Zobrazeno 1 - 10
of 782
pro vyhledávání: '"SAVCHENKO, A. V."'
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:
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
Autor:
Mozikov, Mikhail, Severin, Nikita, Bodishtianu, Valeria, Glushanina, Maria, Baklashkin, Mikhail, Savchenko, Andrey V., Makarov, Ilya
Behavior study experiments are an important part of society modeling and understanding human interactions. In practice, many behavioral experiments encounter challenges related to internal and external validity, reproducibility, and social bias due t
Externí odkaz:
http://arxiv.org/abs/2406.03299
Autor:
Savchenko, Andrey V.
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW) competition. To improve the trustworthiness of facial analysis, we study the possibility of using pre-trained deep models that extract reliable emotional f
Externí odkaz:
http://arxiv.org/abs/2403.11590
Autor:
Savchenko, S. V.
In the present paper, for a given (possibly, infinite) strongly connected digraph $\cal{D},$ we consider the class $\cal{S}_{<}({\cal D})$ of all truthly substochastic weightings of ${\cal D}$ (here, the word "truthly" means that there exists a verte
Externí odkaz:
http://arxiv.org/abs/2311.13340
Autor:
Savchenko, Andrey V.
In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented. The usage of the pre-trained convolutional networks from the EmotiEffNet family for frame-level feature extraction is stu
Externí odkaz:
http://arxiv.org/abs/2303.09162
Autor:
Savchenko, Andrey V.
In this paper, we present the results of the HSE-NN team in the 4th competition on Affective Behavior Analysis in-the-wild (ABAW). The novel multi-task EfficientNet model is trained for simultaneous recognition of facial expressions and prediction of
Externí odkaz:
http://arxiv.org/abs/2207.09508
Publikováno v:
Bìznes Inform, Vol 4, Iss 555, Pp 18-25 (2024)
The article examines the complex impact of both war and migration processes on the demographic and economic situation in Ukraine. Emphasis is placed on the fact that the conflict that has been going on since 2014 and the migration crisis inherent in
Externí odkaz:
https://doaj.org/article/c86e4f7b63fd4fec877b4fc397d396e0
Publikováno v:
Bìznes Inform, Vol 3, Iss 554, Pp 23-30 (2024)
Renewable energy has become one of the most attractive sectors for investment in the modern world. The increasing focus on environmental pollution and climate change, coupled with rapid technological advancements in this field, make it highly promisi
Externí odkaz:
https://doaj.org/article/87ac21a0c4424c3293e5ce38ffc769c1
Autor:
Savchenko, Andrey V.
In this paper, we consider the problem of real-time video-based facial emotion analytics, namely, facial expression recognition, prediction of valence and arousal and detection of action unit points. We propose the novel frame-level emotion recogniti
Externí odkaz:
http://arxiv.org/abs/2203.13436