Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach.
Janire OtamendiAsier ZubizarretaEva PortilloPublished in: Neural Comput. Appl. (2023)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- unsupervised learning
- unsupervised anomaly detection
- network traffic
- anomalous behavior
- pattern recognition
- detecting anomalous
- one class support vector machines
- network security
- learning algorithm
- behavior analysis
- information extraction
- detect anomalies
- intrusion detection system
- feature selection
- data mining
- computer security
- decision trees
- computational intelligence
- text mining
- computer vision
- active learning
- learning process
- reinforcement learning
- data sets
- model selection
- network intrusion
- natural language processing