FSADA, an anomaly detection approach
Mining tensor data
Sleep Analytics and Online Selective Anomaly Detection
Multi-criteria Anomaly Detection using Pareto Depth Analysis
A LRT Framework for Fast Spacial Anomaly Detection
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Machine Learning for Intrusion Detection
Detecting Moving Object Outliers In Massive-Scale Trajectory Streams
Analyzing raw log files to find execution anomalies
Multi-instance multi-label learning in the presence of novel class instances