Paradigm Shift from Feature-Based Machine Learning to End-to-End Deep Residual Neural Networks for Pediatric Age Classification from 12-Lead ECG.
Junmo AnBen BaileyRichard E. GreggPublished in: CinC (2023)
Keyphrases
- end to end
- machine learning
- paradigm shift
- pattern recognition
- neural network
- decision trees
- wireless ad hoc networks
- machine learning algorithms
- text localization and recognition
- support vector machine
- admission control
- congestion control
- feature selection
- multipath
- content delivery
- ad hoc networks
- rate allocation
- feature vectors
- high bandwidth
- domain driven
- human learning
- neural network model
- reinforcement learning
- peer to peer
- rule sets
- scalable video
- real time