Comparison of Deep and Traditional Learning Methods for Email Spam Filtering
Author:
Publisher
The Science and Information Organization
Subject
General Computer Science
Link
http://thesai.org/Downloads/Volume12No1/Paper_64-Comparison_of_Deep_and_Traditional_Learning_Methods.pdf
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. Explainable AI-based Framework for Efficient Detection of Spam from Text using an Enhanced Ensemble Technique;Engineering, Technology & Applied Science Research;2024-08-02
2. Effective Spam Detection with Machine Learning;Croatian Regional Development Journal;2023-12-01
3. A comprehensive dual-layer architecture for phishing and spam email detection;Computers & Security;2023-10
4. Comparing Deep Learning and Traditional ML for Detecting Spam and Trolls on Video Sharing Sites;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14
5. Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31
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