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
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
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
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
Springer, Cham, 2026.
computer vision ...
Added: September 19, 2026
Springer, Cham, 2026.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2024.
Added: September 19, 2026
FRUCT Oy, 2025.
Added: September 19, 2026
FRUCT Oy, 2026.
Added: September 19, 2026
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
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
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
Blinova E., Sherbakova O., Learning and Instruction 2026 Vol. 106 Article 102432
Abstract
Background
Knowledge abstractness is one of the factors affecting learning outcomes, particularly in learning from multimedia texts. However, most previous studies on multimedia learning have focused on manipulating pictorial abstractness, while the role of text topic abstractness remains largely unexplored.
Aims
1. Examine how topic abstractness influences multimedia learning outcomes when pictorial abstractness remains constant. 2. Investigate how ...
Added: September 16, 2026
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
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
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
Springer, 2026.
This book gathers selected papers from the KES-IDT 2025 conference, held in Solin, Croatia, on June 25–27, 2025. The book presents and discusses the latest research results and generates new ideas in the field of intelligent decision-making. The range of topics discussed is classification, prediction, data analysis, big data, data science, decision support, knowledge engineering, ...
Added: September 13, 2026
Lebedev O. B., Митяков Е. С., Саенко И. Б. et al., Информация и космос 2026 № 1 С. 53–58
The article presents a methodology for the integrated assessment of cyberattacks on industrial control systems (ICS) using a combination of the Ampire cyber range and a digital twin. The approach is based on calculating five criteria—severity, attacker capabilities, vulnerability, complexity, and defense effectiveness—that form an integrated threat index. Testing across three scenarios confirmed the index's ...
Added: September 13, 2026
Дейнеко А. Г., Право и государство: теория и практика 2025 № 9 С. 156–160
The research is devoted to the implementation and protection of fundamental human rights and freedoms in the context of the development of the entire complex of modern information technologies. The author's concept of improving the mechanisms for ensuring the implementation and protection of the main categories of individual rights and freedoms has been developed, and the basic ...
Added: September 4, 2026
Ильященко К. А., В кн.: Сборник тезисов докладов X юбилейной Всероссийской научной студенческой конференции НИУ ВШЭ - Нижний Новгород.: Н. Новгород: [б.и.], 2026. С. 125–130.
В работе анализируются пространственные различия в спросе на навыки искусственного интеллекта (ИИ) на российском рынке труда в 2021-2025 гг. На основе данных более 700 тысяч вакансий с портала HeadHunter выделены три уровня анализа: регионы, типы городов (миллионники, столицы субъектов, прочие) и внутрирегиональный разрыв «столица-периферия». Построены рейтинги регионов по доле вакансий с ИИтребованиями, оценена динамика для ...
Added: August 4, 2026
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2026 Т. 65 № 2 С. 100–111
Society increasingly relies on generative artificial intelligence models, which are used in many areas and have become an integral part of the lives of various social groups. The exponential growth of data, however, cannot meet the ever-growing demand for training artificial intelligence models. A relatively new way to overcome the shortage of training data is ...
Added: July 2, 2026
Panarina M., Законодательство 2026 № 5 С. 16–23
Автор рассматривает актуальные проблемы регулирования оборота цифровых активов в Российской Федерации, обращает внимание на причины значительных ограничений в сфере судебной защиты прав владельцев цифровых активов, отмечает правовые коллизии и пробелы. По ее мнению, лишь дальнейшее развитие законодательства позволит более четко определить и регламентировать использование цифровых активов в соответствии с требованиями оборота, а также обеспечить защиту ...
Added: May 14, 2026
Budnik R., Журнал зарубежного законодательства и сравнительного правоведения 2026 Т. 22 № 2 С. 15–26
This article examines the precedential cooperation between the governmental and business entities in eradicating piracy in the informational area of China. The purpose of the study is to analyze the unique empirical approach to the implementation of public policy aimed at restoring the effective functioning of mechanisms for the protection and enforcement of intellectual property ...
Added: April 27, 2026