Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery.
Thomas SchleglPhilipp SeeböckSebastian M. WaldsteinUrsula Schmidt-ErfurthGeorg LangsPublished in: CoRR (2017)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- network structure
- multi agent
- complex networks
- network size
- generative model
- social networks
- scientific discovery
- network design
- computer networks
- intrusion detection
- data mining
- unsupervised learning
- data driven
- network analysis
- network model
- pairwise
- pattern recognition
- image segmentation