A Deep Learning Approach to Anomaly Detection in Nuclear Reactors.
Francesco CaliváFabio De Sousa RibeiroAntonios MylonakisChristophe DemazièrePaolo VinaiGeorgios LeontidisStefanos D. KolliasPublished in: IJCNN (2018)
Keyphrases
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- unsupervised feature learning
- network traffic
- detecting anomalies
- anomalous behavior
- network intrusion detection
- machine learning
- intrusion detection system
- network anomaly detection
- mental models
- object recognition
- semi supervised
- pattern recognition
- negative selection algorithm
- learning algorithm
- computer vision
- weakly supervised
- image segmentation
- feature extraction
- dimensionality reduction
- data mining