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Intelligent AML systems: using deep learning to detect financial fraud Cover

Intelligent AML systems: using deep learning to detect financial fraud

TalTech Journal of European Studies
Volume 15 (2025): Issue 3 (December 2025)
By: Olga Pavlova,  Viacheslav Askerov,  Bohdan Tomchyshen and  Tetiana Hovorushchenko  
Open Access
|Dec 2025

Authors

Olga Pavlova

pavlovao@khmnu.edu.ua

Department of Computer Engineering and Information Systems, Khmelnytskiy National University Instytutska 11, Khmelnytskyi, Ukraine

Viacheslav Askerov

vyacheslav@askerov.com

Department of Computer Engineering and Information Systems, Khmelnytskiy National University Instytutska 11, Khmelnytskyi, Ukraine

Bohdan Tomchyshen

btomchishen@icloud.com

Department of Computer Engineering and Information Systems, Khmelnytskiy National University Instytutska 11, Khmelnytskyi, Ukraine

Tetiana Hovorushchenko

hovorushchenko@khmnu.edu.ua

Department of Computer Engineering and Information Systems, Khmelnytskiy National University Instytutska 11, Khmelnytskyi, Ukraine
DOI: https://doi.org/10.2478/bjes-2025-0032 | Journal eISSN: 2674-4619 | Journal ISSN: 2674-4600
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Language: English
Page range: 102 - 122
Published on: Dec 12, 2025
Published by: Tallinn University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
AML,
bitcoin,
Elliptic,
fraud,
GCN,
GNN,
neural networks
Related subjects:
Computer sciences,
Computer sciences, other,
Business and economics,
Political economics,
Political economics, other,
Law,
Law, other,
Social sciences,
Social sciences, other

© 2025 Olga Pavlova, Viacheslav Askerov, Bohdan Tomchyshen, Tetiana Hovorushchenko, published by Tallinn University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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