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Three Legal Views of a Software: Source Code, Derivative Work, and Work for Hire
Вестник экономического правосудия Российской Федерации. 2022. No. 10. P. 100–137.
Yankovskiy R., Nikiforov A., Бардов И. А.
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
Буянкин А. А., Казьмина А. Н., Йоханнссон И., HSE University Journal of International Law 2025 Vol. 3 No. 3 P. 91–120
The article concerns the geographical scope of the Svalbard Treaty. This agreement establishes a unique treaty regime for the archipelago and its waters providing equal rights to the resources of the archipelago to all contracting parties. But since the 1920s, the law of the sea has developed significantly. Norway argued that this development gave it ...
Added: September 18, 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
Rastoropov S., Bakradze A., Fedotov A., Вестник Воронежского государственного университета. Серия: Право 2026 № 1 С. 226–235
the article considers the features of qualifi cation of physical brokering in bribery, combined
with the proactive non-transfer of part of the bribe item by the intermediary, which was not stipulated
by other participants of «corruption transaction». The continuing theoretical and applied variability of
the assessment of alleged or inappropriate brokerage in bribery is due to the lack ...
Added: September 17, 2026
Конструкция составов вовлечения в террористическую деятельность в условиях цифровых форм воздействия
Tarasov A., Уголовная юстиция 2026 № 27 С. 40–46
In the article, the author clarifies the concept of the mechanism of criminal law prevention of radicalization and involvement in terrorist activity, wherein prevention is viewed as a result of the functioning of the normative structure, and legal assessment is shifted to the stage of influence: ideological, organizational, or informational-communicational. In this regard, based on ...
Added: September 17, 2026
Tarasov A., Право и управление. Научно-правовой журнал 2026 № 8 С. 28–35
The article presents the results of the author's research on the issues of qualification and prevention of hybrid crime schemes that combine digital fraud methods under Articles 159, 159.3, and 159.6 of the Criminal Code of the Russian Federation and the involvement of citizens in terrorist activities under Articles 205.1 and 205.2 of the Criminal ...
Added: September 17, 2026
Tarasov A., Право и управление. Научно-правовой журнал 2026 № 8 С. 234–241
The article presents the results of a comprehensive study on criminal law risks and challenges arising from the criminal exploitation of open-source intelligence (OSINT) analytical tools. The author reveals the unique dual nature of OSINT technology: while serving as a legitimate means of data collection and analysis for investigations and journalism, it is simultaneously weaponized ...
Added: September 17, 2026
Tarasov A., Право и управление. Научно-правовой журнал 2026 № 7 С. 224–229
The article, which develops a series of studies on the transform base of organized crime, deals with the problems of crimin financing through modern decentralized payment tools. It was the technological sector that predetermined the qualitative evolution of methods of assisting terrorist activity, in which traditional fiat settlements are replaced by a hidden digital and ...
Added: September 17, 2026
Ларионова Е. С., Актуальные проблемы российского права 2024 С. 73–80
The paper suggests promising directions for improving the financial law mechanism of functioning for payment systems, ensuring achievement of the goals of financial market development provided for by the Strategy for the Development of the Financial Market of the Russian Federation until 2030 and the goals of ensuring national security defined by the National Security ...
Added: September 17, 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
Oshmankevich K., Холодная Е. В., Магдилова Л. В. et al., В кн.: Правовое регулирование бережного и устойчивого оборота данных.: М.: ИНФРА-М, 2025. Гл. 3.5 С. 137–201.
Монография посвящена актуальным проблемам оборота данных в цифровую эпоху. Исследуется концепия "бережного" оборота данных для защиты прав человека. Анализируется влияние технологий на права, принципы "бережного" оборота, регулирование больших данных, соотношение данных и интеллектуальной слбственности, безопасность при развитии искусственного интеллекта. Особое внимание уделено персональным данным в трудовых отношениях и в здравоохранении.
Предназначена для научного сообщества, практикущих юристов, ...
Added: February 13, 2026
Savelyev A., Закон 2026 № 1 С. 70–77
This article explores the rationale for establishing a separate legal regime for machine learning models as a distinct intellectual property object, distinct from the legal regime for computer programs, under which they are classified under current Russian legislation. This paper provides a structural analysis of machine learning models, including an examination of their architecture, parameters, ...
Added: January 19, 2026
Gadzhieva A., Trubina V., Соловьева-Опошнянская А. Ю., Право. Журнал Высшей школы экономики 2025 № 4 С. 267–291
На протяжении последних десятилетий сфера здравоохранения переживает качественную трансформацию. Цифровизация здравоохранения – один из важнейших глобальных трендов развития, направленный на обеспечение большей доступности медицины для населения, повышение скорости и качества оказания медицинской помощи. В сфере здравоохранения активно используются передовые цифровые решения: телемедицинские услуги, мобильные приложения, технологии обработки больших объемов данных, машинного обучения, системы искусственного интеллекта. ...
Added: December 19, 2025