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Разработка модели предсказания интенции комментария на основе глубокой нейронной сети
С. 133–139.
Demidovskij A.
In book
Н. Новгород: НИУ ВШЭ, 2017.
Lebedev O. B., Черкасов Р. И., Известия ЮФУ. Технические науки 2025 № 5(247) С. 254–276
This paper considers the application of artificial intelligence technologies, in particular computer vision, in visual information processing systems. A comprehensive analysis of neural network approaches to solving computer vision problems is carried out, including systematization of key types of problems: image classification, object detection and semantic segmentation. The architectural principles of convolutional neural networks are ...
Added: September 10, 2026
Lebedev O. B., Шмелева А. Г., Гежа Н. С., Информатика и автоматизация (Труды СПИИРАН) 2026 Т. 25 № 3 С. 720–750
This paper describes the development of a neural network model for automated analysis of medical data in electrophysiology based on deep learning methods. The relevance of this work stems from the growing need to improve the objectivity, speed, and accuracy of processing complex spatiotemporal signals, such as ECG or EEG. Convolutional neural networks (CNNs), which ...
Added: September 10, 2026
Makarov N., Savchenko A., Zemtsova I. et al., Scientific Reports 2025 Vol. 15 Article 26641
The grey wolf (Canis lupus) is a pivotal species for ecological studies. As a key participant in ecosystem
processes, it also serves as a model for investigating social structure formation and ecological
adaptation. However, the species’ complex social behavior, spatial dynamics, and expansive habitats
make monitoring and population assessments across large areas particularly challenging. In recent
years, audio traps ...
Added: June 16, 2026
Vasilev R., Savchenko A., Blinov P. et al., Frontiers in Medicine 2026 Vol. 13 Article 1778404
Automated disease screening systems face challenges when applied to multi-class medical image analysis, particularly under severe class imbalance inherent in clinical datasets. Retinal fundus imaging enables non-invasive screening for multiple ocular and systemic diseases simultaneously, yet current automated systems typically assess risk for only a single pathology or a limited disease range. We developed a ...
Added: June 16, 2026
Глазкова А. В., Смаль И. В., Lyashevskaya O. et al., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2025 Т. 527 С. 146–155
This paper presents a study on the effectiveness of discriminative methods for abbreviation lemmatization in Russian texts. Unlike generative approaches, discriminative models select the optimal lemma from a fixed set of candidates, eliminating the risk of generating grammatically incorrect word forms. For the first time in Russian language processing, we conduct a comprehensive analysis of ...
Added: March 10, 2026
Hushchyn M., Arzymatov K., Derkach D., Machine Learning 2026 Vol. 115 Article 56
Moments when a time series changes its behavior are called change points. Occurrence of change point implies that the state of the system is altered and its timely detection might help to prevent unwanted consequences. In this paper, we present two change-point detection approaches based on neural networks and online learning. These algorithms demonstrate linear ...
Added: March 6, 2026
Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2026 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM).: IEEE, 2026. P. 842–847.
This article analyzes the evolution of digital image manipulation detection methods over the 2016–2026 decade. It examines the transition from classic passive methods (ELA, metadata analysis, and noise pattern analysis) to deep neural network architectures (VGG16+U-Net, ManTra-Net, SPAN, and RDS-YOLOv5) and then to multimodal systems based on large language models (ForgeryGPT and FakeShield), which provide ...
Added: February 25, 2026
Springer, 2025.
The two-volume set LNCS 15836 and 15837 constitutes the proceedings of the 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, held in Kanazawa, Japan, during July 4–6, 2025.
The 33 full papers, 19 short papers and 2 demo papers presented in this volume were carefully reviewed and selected from 120 submissions. ...
Added: February 3, 2026
Fedotov G., Международный вестник криминалистики 2024 № 92 С. 77–83
В последние годы наблюдается значительный прогресс в качестве синтетически сгенерированного контента. Кроме того, регулярно появляются инструменты, с помощью которых обычный пользователь персонального компьютера может создать реалистичный поддельный контент. В работе исследуется развитие генеративных моделей в задаче Face Synthesis, а также способы обнаружения дипфейков, созданных с помощью моделей этого класса. Представленные в работе подходы показали хорошую ...
Added: September 24, 2025
Teplova T., Fayzulin M., Kurkin A., Socio-Economic Planning Sciences 2025 No. 101 Article 102292
This research is devoted to the development and evaluation of the effectiveness of machine learning and deep learning models for forecasting crisis phenomena in the Russian stock market. The work covers the period from the beginning of 2014 to June 2024, using the IMOEX index as the main indicator of the market condition. Special attention ...
Added: August 2, 2025
Dmitrieva K., Жолус М. Р., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2025 Т. 23 № 1 С. 80–92
Automatic text summarization is one of the main tasks of natural language processing (NLP), which consists in creating a shorter version of the source text. In today’s world the amount of information consumed by people is constantly
increasing, therefore more and more emphasis is being placed on the task of summarization. There are two main approaches ...
Added: July 8, 2025
Bolshakova E. I., Семак В. В., Программные продукты и системы 2025 Т. 38 № 1 С. 5–16
The current state in the field of automatic term extraction from specialized natural language texts, including scientific and technical documents, is considered. Practical applications of methods and tools for extracting terms from texts include creation of terminological dictionaries, thesauri, and glossaries of problem oriented domains, as well as extraction of keywords and construction of subject ...
Added: July 2, 2025
Walton S., Klyukin V., Artemev M. et al., , in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).: IEEE, 2025. P. 3328–3337.
Explicit density learners are becoming an increasingly popular technique for generative models because of their ability to better model probability distributions. They have advantages over Generative Adversarial Networks due to their ability to perform density estimation and having exact latent-variable inference. This has many advantages, including: being able to simply interpolate, calculate sample likelihood, and ...
Added: April 1, 2025
Romanova T. V., Khomenko A., Legal Issues in the Digital Age 2022 Vol. 3 No. 2 P. 90–115
The article deals with validation of an integrative attribution algorithm based on the analysis of the author’s idiostyle using methods of interpretative linguistics with ob jectification of the available data with the help of mathematical statistics. The algo rithm addresses the identification problem of the attribution. The choice of parameters describing the individual style of ...
Added: March 12, 2025
Boldyrev A., Derkach D., Ratnikov F. et al., EPJ Web of Conferences 2024 Vol. 295 Article 09008
Calorimeters are a crucial component for most detectors mounted on modern colliders. Their tasks include identifying and measuring the energy of photons and neutral hadrons, recording energetic hadronic jets, and contributing to the identification of electrons, muons, and charged hadrons. To fulfill these many tasks while keeping costs reasonable, the calorimeter construction requires good and ...
Added: January 8, 2025
Morozov D., Garipov T., Lyashevskaya O. et al., Journal of Language and Education 2024 Vol. 10 No. 4 P. 71–84
Introduction: Numerous algorithms have been proposed for the task of automatic morpheme segmentation of Russian words. Due to the differences in task formulation and datasets utilized, comparing the quality of these algorithms is challenging. It is unclear whether the errors in the models are due to the ineffectiveness of algorithms themselves or to errors and inconsistencies ...
Added: January 7, 2025
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Journal of High Energy Physics 2024 Vol. 2024 No. 9 Article 82
A measurement of the transverse polarization of the Λ and Λ¯ hyperons in pNe fixed-target collisions at sNN = 68.4 GeV is presented using data collected by the LHCb detector. The polarization is studied using the decay Λ → pπ− together with its charge conjugated process, the integrated values measured are
PΛ=0.029±0.019(stat)±0.012(syst),PΛ¯=0.003±0.023(stat)±0.014(syst).
Furthermore, the results are shown as a function of the Feynman x variable, transverse momentum, pseudorapidity and rapidity ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 110 No. 7 Article 7
A search for the lepton-flavor violating decays is presented, using a sample of proton-proton collisions at center-of-mass energies of 7, 8, and 13 TeV, collected with the LHCb detector and corresponding to a total integrated luminosity of 9 fb−1. The 𝜏 leptons are selected using decays with three charged pions. No significant excess is observed, and an upper limit on the ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Journal of High Energy Physics 2024 Vol. 2024 No. 8 Article 93
A search for radiative decay of Bs0 mesons to orbitally excited K+K− states is performed using proton proton collisions recorded by the LHCb experiment, corresponding to an integrated luminosity of 9 fb−1. The dikaon spectrum in the mass range mKK < 2400 MeV/c2 is dominated by the ϕ(1020) resonance that accounts for almost 70% of the decay rate. Considering the possible contributions of f2(1270), f2′(1525) ...
Added: December 6, 2024
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review Letters 2024 Vol. 133 No. 13 Article 131902
A study of resonant structures in and 𝐵+→𝐷*−𝐷+𝐾+ decays is performed, using proton-proton collision data at center-of-mass energies of √𝑠 =7, 8, and 13 TeV recorded by the LHCb experiment, corresponding to an integrated luminosity of 9 fb−1. A simultaneous amplitude fit is performed to the two channels with contributions from resonances decaying to 𝐷*−𝐷+ and 𝐷*+𝐷− states linked by 𝐶 parity. This procedure allows the 𝐶 parities of resonances in ...
Added: December 6, 2024