Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings.
Tomás SabataMartin HolenaPublished in: IAL@PKDD/ECML (2020)
Keyphrases
- anomaly detection
- active learning
- intrusion detection
- anomalous behavior
- network anomaly detection
- training set
- detecting anomalies
- network intrusion detection
- recurrent neural networks
- unsupervised anomaly detection
- network traffic
- intrusion detection system
- learning algorithm
- behavior analysis
- detecting anomalous
- semi supervised
- network security
- unsupervised learning
- computer security
- supervised learning
- one class support vector machines
- learning process
- transfer learning
- normal behavior
- data assimilation
- machine learning