Zobrazeno 1 - 10
of 4 628
pro vyhledávání: '"A. A. Kireev"'
Autor:
Dzhambulat, Mollaev, Kostin, Alexander, Maria, Postnova, Karpukhin, Ivan, Kireev, Ivan A, Gusev, Gleb, Savchenko, Andrey
Financial organizations collect a huge amount of data about clients that typically has a temporal (sequential) structure and is collected from various sources (modalities). Due to privacy issues, there are no large-scale open-source multimodal datase
Externí odkaz:
http://arxiv.org/abs/2409.17587
Autor:
Abdullaeva, Irina, Filatov, Andrei, Orlov, Mikhail, Karpukhin, Ivan, Vasilev, Viacheslav, Dimitrov, Denis, Kuznetsov, Andrey, Kireev, Ivan, Savchenko, Andrey
Event sequences (ESs) arise in many practical domains including finance, retail, social networks, and healthcare. In the context of machine learning, event sequences can be seen as a special type of tabular data with annotated timestamps. Despite the
Externí odkaz:
http://arxiv.org/abs/2407.12833
Autor:
Bazarova, Alexandra, Kovaleva, Maria, Kuleshov, Ilya, Romanenkova, Evgenia, Stepikin, Alexander, Yugay, Alexandr, Mollaev, Dzhambulat, Kireev, Ivan, Savchenko, Andrey, Zaytsev, Alexey
Effective processing of financial transactions is essential for banking data analysis. However, in this domain, most methods focus on specialized solutions to stand-alone problems instead of constructing universal representations suitable for many pr
Externí odkaz:
http://arxiv.org/abs/2404.02047
Autor:
Turin, Valentin O., Ilyushina, Yulia V., Andreev, Pavel A., Cherepkova, Anastasia Yu., Kireev, Daniil D., Nazritsky, Iliya V.
The paper considers a slightly modified one-dimensional infinite mass-in-mass chain. In the case of the long-wave approximation, which corresponds to the transition to a continuous medium, we obtained a system of two equations, which is a generalizat
Externí odkaz:
http://arxiv.org/abs/2401.12271
Analog neuromorphic computing systems emulate the parallelism and connectivity of the human brain, promising greater expressivity and energy efficiency compared to digital systems. Though many devices have emerged as candidates for artificial neurons
Externí odkaz:
http://arxiv.org/abs/2310.02364
Autor:
Zhuzhel, Vladislav, Grabar, Vsevolod, Boeva, Galina, Zabolotnyi, Artem, Stepikin, Alexander, Zholobov, Vladimir, Ivanova, Maria, Orlov, Mikhail, Kireev, Ivan, Burnaev, Evgeny, Rivera-Castro, Rodrigo, Zaytsev, Alexey
Event sequences often emerge in data mining. Modeling these sequences presents two main challenges: methodological and computational. Methodologically, event sequences are non-uniform and sparse, making traditional models unsuitable. Computationally,
Externí odkaz:
http://arxiv.org/abs/2302.06247
Autor:
Fomin, Mykola, Pasadas, Francisco, Marin, Enrique, Rull, Alberto Medina, Ruiz, Francisco, Godoy, Andres, Zadorozhnyi, Ihor, Beltramo, Guillermo, Brings, Fabian, Vitusevich, Svetlana, Offenhaeusser, Andreas, Kireev, Dmitry
The combination of graphene with silicon in hybrid devices has attracted attention extensively over the last decade. Most of such devices were proposed for photonics and radiofrequency applications. In this work, we present a unique technology of gra
Externí odkaz:
http://arxiv.org/abs/2204.09572
Autor:
Volkov, Sergey N., Charkin, Dmitri O., Marsiy, Ivan A., Banaru, Daria A., Povolotskiy, Alexey V., Gosteva, Alevtina N., Yu. Arsent’ev, Maxim, Krzhizhanovskaya, Maria G., Ugolkov, Valery L., Savchenko, Yevgeny E., Kireev, Vadim E., Aksenov, Sergey M., Bubnova, Rimma S.
Publikováno v:
In Journal of Crystal Growth 15 October 2024 644
Autor:
Charkin, Dmitri O., Kireev, Vadim E., Savchenko, Yevgeny E., Kuznetsov, Alexey N., Kompanchenko, Alena A., Aksenov, Sergey M.
Publikováno v:
In Solid State Sciences September 2024 155
Autor:
Chernysh, V.S., Ieshkin, A.E., Kireev, D.S., Tatarintsev, A.A., Senatulin, B.R., Skryleva, E.A.
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, B September 2024 554