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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

An enhanced LSTM architecture for financial fraud detection with temporal attention, intermediary memory, and camouflage detection

  • Samiyeh Khosravi
  • Javad Hassannataj Joloudari
  • Hamid Saadatfar
  • Shokufeh Yaraghi
  • Mohammad Zavvar
  • Shayan Chegeni Zadeh
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{khosravi2026enhanced,
  title = {{An enhanced LSTM architecture for financial fraud detection with temporal attention, intermediary memory, and camouflage detection}},
  author = {Samiyeh Khosravi and Javad Hassannataj Joloudari and Hamid Saadatfar and Shokufeh Yaraghi and Mohammad Zavvar and Shayan Chegeni Zadeh},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76045-3},
  url = {https://www.nature.com/articles/s41598-026-76045-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - An enhanced LSTM architecture for financial fraud detection with temporal attention, intermediary memory, and camouflage detection
AU  - Samiyeh Khosravi
AU  - Javad Hassannataj Joloudari
AU  - Hamid Saadatfar
AU  - Shokufeh Yaraghi
AU  - Mohammad Zavvar
AU  - Shayan Chegeni Zadeh
PY  - 2026
DA  - 2026/10/14
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76045-3
UR  - https://www.nature.com/articles/s41598-026-76045-3
SN  - 2045-2322
ER  -