f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
Thomas SchleglPhilipp SeeböckSebastian M. WaldsteinGeorg LangsUrsula Schmidt-ErfurthPublished in: Medical Image Anal. (2019)
Keyphrases
- unsupervised anomaly detection
- anomaly detection
- social networks
- network analysis
- computer networks
- generative model
- intrusion detection
- heterogeneous networks
- complex networks
- machine learning
- multi agent
- semi supervised
- network structure
- active learning
- data analysis
- community structure
- pattern recognition
- network model
- discriminative learning
- network size
- learning algorithm