Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks.
Franz AndersAmmie K. KalanHjalmar S. KühlMirco FuchsPublished in: CoRR (2021)
Keyphrases
- recurrent neural networks
- class imbalance
- class distribution
- active learning
- recurrent networks
- feed forward
- cost sensitive
- neural network
- artificial neural networks
- sampling methods
- concept drift
- feature selection
- cost sensitive learning
- imbalanced datasets
- high dimensionality
- echo state networks
- minority class
- ensemble methods
- small number
- data analysis
- feature extraction