Vulnerability Name Prediction Based on Enhanced Multi-Source Domain Adaptation-Reference-Cited by-同舟云学术

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Vulnerability Name Prediction Based on Enhanced Multi-Source Domain Adaptation

Published:2023-11-01 Issue: Volume:33 Page:2115-2121
ISSN:
Container-title:2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Author:

Xing Ying¹,Zhao Mengci¹,Yang Bin²,Zhang Yuwei³,Li Wenjin⁴,Gu Jiawei⁴,Yuan Jun⁴,Xu Lexi²

Affiliation:

1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876

2. China Unicom Research Institute,Beijing,China,100048

3. Peking University,School of Computer Science,Beijing,China,100871

4. NSFOCUS Technologies Group Co., Ltd.,Beijing,China,100089

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538701.pdf?arnumber=10538701

Reference29 articles.

1. Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

2. The impact of using biased performance metrics on software defect prediction research

3. Cross-project software defect prediction based on domain adaptation learning and optimization

4. Recent advances in data-driven wireless communication using Gaussian processes: A comprehensive survey

5. Software Defect Prediction Using Ensemble Learning: A Systematic Literature Review

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