Zobrazeno 1 - 10
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pro vyhledávání: '"Shvetsov, A. A."'
Autor:
Vladimir K. Grib
Publikováno v:
Нижневолжский археологический вестник, Vol 21, Iss 1, Pp 299-305 (2022)
The article is dedicated to the memory of M.L. Shvetsov, a Donetsk archaeologist, expert in the field of the funeral rite of the Khazar Khaganate peoples and the late nomads. It provides biographical data and describes the main stages of his formatio
Externí odkaz:
https://doaj.org/article/f1eabf9faebd40b19a448fd360d763d7
Akademický článek
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As Canada prepares for the 2025 federal election, ensuring the integrity and security of the electoral process against cyber threats is crucial. Recent foreign interference in elections globally highlight the increasing sophistication of adversaries
Externí odkaz:
http://arxiv.org/abs/2410.05560
Event sequences, characterized by irregular sampling intervals and a mix of categorical and numerical features, are common data structures in various real-world domains such as healthcare, finance, and user interaction logs. Despite advances in tempo
Externí odkaz:
http://arxiv.org/abs/2410.03399
Autor:
Tafavvoghi, Masoud, Sildnes, Anders, Rakaee, Mehrdad, Shvetsov, Nikita, Bongo, Lars Ailo, Busund, Lill-Tove Rasmussen, Møllersen, Kajsa
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for molecular subtyping, IHC can be subjective, and gene profiling is cost
Externí odkaz:
http://arxiv.org/abs/2409.09053
Autor:
Zhelnin, Maxim, Moskvoretskii, Viktor, Shvetsov, Egor, Venediktov, Egor, Krylova, Mariya, Zuev, Aleksandr, Burnaev, Evgeny
Parameter Efficient Fine-Tuning (PEFT) methods have gained popularity and democratized the usage of Large Language Models (LLMs). Recent studies have shown that a small subset of weights significantly impacts performance. Based on this observation, w
Externí odkaz:
http://arxiv.org/abs/2408.15300
Autor:
Shvetsov, Nikita, Sildnes, Anders, Busund, Lill-Tove Rasmussen, Dalen, Stig, Møllersen, Kajsa, Bongo, Lars Ailo, Kilvaer, Thomas K.
Addressing the critical need for accurate prognostic biomarkers in cancer treatment, quantifying tumor-infiltrating lymphocytes (TILs) in non-small cell lung cancer (NSCLC) presents considerable challenges. Manual TIL quantification in whole slide im
Externí odkaz:
http://arxiv.org/abs/2405.02913
We investigate the effects of the multielectron polarization of the ion described by the induced dipole potential in photoelectron momentum distributions produced in ionization of the CO molecule by a strong laser field. We present results of the num
Externí odkaz:
http://arxiv.org/abs/2404.14254
Publikováno v:
In: Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2155. Springer, Cham
Deep learning is dramatically transforming the field of medical imaging and radiology, enabling the identification of pathologies in medical images, including computed tomography (CT) and X-ray scans. However, the performance of deep learning models,
Externí odkaz:
http://arxiv.org/abs/2404.12832
Autor:
Kastryulin, Sergey, Konev, Artem, Shishenya, Alexander, Lyapustin, Eugene, Khurshudov, Artem, Tselousov, Alexander, Vinokurov, Nikita, Kuznedelev, Denis, Markovich, Alexander, Livshits, Grigoriy, Kirillov, Alexey, Tabisheva, Anastasiia, Chubarova, Liubov, Kaminskaia, Marina, Ustyuzhanin, Alexander, Shvetsov, Artemii, Shlenskii, Daniil, Startsev, Valerii, Kornilov, Dmitrii, Romanov, Mikhail, Babenko, Artem, Ovcharenko, Sergei, Khrulkov, Valentin
In the rapidly progressing field of generative models, the development of efficient and high-fidelity text-to-image diffusion systems represents a significant frontier. This study introduces YaART, a novel production-grade text-to-image cascaded diff
Externí odkaz:
http://arxiv.org/abs/2404.05666