Adversarial Multi-Task Learning for Robust End-to-End ECG-based Heartbeat Classification.
Mostafa Ali ShahinEthan OoBeena AhmedPublished in: EMBC (2020)
Keyphrases
- end to end
- multi task learning
- text localization and recognition
- multi task
- multiple tasks
- ecg signals
- learning tasks
- binary classification tasks
- congestion control
- classification accuracy
- machine learning
- classification models
- feature vectors
- real world
- supervised learning
- learning algorithm
- heart rate
- support vector
- gaussian processes
- training set
- learning problems
- cross validation
- class labels
- machine learning algorithms
- unsupervised learning
- image classification
- prior knowledge
- support vector machine
- transfer learning
- decision trees
- feature selection
- social networks