем, функционирование которых включает в себя элементы разумного (интеллектуального) поведения с возможностью выбора лучшей ...
Added: May 19, 2014
Оптимизация систем обеспечения тепловых режимов радиоэлектронной аппаратуры
Kozhevnikov A., Громов И. Ю., В кн.: Новые информационные технологии в автоматизированных системах: материалы семнадцатого научно-практического семинараВып. 17.: М.: Институт прикладной математики им. М.В. Келдыша РАН, 2014. С. 532–537.
Describes a method of optimal parametric synthesis and structural systems to ensure thermal regimes of electronic equipment. The optimality criterion is the minimum cost design solutions. Small difference of system parameters is conducted on the most effective ways determined by the speed ratio change value and the objective function with variation of the parameter. ...
Added: October 25, 2014
Research target: Computer Science
Priority areas: business informatics
Language: Russian
Text on another site
Keywords: дерево решенийПродукционная системаПланирование экспериментовАдекватность моделиКлассификация примеров
Новые информационные технологии в автоматизированных системах: материалы семнадцатого научно-практического семинара
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Pattern Recognition. ICPR 2024 International Workshops and Challenges
Springer, Cham, 2025.
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Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Journal of Imaging 2025 Vol. 11 No. 6 P. 1–20
This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometric characteristics of microorganisms, including cell shape, colony organization, and dynamic behavior in unfixed microscopic scenes. A key advantage ...
Added: September 21, 2026
Lecture Notes in Artificial Intelligence
Springer, 2026.
Two volumes of the SPECOM 2026 proceedings contain a collection of submitted papers presented at SPECOM 2026, which were thoroughly reviewed by members of the Program Committee and additional reviewers consisting of almost 80 experts in the conference topic areas. In total, 65 regular full papers out of 99 submissions made via the EasyChair electronic ...
Added: September 20, 2026
Improving the Accuracy of Automatic Wildlife Detection in Nature Reserves Using Infrared Imaging
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 323–334
In this paper, an improved approach for automatic wildlife detection in natural environments based on the integration of a neural network architecture with a two-stream attention mechanism and a novel preclassification step based on infrared data has been presented. The proposed method addresses one of the key challenges in environmental monitoring: the need for scalable ...
Added: September 19, 2026
IDAP++: Advancing Divergence-Aware Pruning with Joint Filter and Layer Optimization
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Proceedings of the ACM on Management of Data, USA 2026 Vol. 4 No. 1 P. 1–28
Modern knowledge and large volumes of data are increasingly encoded within neural networks, making the task of simplifying their structures and reducing the number of parameters especially relevant, both to improve efficiency and to facilitate deployment in resource-constrained environments. This paper presents a novel approach to neural network compression that addresses redundancy at both the ...
Added: September 19, 2026
Automated Feature Engineering-Based Approach for Micrococci Microscopic Image Classification and Taxonomic Characteristics Determination
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2025 Vol. 35 No. 2 P. 148–158
This paper describes our research on creating classifiers for microbial images (micrococci microscopy images) obtained from pictures of unfixed microscopic scenes. In our work, we propose an AutoML approach based on the automatic generation and analysis of the feature space for constructing the most optimal descriptors of microorganism images for subsequent classification. This makes it ...
Added: September 19, 2026
Improvement in Microbial Classification Quality Using Synthetic Microscopic Images Generated by Large Visual-Language Models
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2026 Vol. 36 No. 2 P. 302–312
The lack of annotated microscopic datasets remains a major obstacle to training robust deep learning models for microbial classification. In this paper, a novel data augmentation pipeline that uses visual–linguistic large-scale models to generate synthetic microscopic images of six different bacterial and nonbacterial classes has been proposed. Synthetic samples have gradually been added to the ...
Added: September 19, 2026
Advances in Neural Computation, Machine Learning, and Cognitive Research IX
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Proceedings of 18th International Conference on Machine Learning and Computing
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Proceedings of the 35th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2024.
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Proceedings of the 36th Conference of Open Innovations Association FRUCT
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Proceedings of the 37th Conference of Open Innovations Association FRUCT
FRUCT Oy, 2025.
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Proceedings of the 39th Conference of Open Innovations Association FRUCT
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Flow-Guided Neural Pruning: Signal-Flow Framework for Multi-Architecture Model Compression
Aleksei Samarin, Nazarenko A., Kotenko E. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 8 P. 1–26
This paper presents a novel method for pruning deep neural networks based on the concept of flow, derived from the continuous modeling of signal propagation across layers. We derive flow functions for fully connected, convolutional, and self-attention architectures, and we propose a new iterative pruning algorithm, Iterative Flow-Aware Pruning (IFAP), that leverages these measures to ...
Added: September 19, 2026
Dynamic Pattern Analysis: Method Overview and Trajectory Assessment of Object Development
Myachin A. L., Procedia Computer Science 2026 Vol. 287 P. 193–200
We extend the static pattern analysis method to the temporal dimension by introducing a six-type trajectory taxonomy that classifies objects according to the frequency and structure of pattern switches over an observation window of T > 8 periods. For each object, a reference pattern is designated as the most frequently occupied group over the observation ...
Added: September 18, 2026
On the Efficiency of Bounded Multi-Source Shortest Path Algorithm
Громов Р. С., Нестеров Р.А., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4 P. 23–44
This paper explores the performance criteria of the newest algorithm for solving the problem of finding shortest paths on a graph from a given vertex – Bounded Multi-Source Shortest Path Algorithm (BM-SSP). The algorithm was published in 2025 and, as its creators claim, it is asymptotically superior to Dijkstra’s deterministic algorithm. However, in the publication devoted ...
Added: September 18, 2026
Робототехника и искусственный интеллект: международные практики и возможности для России, Дальнего Востока и Арктики
Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
Обзор международных практик развития робототехники и искусственного интеллекта и оценка возможностей их применения в условиях России, в первую очередь для Дальнего Востока и Арктической зоны РФ ...
Added: September 16, 2026
Semi-fragile image watermarking: A comprehensive survey, classification, and research directions
Melman A., Evsyutin O., Computer Science Review 2027 Vol. 63 (A) Article 101066
One of the effective means of protecting digital images is invisible watermarking. Different scenarios have different requirements for watermark resistance to post-processing. Robust watermarking schemes are resistant to a wide range of modifications. Fragile watermarking schemes are designed for integrity control and are destroyed by even minor modifications of images. Semi-fragile watermarking schemes combine features ...
Added: September 15, 2026
Автоматизированное формирование журналов событий на основе неструктурированных Интернет-источников для задач анализа процессов
Воронова К. Д., Lyadova L. N., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4 P. 153–170
Title: Automated Event Logs Generation Based on Unstructured Internet Sources for Process Analysis Tasks Abstract. This paper presents an approach to automated structuring event-related information extracted from unstructured textual Internet sources for process mining tasks. In many practical cases, information on events associated with various processes is not presented in the form of ready-made event logs, but is ...
Added: September 14, 2026
Оценка моделей LLM по степени готовности решать задачи управления в области ESG
Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.
Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...
Added: September 18, 2025
Causal Estimands for Policy Evaluation and Beyond
Sokolov B., / Series OSF "SocArXiv". 2025.
This paper reviews various estimands used in modern scientific and applied research to operationalize causal inquiries within the Rubin Causal Model framework. I first introduce the most widely utilized average treatment effects, such as ATE, ATT, and ATC. I then describe their popular extensions, including those targeting local and conditional treatment effects; causal interactions and mediation; effects ...
Added: May 6, 2025
Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency
Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.
The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...
Added: February 17, 2025
Versions of least-squares k-means algorithm for interval data
Mirkin B., Parinov A., Halynchyk M. et al., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2024.
Recently, k-means clustering has been extended to the so-called interval data. In contrast to conventional data case, the interval data feature values are intervals rather than single reals. This paper further explores the least-squares criterion for k-means clustering to tackle the issue of initialization, that is, finding a proper set of initial cluster centers at ...
Added: November 26, 2024
О применении методов машинного обучения для оценки рисков лизинговой компании
Чудинова О. С., Ramenskaya A., Социальные и экономические системы 2024 № 3(53) С. 152–169
The article examines the practical application of machine learning methods to address the issue of assessing the lessee solvency. The first stage comprises BPMN 2.0 business process modelling for leasing transactions. The second stage envisages the construction of two interpretable models (logistic regression and classification tree) to assess the lessee solvency by means of Python ...
Added: September 9, 2024
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