Editorial Deep Learning for Anomaly Detection.
Guansong PangCharu AggarwalChunhua ShenNicu SebePublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- anomalous behavior
- network intrusion detection
- machine learning
- one class support vector machines
- mental models
- network anomaly detection
- network traffic
- intrusion detection system
- weakly supervised
- detect anomalies
- decision support
- supervised learning
- negative selection algorithm
- data sets
- text classification
- natural language
- reinforcement learning
- image processing
- neural network