A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation.
Theekshana DissanayakeTharindu FernandoSimon DenmanSridha SridharanHouman GhaemmaghamiClinton FookesPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- segmentation algorithm
- network intrusion detection
- intrusion detection system
- segmentation method
- feature space
- multiscale
- one class support vector machines
- support vector machine
- image segmentation
- negative selection algorithm
- feature selection
- machine learning
- medical images
- supervised learning
- shape prior
- detect anomalies
- learning algorithm
- higher order
- training set
- training data
- decision trees
- normal behavior
- data sets