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Credit card fraud detection based on federated graph learning
With the widespread popularity of credit card payments, cases of credit card fraud have
increased, driving the continuous development of fraud detection technology. Utilizing …
increased, driving the continuous development of fraud detection technology. Utilizing …
rPPG-HiBa: Hierarchical Balanced Framework for Remote Physiological Measurement
Remote photoplethysmography (rPPG) is a promising technique for non-contact
physiological signal measurement. It has great potential applications in human health …
physiological signal measurement. It has great potential applications in human health …
Semi-supervised filter feature selection based on natural Laplacian score and maximal information coefficient
As a crucial preprocessing step in data mining, feature selection aims to obtain an excellent
feature set, so as to improve the accuracy of classifiers and reduce the training time. This …
feature set, so as to improve the accuracy of classifiers and reduce the training time. This …
A Lightweight De-confounding Transformer for Image Captioning in Wearable Assistive Navigation Device
Image captioning is a multi-modal task that enables the transformation from scene images to
natural language, providing valuable insights for visually impaired individuals to understand …
natural language, providing valuable insights for visually impaired individuals to understand …
Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
H Yeonjeong, H Kang, H Kim - IEEE Access, 2024 - ieeexplore.ieee.org
Credit card fraud detection remains a significant challenge in the financial industry,
necessitating advanced models to identify fraudulent activities while minimizing false …
necessitating advanced models to identify fraudulent activities while minimizing false …
Guest Editorial: Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security
The innovations in technologies have led to the emergence of digital finance such as online
payment, online insurance, online lending, and supply chain finance. Digital finance has …
payment, online insurance, online lending, and supply chain finance. Digital finance has …
Istacking: An Iterative Stacking Model to Handle Imbalance Classification Problems
S Yan, Z Zhao, S Liu, MC Zhou - Available at SSRN 4803360 - papers.ssrn.com
Ensemble imbalanced learning is based on an ensemble model framework to deal with
imbalanceproblems. Related models are highly competitive and widely applied in many …
imbalanceproblems. Related models are highly competitive and widely applied in many …