Email Spam Detection Using Multi-head CNN-BiGRU Network
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28180-8_3
Reference37 articles.
1. Email usage statistics 2022: How many people use email? https://wpdevshed.com/email-usage-statistics/. Accessed 01 May 2022
2. Catastrophic interference. https://en.wikipedia.org/wiki/Catastrophic_interference. Accessed 10 Aug 2022
3. Kaya, Y., Ertuğrul, F.: A novel approach for spam email detection based on shifted binary patterns. Secur. Commun. Netw. 9(10), 1216–1225 (2016)
4. Wijaya, A., Bisri, A.: Hybrid decision tree and logistic regression classifier for email spam detection. In: 8th International Conference on Information Technology and Electrical Engineering (ICITEE) (2016)
5. Gashti, M.Z.: Detection of spam email by combining harmony search algorithm and decision tree. Eng. Technol. Appl. Sci. Res. 7, 1713–1718 (2017)
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1. GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm;International Journal of Information Technology;2023-09-29
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