Classical and Deep Learning Classifiers for Anomaly Detection-Reference-Cited by-同舟云学术

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Classical and Deep Learning Classifiers for Anomaly Detection

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST)
language:
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Author:

Raza Manahil,Qayyum Usman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8665866/8666961/08667245.pdf?arnumber=8667245

Cited by 10 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. Time series forecasting and anomaly detection using deep learning;Computers & Chemical Engineering;2024-03

2. Investigating the effectiveness of one-class and binary classification for fraud detection;Journal of Big Data;2023-10-12

3. Comparative analysis of binary and one-class classification techniques for credit card fraud data;Journal of Big Data;2023-07-17

4. Credit card fraud detection using ensemble data mining methods;Multimedia Tools and Applications;2023-03-09

5. Combination of Ensemble Data Mining Methods for Detecting Credit Card Fraud Transactions;Signal and Data Processing;2023-03-01

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