Deep Learning for Medical Anomaly Detection - A Survey.
Tharindu FernandoHarshala GammulleSimon DenmanSridha SridharanClinton FookesPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- machine learning
- network traffic
- detecting anomalies
- unsupervised feature learning
- network intrusion detection
- intrusion detection system
- one class support vector machines
- network anomaly detection
- mental models
- detect anomalies
- reinforcement learning
- weakly supervised
- negative selection algorithm
- domain specific
- dimensionality reduction
- pattern recognition
- real world