研究论文
Adaptive multi-objective swarm fusion for imbalanced data classification
Jinyan Li, Simon Fong, Raymond K. Wong, Victor W. Chu
University of Macau UNSW Sydney
来源Information Fusion
年份2017
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学术脉络
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计算机 / AIImbalanced Data Classification Techniques
Electricity Theft Detection Techniques · Face and Expression Recognition
参考文献 85
Class-Boundary Alignment for Imbalanced Dataset Learning
被引 320Gang Wu, Edward Yi Chang · 2003
Learning from Imbalanced Data Sets: A Comparison of Various Strategies *
被引 453Nathalie Japkowicz · 2000
Toward scalable learning with non-uniform class and cost distributions: a case study in credit card fraud detection
被引 448Philip K. Chan, Salvatore J. Stolfo · 1998
此处列出前 3 条
引用本文 106
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
被引 2,220Alberto Fernández, Salvador García, Francisco Herrera · Journal of Artificial Intelligence Research · 2018
A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data
被引 299Zhaozhao Xu, Derong Shen, Tiezheng Nie · Journal of Biomedical Informatics · 2020
An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets
被引 289György Kovács · Applied Soft Computing · 2019
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