Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography.
Yaojia ZhengZhouwu LiuRong MoZiyi ChenWei-Shi ZhengRuixuan WangPublished in: MICCAI (8) (2022)
Keyphrases
- anomaly detection
- intrusion detection
- connectionist systems
- unsupervised learning
- learning process
- learning algorithm
- active learning
- supervised learning
- anomalous behavior
- network intrusion detection
- network anomaly detection
- genetic algorithm
- reinforcement learning
- behavior analysis
- decision trees
- one class support vector machines
- network security
- learning problems
- pattern recognition
- computer systems
- high dimensional