Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks.
Ali BehrouzMargo I. SeltzerPublished in: MLHC (2023)
Keyphrases
- anomaly detection
- inductive learning
- human brain
- information processing
- intrusion detection
- knowledge acquisition
- anomalous behavior
- machine learning
- detecting anomalies
- network traffic
- one class support vector machines
- intrusion detection system
- brain images
- detect anomalies
- white matter
- network intrusion detection
- negative selection algorithm
- network anomaly detection
- inductive logic programming
- real world
- unsupervised learning
- co occurrence
- data analysis
- computational intelligence
- information extraction
- query processing
- functional magnetic resonance imaging
- pairwise
- image processing
- artificial intelligence
- databases