A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions.
Peng YanAhmed AbdulkadirMatthias RosenthalGerrit A. SchatteBenjamin F. GreweThilo StadelmannPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- transfer learning
- intrusion detection
- network intrusion detection
- object recognition
- knowledge transfer
- prior knowledge
- probabilistic model
- intrusion detection system
- labeled data
- cross domain learning
- semi supervised learning
- data sets
- model selection
- text mining
- high dimensional
- machine learning
- data mining