MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams-Reference-Cited by-同舟云学术

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MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams

Published:2023-04 Issue: Volume:161 Page:525-534
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Peng Xinyu,Wang Fei-Yue,Li Li

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference74 articles.

1. Behavioral analysis of insider threat: A survey and bootstrapped prediction in imbalanced data;Azaria;IEEE Transactions on Computational Social Systems,2014

2. GOS-IL: A generalized over-sampling based online imbalanced learning framework;Barua,2015

3. C-smote: Continuous synthetic minority oversampling for evolving data streams;Bernardo,2020

4. ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams;Cano;Machine Learning,2022

5. SMOTE: synthetic minority over-sampling technique;Chawla;Journal of Artificial Intelligence Research,2002

Cited by 1 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. Imbalanced Data Over-Sampling Method Based on ISODATA Clustering;IEICE Transactions on Information and Systems;2023-09-01

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