2020
DOI: 10.1007/978-3-030-41964-6_29
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On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream

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Cited by 4 publications
(1 citation statement)
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“…For biomedical applications, Huang et al [48] used a bagging classification tree to classify G-protein coupled receptors and achieved good performance. Similarly, Hayder et al [49] used an adaptive bagging method on a biomedical data stream. In the QA system, the ensemble method is also used to solve sub-problems, such as using the bagging method to learn the relevant label information, to improve the performance of the QA system [50].…”
Section: Related Workmentioning
confidence: 99%
“…For biomedical applications, Huang et al [48] used a bagging classification tree to classify G-protein coupled receptors and achieved good performance. Similarly, Hayder et al [49] used an adaptive bagging method on a biomedical data stream. In the QA system, the ensemble method is also used to solve sub-problems, such as using the bagging method to learn the relevant label information, to improve the performance of the QA system [50].…”
Section: Related Workmentioning
confidence: 99%