A transfer weighted extreme learning machine for imbalanced classification-Reference-Cited by-同舟云学术

A transfer weighted extreme learning machine for imbalanced classification

Published:2022-05-02 Issue:10 Volume:37 Page:7685-7705
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Guo Yinan¹²^ORCID,Jiao Botao²^ORCID,Tan Ying³,Zhang Pei²,Tang Fengzhen⁴⁵

Affiliation:

1. School of Mechanical Electronic and Information Engineering China University of Mining and Technology (Beijing) Beijing China

2. School of Information and Control Engineering China University of Mining and Technology Xuzhou China

3. School of Artificial Intelligence, Key Laboratory of Machine Perceptron (MOE), Institute for Artificial Intellignce Peking University Beijing China

4. State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

5. Institute for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

Funder

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22899

Reference59 articles.

1. A Fraud Detection Approach with Data Mining in Health Insurance

2. Feature selection with kernelized multi-class support vector machine

3. A Data-Driven Approach to Manage the Length of Stay for Appendectomy Patients

4. A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data

5. A Review of Class Imbalance Learning Methods in Bioinformatics

Cited by 7 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. Robust online active learning with cluster-based local drift detection for unbalanced imperfect data;Applied Soft Computing;2024-11

2. Residual deep fuzzy system with randomized fuzzy modules for accurate time series forecasting;Neural Computing and Applications;2024-04-19

3. Amplitude-based multiscale reverse dispersion entropy: a novel approach to bearing fault diagnosis;Structural Health Monitoring;2024-01-18

4. A comprehensive review of extreme learning machine on medical imaging;Neurocomputing;2023-11

5. Model architecture level privacy leakage in neural networks;Science China Information Sciences;2023-10-17