AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

标题
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
作者
关键词
Deep learning, Ensemble models, Adaboost, Imbalanced data, Transfer learning
出版物
NEUROCOMPUTING
Volume 404, Issue -, Pages 351-366
出版商
Elsevier BV
发表日期
2020-05-12
DOI
10.1016/j.neucom.2020.03.064

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