A Spam Transformer Model for SMS Spam Detection-Reference-Cited by-同舟云学术

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A Spam Transformer Model for SMS Spam Detection

Published:2021 Issue: Volume:9 Page:80253-80263
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Xiaoxu^ORCID,Lu Haoye^ORCID,Nayak Amiya^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09433507.pdf?arnumber=9433507

Cited by 49 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. Bengali fake reviews: A benchmark dataset and detection system;Neurocomputing;2024-08

2. A semantic-based model with a hybrid feature engineering process for accurate spam detection;Journal of Electrical Systems and Information Technology;2024-07-15

3. A novel deep learning model-based optimization algorithm for text message spam detection;The Journal of Supercomputing;2024-05-02

4. A Review of Advancements and Applications of Pre-Trained Language Models in Cybersecurity;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

5. Design tactics for tailoring transformer architectures to cybersecurity challenges;Cluster Computing;2024-04-24

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