Compensating class imbalance for acoustic chimpanzee detection with convolutional recurrent neural networks.
Franz AndersAmmie K. KalanHjalmar S. KühlMirco FuchsPublished in: Ecol. Informatics (2021)
Keyphrases
- recurrent neural networks
- class imbalance
- class distribution
- neural network
- cost sensitive
- echo state networks
- recurrent networks
- feed forward
- active learning
- cost sensitive learning
- artificial neural networks
- imbalanced datasets
- high dimensionality
- sampling methods
- multi class
- feature selection
- machine learning
- support vector
- feature extraction
- face recognition
- genetic algorithm
- data sets