Anomaly Detection for Industrial Inspection using Convolutional Autoencoder and Deep Feature-based One-class Classification.
Jamal SaeediAlessandro GiustiPublished in: VISIGRAPP (5: VISAPP) (2022)
Keyphrases
- anomaly detection
- restricted boltzmann machine
- novelty detection
- deep learning
- deep belief networks
- unsupervised learning
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- network traffic
- unsupervised anomaly detection
- probabilistic graphical models
- machine learning
- detect anomalies
- detecting anomalous
- computer security
- behavior analysis
- network anomaly detection
- network security
- connectionist systems
- learning algorithm
- network intrusion
- transfer learning
- pattern recognition