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

Research article (Neurocomputing, 2020) · cited 274× · AI/ML
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AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

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AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neural-networks-to-classify-multi-class-imbalanced-dataset
MLA “AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neural-networks-to-classify-multi-class-imbalanced-dataset.
BibTeX @misc{4ortxyz_adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neural-networks-to-classify-multi-class-imbalanced-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning}}, year = {2026}, url = {https://4ort.xyz/entity/adaboost-cnn-an-adaptive-boosting-algorithm-for-convolutional-neural-networks-to-classify-multi-class-imbalanced-dataset}, note = {Accessed: 2026-05-24}}
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