Detecting potential labeling errors for bioinformatics by multiple voting

Author:

Guan Donghai,Yuan Weiwei,Ma Tinghuai,Lee Sungyoung

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Cited by 12 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. Cost-sensitive probability for weighted voting in an ensemble model for multi-class classification problems;Applied Intelligence;2021-01-06

2. A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data;IFIP Advances in Information and Communication Technology;2021

3. A mixed solution-based high agreement filtering method for class noise detection in binary classification;Physica A: Statistical Mechanics and its Applications;2020-09

4. Interpreting Deep Models through the Lens of Data;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

5. Enhanced Label Noise Filtering with Multiple Voting;Applied Sciences;2019-11-21

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