A Modular Deep Learning Architecture for Anomaly Detection in HRI.
Gergely SótiIlshat MamaevBjörn HeinPublished in: ICR (2020)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- human robot interaction
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- one class support vector machines
- network anomaly detection
- machine learning
- service robots
- supervised learning
- network traffic
- mental models
- intrusion detection system
- negative selection algorithm
- human computer interaction
- semi supervised
- pattern recognition
- humanoid robot
- detect anomalies
- weakly supervised
- active learning
- face recognition
- neural network
- data sets