Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks.
Vidwath RajSven MaggStefan WermterPublished in: ANNPR (2016)
Keyphrases
- imbalanced data
- convolutional neural networks
- imbalanced data sets
- class imbalance
- support vector machine
- decision trees
- support vector
- classification accuracy
- feature vectors
- pattern recognition
- class distribution
- linear regression
- imbalanced datasets
- image classification
- decision boundary
- classification models
- svm classifier
- minority class
- cross validation
- multi class
- feature space
- feature extraction
- benchmark datasets
- random forest
- ensemble methods
- high dimensionality
- machine learning
- machine learning algorithms
- support vector machine svm
- model selection
- training set
- feature selection