Anomaly detection in genomic catalogues using unsupervised multi-view autoencoders.
Quentin FerréJeanne ChènebyDenis PuthierCécile CapponiBenoît BallesterPublished in: BMC Bioinform. (2021)
Keyphrases
- multi view
- anomaly detection
- unsupervised anomaly detection
- semi supervised
- unsupervised learning
- single view
- intrusion detection
- multiple views
- denoising
- depth map
- detecting anomalies
- network intrusion detection
- d objects
- anomalous behavior
- network traffic
- intrusion detection system
- multi view clustering
- multi view learning
- three dimensional
- supervised learning
- semi supervised learning
- labeled data
- pairwise
- one class support vector machines
- network anomaly detection
- multi view face detection
- active learning
- normal behavior
- decision trees
- unlabeled data