High-dimensional imbalanced biomedical data classification based on P-AdaBoost-PAUC algorithm

Author:

Li Xiao,Li Kewen

Funder

The major project of National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Cited by 6 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 hybrid feature weighting and selection-based strategy to classify the high-dimensional and imbalanced medical data;Neural Computing and Applications;2024-04-20

2. An optimized AdaBoost algorithm with atherosclerosis diagnostic applications: adaptive weight-adjustable boosting;The Journal of Supercomputing;2024-03-02

3. Class Imbalance of Bio-Medical Data by Using PCA-Near Miss for Classification;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Alzheimer's Disease Early Diagnosis Based on Resting-State Dynamic Functional Connectivity;Proceedings of the 2023 12th International Conference on Software and Computer Applications;2023-02-23

5. Similar classes latent distribution modelling-based oversampling method for imbalanced image classification;The Journal of Supercomputing;2023-01-28

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