A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients.
V. Ashley VillarMiles D. CranmerEdo BergerGabriella ContardoShirley HoGriffin HosseinzadehJoshua Yao-Yu LinPublished in: CoRR (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- network intrusion detection
- network traffic
- anomalous behavior
- machine learning
- detect anomalies
- network anomaly detection
- weakly supervised
- intrusion detection system
- semi supervised
- one class support vector machines
- real world
- supervised learning
- mental models
- bayesian networks
- neural network
- negative selection algorithm
- normal behavior
- image processing
- feature extraction
- data sets