Two-Level Attention Model of Representation Learning for Fraud Detection-Reference-Cited by-同舟云学术

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Two-Level Attention Model of Representation Learning for Fraud Detection

Published:2021-12 Issue:6 Volume:8 Page:1291-1301
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Cao Ruihao^ORCID,Liu Guanjun^ORCID,Xie Yu^ORCID,Jiang Changjun^ORCID

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/9632444/09421373.pdf?arnumber=9421373

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection;IEEE Transactions on Artificial Intelligence;2024-08

2. Flexible Dual-Branch Siamese Network: Learning Location Quality Estimation and Regression Distribution for Visual Tracking;IEEE Transactions on Computational Social Systems;2024-02

3. Enhancing Going Concern Prediction With Anchor Explainable AI and Attention-Weighted XGBoost;IEEE Access;2024

4. A Distributed Knowledge Distillation Framework for Financial Fraud Detection Based on Transformer;IEEE Access;2024

5. A study on financial early warning for technology companies incorporating big data and random forest algorithms;International Journal of Grid and Utility Computing;2024

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