Anomaly Detection in a Micro-CHP Using Convolutional Autoencoders and Fine Tuning for Domain Adaptation.
Piero DantiAlessandro InnocentiPublished in: ICSRS (2023)
Keyphrases
- domain adaptation
- anomaly detection
- fine tuning
- intrusion detection
- cross domain
- network intrusion detection
- anomalous behavior
- detecting anomalies
- multiple sources
- intrusion detection system
- transfer learning
- network traffic
- semi supervised
- sentiment classification
- test data
- semi supervised learning
- labeled data
- training data
- one class support vector machines
- document classification
- target domain
- unsupervised learning
- detect anomalies
- negative selection algorithm
- unlabeled data
- information retrieval