A Novel Classification Method Based on Stacking Ensemble for Imbalanced Problems-Reference-Cited by-同舟云学术

A Novel Classification Method Based on Stacking Ensemble for Imbalanced Problems

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Zengshuai¹^ORCID,Zheng Minhua²^ORCID,Liu Peter Xiaoping³^ORCID

Affiliation:

1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China

2. School of Mechanical, Electronic and Control Engineering and the Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology, Ministry of Education, Beijing Jiaotong University, Beijing, China

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

Funder

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10135151.pdf?arnumber=10135151

Reference48 articles.

1. Neighbourhood-based undersampling approach for handling imbalanced and overlapped data

2. Using random forest to learn imbalanced data;chen,2004

3. Precise Undersampling Theorems

4. Ensemble learning Dengan metode smote bagging pada klasifikasi data tidak seimbang;siringoringo;Inf Syst Dev,2018

5. Gaussian Distribution Based Oversampling for Imbalanced Data Classification

Cited by 4 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. A new data complexity measure for multi-class imbalanced classification tasks;Pattern Recognition;2025-01

2. Processing imbalanced medical data at the data level with assisted-reproduction data as an example;BioData Mining;2024-09-04

3. Rolling Bearing Fault Diagnosis Under Data Imbalance and Variable Speed Based on Adaptive Clustering Weighted Oversampling;Reliability Engineering & System Safety;2024-04

4. Software Fault Prediction Using Optimal Classifier Selection: An Ensemble Approach;Procedia Computer Science;2024