Combining Registration Errors and Supervoxel Classification for Unsupervised Brain Anomaly Detection.
Samuel Botter MartinsAlexandre Xavier FalcãoAlexandru Cristian TeleaPublished in: BIOSTEC (Selected Papers) (2020)
Keyphrases
- anomaly detection
- unsupervised learning
- novelty detection
- unsupervised anomaly detection
- intrusion detection
- supervised learning
- registration errors
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- pattern recognition
- network anomaly detection
- network security
- semi supervised
- text classification
- pattern classification
- intrusion detection system
- negative selection algorithm
- detecting anomalous
- decision trees
- human brain
- data sets
- feature space
- machine learning
- support vector machine
- training set
- one class support vector machines
- support vector
- feature selection