Ensemble based on feature projection and under-sampling for imbalanced learning-Reference-Cited by-同舟云学术

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Ensemble based on feature projection and under-sampling for imbalanced learning

Published:2018-09-26 Issue:5 Volume:22 Page:959-980
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Guo Huaping¹,Zhou Jun¹,Wu Chang-an¹,She Wei²,Xu Mingliang³

Affiliation:

1. School of Computer and Information Technology, Xinyang Normal University, Xinyang 464000, Henan, China

2. School of Information Software Technology, Zhengzhou Uninversity, Zhengzhou 450001, Henan, China

3. School of Information Engineering, Zhengzhou Uninversity, Zhengzhou 450001, Henan, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference42 articles.

1. Ensembles of α-Trees for Imbalanced Classification Problems;Park;IEEE Transactions on Knowledge and Data Engineering,2014

2. Learning from imbalanced Data;He;IEEE Transactions on Knowledge and Data Engineering,2009

3. H. He and Y. Ma, Eds, Imbalanced Learning: Foundations, Algorithms, and Applications, Wiley-IEEE, 2013.

4. Instance-based ensemble pruning for imbalanced learning;Zhi;Intelligent Data Analysis,2015

5. New applications of ensembles of classifiers;Barandela;Pattern Analysis and Applications,2003

Cited by 3 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. Optimization of SMOTE for imbalanced data based on AdaRBFNN and hybrid metaheuristics;Intelligent Data Analysis;2021-04-20

2. A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI;Intelligent Data Analysis;2020-07-15

3. Sequential prediction for imbalanced data stream via weighted OS-ELM and dynamic GAN;Intelligent Data Analysis;2019-11-08

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