Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dmitry Berestnev"'
Autor:
Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev, Evgeny Burnaev
Publikováno v:
IEEE Access, Vol 12, Pp 3898-3909 (2024)
Neural Architecture Search (NAS) methods are widely used in various industries to obtain high-quality, task-specific solutions with minimal human intervention. Event Sequences (EvS) find widespread use in various industrial applications, including ch
Externí odkaz:
https://doaj.org/article/4596ad170e9441c2a8133c444ff54538
Publikováno v:
DSAA
Each day bank clients conduct numerous operations, such as purchasing goods or transferring money to other clients. These interactions can be interpreted as a graph dynamically changing over time. This work focuses on the task of predicting new inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b253da9041ab1322a92b8cb755118b1
https://doi.org/10.1109/dsaa49011.2020.00117
https://doi.org/10.1109/dsaa49011.2020.00117
Financial institutions obtain enormous amounts of data about client transactions and money transfers, which can be considered as a large graph dynamically changing in time. In this work, we focus on the task of predicting new interactions in the netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f9f19dbc86aa20d70e75f27896496c3
Publikováno v:
ICDM
In this paper, we discuss how modern deep learning approaches can be applied to the credit scoring of bank clients. We show that information about connections between clients based on money transfers between them allows us to significantly improve th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f735300b75c4e280ac5161b446ce4ee1