Zobrazeno 1 - 10
of 21 221
pro vyhledávání: '"Savchenko, A. A."'
Autor:
Shirokikh, Mikhail, Shenbin, Ilya, Alekseev, Anton, Volodkevich, Anna, Vasilev, Alexey, Savchenko, Andrey V., Nikolenko, Sergey
We develop and evaluate neural architectures to model the user behavior in recommender systems (RS) inspired by click models for Web search but going beyond standard click models. Proposed architectures include recurrent networks, Transformer-based m
Externí odkaz:
http://arxiv.org/abs/2409.20055
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:
Zakharova, Anastasiia, Alexandrov, Dmitriy, Khodorchenko, Maria, Butakov, Nikolay, Vasilev, Alexey, Savchenko, Maxim, Grigorievskiy, Alexander
Machine learning (ML) models trained on datasets owned by different organizations and physically located in remote databases offer benefits in many real-world use cases. State regulations or business requirements often prevent data transfer to a cent
Externí odkaz:
http://arxiv.org/abs/2409.15558
Autor:
Savchenko, M. L., Kozlov, D. A., Krishtopenko, S. S., Mikhailov, N. N., Kvon, Z. D., Pimenov, A., Weiss, D.
The quantum Hall effect, which exhibits a number of unusual properties, is studied in a gated 1000-nm-thick HgTe film, nominally a three-dimensional system. A weak zero plateau of Hall resistance, accompanied by a relatively small value of Rxx of the
Externí odkaz:
http://arxiv.org/abs/2409.09409
Autor:
Savchenko, S. S., Morozova, D. A., Jorstad, S. G., Blinov, D. A., Borman, G. A., Vasilyev, A. A., Grishina, T. S., Zhovtan, A. V., Kopatskaya, E. N., Larionova, E. G., Troitskiy, I. S., Troitskaya, Yu. V., Shishkina, E. V., Shkodkina, E. A.
Publikováno v:
Astrophysical Bulletin, Volume 79, Issue 2, pp. 186-202, 2024
Observations of quasars show that the polarization position angle of the emission coming from them varies greatly over time, including periods called rotations during which the angle changes in an orderly manner. The study proposes a method for ident
Externí odkaz:
http://arxiv.org/abs/2409.08674
Autor:
Karpukhin, Ivan, Savchenko, Andrey
Long-horizon event forecasting is critical across various domains, including retail, finance, healthcare, and social networks. Traditional methods, such as Marked Temporal Point Processes (MTPP), often rely on autoregressive models to predict multipl
Externí odkaz:
http://arxiv.org/abs/2408.13131
The expansion in automation of increasingly fast applications and low-power edge devices poses a particular challenge for optimization based control algorithms, like model predictive control. Our proposed machine-learning supported approach addresses
Externí odkaz:
http://arxiv.org/abs/2408.09781
The digital landscape provides a dynamic platform for political discourse crucial for understanding shifts in public opinion and engagement especially under authoritarian governments This study examines YouTube user behavior during the Russian-Ukrain
Externí odkaz:
http://arxiv.org/abs/2408.09378
Autor:
Kumichev, Gleb, Blinov, Pavel, Kuzkina, Yulia, Goncharov, Vasily, Zubkova, Galina, Zenovkin, Nikolai, Goncharov, Aleksei, Savchenko, Andrey
Generating synthetic text addresses the challenge of data availability in privacy-sensitive domains such as healthcare. This study explores the applicability of synthetic data in real-world medical settings. We introduce MedSyn, a novel medical text
Externí odkaz:
http://arxiv.org/abs/2408.02056
Autor:
Savchenko, Andrey V.
In this paper, we describe the results of the HSEmotion team in two tasks of the seventh Affective Behavior Analysis in-the-wild (ABAW) competition, namely, multi-task learning for simultaneous prediction of facial expression, valence, arousal, and d
Externí odkaz:
http://arxiv.org/abs/2407.13184