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of 1 138
pro vyhledávání: '"A. Kartashev"'
Autor:
A. Kartashev
Publikováno v:
Гуманитарные и юридические исследования, Vol 0, Iss 1, Pp 89-98 (2021)
The article is devoted to little-known events in the history of the Battle of the Caucasus - the participation of aviation units - at the most dramatic moment, when Soviet troops retreated from the city of Rostov-on-Don to the foothill areas of the N
Externí odkaz:
https://doaj.org/article/91f905d334354eb4a2e55f45260b205e
Autor:
A. Kartashev
Publikováno v:
Гуманитарные и юридические исследования, Vol 0, Iss 4, Pp 41-48 (2021)
The article is devoted to an insufficiently studied issue of the participation of partisan detachments of the Stavropol Territory in the hostilities of the 4th Guards Kuban Cossack Cavalry Corps against the Nazi invaders in October - November 1942. B
Externí odkaz:
https://doaj.org/article/2450d3b75c9d4dc39f872fcfd7923032
Advances in machine learning research drive progress in real-world applications. To ensure this progress, it is important to understand the potential pitfalls on the way from a novel method's success on academic benchmarks to its practical deployment
Externí odkaz:
http://arxiv.org/abs/2406.19380
Autor:
Gorishniy, Yury, Rubachev, Ivan, Kartashev, Nikolay, Shlenskii, Daniil, Kotelnikov, Akim, Babenko, Artem
Deep learning (DL) models for tabular data problems (e.g. classification, regression) are currently receiving increasingly more attention from researchers. However, despite the recent efforts, the non-DL algorithms based on gradient-boosted decision
Externí odkaz:
http://arxiv.org/abs/2307.14338
Autor:
Nur Sofiatul Aini, Arif Nur Muhammad Ansori, Mochammad Aqilah Herdiansyah, Viol Dhea Kharisma, Muhammad Hermawan Widyananda, Ahmad Affan Ali Murtadlo, Dora Dayu Rahma Turista, Teguh Hari Sucipto, Sukma Sahadewa, Fara Disa Durry, Vikash Jakhmola, Maksim Rebezov, Valery P. Kartashev, Kadek Rachmawati, Putu Angga Wiradana, T. Karpagam, Hery Purnobasuki
Publikováno v:
BIO Integration, Vol 5, Iss 1 (2024)
Background: Plasmodium falciparum is a malaria-causing unicellular parasite with strain 3D7 (Pf 3D7) being the most lethal. Currently, antimalarial resistance has been reported which necessitates the development of novel antimalarial drugs to combat
Externí odkaz:
https://doaj.org/article/10bee9c1524f4fd48823aec502945c54
Publikováno v:
Siberian Journal of Life Sciences and Agriculture, Vol 16, Iss 3, Pp 541-559 (2024)
Background. The success of a medical organization, as well as the quality of medical services to patients, depends on the satisfaction of medical workers. This is due to the fact that job satisfaction is one of the key factors influencing motivation,
Externí odkaz:
https://doaj.org/article/3bde12fdb93d4fbd8d1751420024562b
Autor:
Malinin, Andrey, Athanasopoulos, Andreas, Barakovic, Muhamed, Cuadra, Meritxell Bach, Gales, Mark J. F., Granziera, Cristina, Graziani, Mara, Kartashev, Nikolay, Kyriakopoulos, Konstantinos, Lu, Po-Jui, Molchanova, Nataliia, Nikitakis, Antonis, Raina, Vatsal, La Rosa, Francesco, Sivena, Eli, Tsarsitalidis, Vasileios, Tsompopoulou, Efi, Volf, Elena
Distributional shift, or the mismatch between training and deployment data, is a significant obstacle to the usage of machine learning in high-stakes industrial applications, such as autonomous driving and medicine. This creates a need to be able to
Externí odkaz:
http://arxiv.org/abs/2206.15407
Autor:
Bogdanov, Evgeniy V., Gorev, Mikhail V., Laptash, Natalia M., Kartashev, Andrey V., Pogoreltsev, Evgeniy I., Flerov, Igor N.
Publikováno v:
In Solid State Sciences November 2024 157
Publikováno v:
Психологическая наука и образование, Vol 29, Iss 1, Pp 99-112 (2024)
The article reveals the degree of effectiveness of segregated and inclusive forms of psychological and pedagogical support for students with special educational needs. In the psychological experiment took part 68 students with disabilities, its purpo
Externí odkaz:
https://doaj.org/article/c470f3b619fc4af9a1a1f19eeeee3747
Autor:
Karpov, Ilia, Kartashev, Nick
The ubiquity of the contemporary language understanding tasks gives relevance to the development of generalized, yet highly efficient models that utilize all knowledge, provided by the data source. In this work, we present SocialBERT - the first mode
Externí odkaz:
http://arxiv.org/abs/2111.07148