Enhancing anomaly detection performance in imbalanced datasets using a deep generative model and Tomeklinks approach

Data imbalance is a problem in machine learning. Unbalanced classes cause a common problem in machine classification, where there is a disproportionate ratio within each class. Data imbalance results in a decrease in model quality, where the model can provide high accuracy but only applies to the ma...

書誌詳細
第一著者:	Barkah, Azhari Shouni
フォーマット:	学位論文
言語:	英語英語
出版事項:	2025
主題:	Q Science QA Mathematics
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/29011/
Abstract	Abstract here

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