A Multimodal Vision-Language Framework for Financial Anomaly Detection
Authors
Siang-Li JHENG
Marie Skłodowska-Curie Actions (MSCA) Digital Finance Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies,, IDA Institute Digital Assets, Bucharest, Romania
Daniel Traian PELE
Bucharest University of Economic Studies, Bucharest, Romania
Institute for Economic Forecasting, Romanian Academy, IDA Institute Digital Assets, Bucharest, Romania
Rahul TAK
Marie Skłodowska-Curie Actions (MSCA) Digital Finance Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies,, IDA Institute Digital Assets, Bucharest, Romania
Ştefan GAMAN
Marie Skłodowska-Curie Actions (MSCA) Digital Finance Doctoral School of Cybernetics and Economic Statistics, Bucharest University of Economic Studies,, Bucharest, Romania
Department of Econometrics, Poznań University of Economics and Business IDA Institute Digital Assets, Poznań
DOI: https://doi.org/10.2478/picbe-2026-0020 | Journal eISSN: 2558-9652
Language: English
Page range: 191 - 201
Published on: Jul 15, 2026
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2026 Siang-Li JHENG, Daniel Traian PELE, Rahul TAK, Ştefan GAMAN, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.