Machine Learning with Imbalanced EEG Datasets using Outlier-based Sampling.
Nizar IslahJamie KoernerRoman GenovTaufik A. ValianteGerard O'LearyPublished in: EMBC (2020)
Keyphrases
- machine learning
- imbalanced data
- sampling methods
- imbalanced datasets
- imbalanced class distribution
- machine learning methods
- minority class
- information extraction
- data mining
- class imbalance
- outlier detection
- support vector machine
- text mining
- signal processing
- feature selection
- benchmark datasets
- class distribution
- random sampling
- data sets
- binary classification problems
- decision trees
- eeg signals
- training dataset
- knowledge representation
- pattern recognition
- monte carlo
- active learning
- ensemble methods
- learning problems
- reinforcement learning
- brain computer interface
- data analysis
- cost sensitive learning
- machine learning algorithms
- semi supervised learning
- computer vision
- artificial intelligence