Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models
- DOI
- 10.1109/access.2025.3600967
- Published
- 2025
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2025.3600967,
title = {Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models},
author = {Alexander Bakumenko and Kateřina Hlaváčková-Schindler and Claudia Plant and Nina C. Hubig},
year = {2025},
journal = {IEEE Access},
doi = {10.1109/access.2025.3600967},
url = {https://doi.org/10.1109/access.2025.3600967}
}RIS
TY - JOUR TI - Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models AU - Alexander Bakumenko AU - Kateřina Hlaváčková-Schindler AU - Claudia Plant AU - Nina C. Hubig PY - 2025 JO - IEEE Access DO - 10.1109/access.2025.3600967 UR - https://doi.org/10.1109/access.2025.3600967 ER -
APA
Bakumenko, A., Hlaváčková-Schindler, K., Plant, C., & Hubig, N. C. (2025). Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models. IEEE Access. https://doi.org/10.1109/access.2025.3600967
Source records
- crossref · retrieved 2026-11-10T18:06:20.463Z