Hybrid SMS Spam Filtering System Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Hybrid SMS Spam Filtering System Using Machine Learning Techniques

Published:2020-11-28 Issue: Volume: Page:
ISSN:
Container-title:2020 21st International Arab Conference on Information Technology (ACIT)
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Author:

Baaqeel Hind,Zagrouba Rachid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9299884/9299962/09300071.pdf?arnumber=9300071

Cited by 18 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. Machine Learning-Based Solution for SMS Spam Detection Problem;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13

2. Dynamic Function Generation for Text Classification;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

3. Next-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification;Electronics;2024-05-23

4. Detection of Korean Phishing Messages Using Biased Discriminant Analysis under Extreme Class Imbalance Problem;Information;2024-05-07

5. An improved transformer‐based model for detecting phishing, spam and ham emails: A large language model approach;SECURITY AND PRIVACY;2024-04-24

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