ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System.
Maryam Qasim GandapurElena VerdúPublished in: Int. J. Interact. Multim. Artif. Intell. (2023)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- real world
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- machine learning
- network anomaly detection
- network traffic
- data sets
- mental models
- negative selection algorithm
- data mining
- one class support vector machines
- weakly supervised
- supervised learning
- intrusion detection system
- detect anomalies
- computer vision
- dimensionality reduction
- co occurrence
- support vector machine