Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms.
Marco VannucciValentina CollaPublished in: EANN (2019)
Keyphrases
- self organizing maps
- imbalanced datasets
- genetic algorithm
- neural network
- cost sensitive learning
- decision trees
- ensemble methods
- class distribution
- unsupervised learning
- sampling methods
- class imbalance
- imbalanced data
- fuzzy logic
- training dataset
- simulated annealing
- input data
- feature selection algorithms
- artificial neural networks
- fitness function
- cost sensitive
- data streams
- image processing
- active learning
- missing values
- genetic algorithm ga
- fraud detection
- learning algorithm
- face recognition
- training data