A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data

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A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data

This study investigates the usefulness of the Synthetic Minority Oversampling Technique (SMOTE) in conjunction with convolutional neural network (CNN) models, which include both single and ensemble classifiers. The objective of this research is to handle the difficulty of multi-class imbalanced imag...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	International Journal on Informatics Visualization
المؤلف الرئيسي:	Gao X.; Jamil N.; Ramli M.I.; Ariffin S.M.Z.S.Z.
التنسيق:	مقال
اللغة:	English
منشور في:	Politeknik Negeri Padang 2024
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189610439&doi=10.62527%2fjoiv.8.1.2194&partnerID=40&md5=fde1ce93c2d09526862bd2a73f948536

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