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

Aboozar Taherkhani, Georgina Cosma, T. M. McGinnity. AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning. Neurocomputing, 404:351-366, 2020. [doi]

@article{TaherkhaniCM20,
  title = {AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning},
  author = {Aboozar Taherkhani and Georgina Cosma and T. M. McGinnity},
  year = {2020},
  doi = {10.1016/j.neucom.2020.03.064},
  url = {https://doi.org/10.1016/j.neucom.2020.03.064},
  researchr = {https://researchr.org/publication/TaherkhaniCM20},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {404},
  pages = {351-366},
}