Handling Imbalanced Data using Ensemble Learning in Software Defect Prediction-Reference-Cited by-同舟云学术

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Handling Imbalanced Data using Ensemble Learning in Software Defect Prediction

Published:2020-01 Issue: Volume: Page:
ISSN:
Container-title:2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Malhotra Ruchika,Jain Juhi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9049530/9057798/09058124.pdf?arnumber=9058124

Cited by 19 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. The untold impact of learning approaches on software fault-proneness predictions: an analysis of temporal aspects;Empirical Software Engineering;2024-06-08

2. A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs;Computational Management Science;2024-02-19

3. Analyzing Oversampling and Machine Learning Approaches for Imbalanced Dataset Classification;2023 IEEE 21st Student Conference on Research and Development (SCOReD);2023-12-13

4. The Effectiveness of Resampling Method for Handling Class Imbalances in Software Defect Prediction;2023 International Conference on Information Technology Research and Innovation (ICITRI);2023-08-16

5. SMOTE-Based Homogeneous Prediction for Aging-Related Bugs in Cloud-Oriented Software;Journal of Information & Knowledge Management;2023-07-25

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