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2020 – today
- 2021
[j3]Zhenchuan Li
, Mian Huang, Guanjun Liu, Changjun Jiang:
A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection. Expert Syst. Appl. 175: 114750 (2021)- 2020
- [j2]Zhenchuan Li, Guanjun Liu, Changjun Jiang:
Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection. IEEE Trans. Comput. Soc. Syst. 7(2): 569-579 (2020) - [j1]Yuxiang Qin, Chungang Yan, Guanjun Liu, Zhenchuan Li, Changjun Jiang:
Pairwise Gaussian Loss for Convolutional Neural Networks. IEEE Trans. Ind. Informatics 16(10): 6324-6333 (2020) - [c6]Shujie Yin, Guanjun Liu, Zhenchuan Li, Chungang Yan, Changjun Jiang:
An Accuracy-and-Diversity-based Ensemble Method for Concept Drift and Its application in Fraud Detection. ICDM (Workshops) 2020: 875-882
2010 – 2019
- 2019
- [c5]Fengjun Zhang, Guanjun Liu, Zhenchuan Li, Chungang Yan, Changjun Jiang:
GMM-based Undersampling and Its Application for Credit Card Fraud Detection. IJCNN 2019: 1-8 - 2018
- [c4]Shiyang Xuan, Guanjun Liu, Zhenchuan Li:
Refined Weighted Random Forest and Its Application to Credit Card Fraud Detection. CSoNet 2018: 343-355 - [c3]Shiyang Xuan, Guanjun Liu, Zhenchuan Li, Lutao Zheng, Shuo Wang, Changjun Jiang:
Random forest for credit card fraud detection. ICNSC 2018: 1-6 - [c2]Shuo Wang, Guanjun Liu, Zhenchuan Li, Shiyang Xuan, Chungang Yan, Changjun Jiang:
Credit Card Fraud Detection Using Capsule Network. SMC 2018: 3679-3684 - [c1]Zhenchuan Li, Guanjun Liu, Shuo Wang, Shiyang Xuan, Changjun Jiang:
Credit Card Fraud Detection via Kernel-Based Supervised Hashing. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 1249-1254
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