Kernel-based Class-specific Broad Learning System for software defect prediction-Reference-Cited by-同舟云学术

Kernel-based Class-specific Broad Learning System for software defect prediction

Published:2021-12-10 Issue: Volume: Page:
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Container-title:2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)
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Author:

Chen Wuxing¹,Yang Kaixiang²,Shi Yifan³,Feng Qiying⁴,Zhang Chengxi⁵,Yu Zhiwen⁴

Affiliation:

1. Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China

2. Zhejiang University,College of Control Science and Engineering,Hangzhou,China

3. Huaqiao University,School of Engineering Institute,Quanzhou,China

4. South China University of Technology,Computer Science and Engineering,Guangzhou,China

5. Harbin Institute of Technology,Shenzhen Electronic & Information Engineering,Shenzhen,China

Funder

Department of Natural Resources

National Natural Science Foundation of China

Research and Development

National Key Research and Development Program of China

Publisher

IEEE

Link

Reference35 articles.

4. Borderline-SMOTE: a new over-sampling method in imbalanced data sets learning;han;International Conference on Intelligent Computing,2005

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