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pro vyhledávání: '"Berestnev, Dmitry"'
Autor:
Zaytsev, Alexey, Kovaleva, Maria, Natekin, Alex, Vorsin, Evgeni, Smirnov, Valerii, Smirnov, Georgii, Sidorshin, Oleg, Senin, Alexander, Dudin, Alexander, Berestnev, Dmitry
Banks routinely use neural networks to make decisions. While these models offer higher accuracy, they are susceptible to adversarial attacks, a risk often overlooked in the context of event sequences, particularly sequences of financial transactions,
Externí odkaz:
http://arxiv.org/abs/2308.11406
The financial industry relies on deep learning models for making important decisions. This adoption brings new danger, as deep black-box models are known to be vulnerable to adversarial attacks. In computer vision, one can shape the output during inf
Externí odkaz:
http://arxiv.org/abs/2308.10201
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:
http://arxiv.org/abs/2009.14588
Financial institutions obtain enormous amounts of data about user 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 networ
Externí odkaz:
http://arxiv.org/abs/2001.08427
Akademický článek
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Publikováno v:
International Journal of Data Science & Analytics; Aug2021, Vol. 12 Issue 2, p135-145, 11p
