On the Impact of Imbalanced Data in Convolutional Neural Networks Performance.
Francisco Javier PulgarAntonio J. RiveraFrancisco CharteMaría José del JesusPublished in: HAIS (2017)
Keyphrases
- imbalanced data
- convolutional neural networks
- learning from imbalanced data
- linear regression
- imbalanced datasets
- classification models
- class distribution
- random forest
- sampling methods
- support vector machine
- ensemble methods
- feature selection
- class imbalance
- high dimensionality
- multi class
- similarity measure
- decision trees