ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets.
Kristian SchultzSaptarshi BejWaldemar HahnMarkus WolfienPrashant SrivastavaOlaf WolkenhauerPublished in: Pattern Recognit. (2024)
Keyphrases
- supervised learning
- learning algorithm
- discriminative learning
- unsupervised learning
- class imbalance
- incremental learning
- binary classification problems
- imbalanced data sets
- data sets
- learning problems
- image classification
- classification accuracy
- decision trees
- feature selection
- multi class
- training samples
- machine learning algorithms
- classification algorithm
- learning tasks
- feature vectors
- classification models
- feature space
- learning phase
- cost sensitive learning
- reinforcement learning
- imbalanced datasets