A survey on pre-training requirements for deep learning models to detect obstructive sleep apnea events.
Ángel Serrano AlarcónMaksym GaidukNatividad Martínez MadridRalf SeepoldPublished in: KES (2023)
Keyphrases
- learning models
- sleep apnea
- obstructive sleep apnea
- machine learning
- learning tasks
- learning algorithm
- loss function
- machine learning algorithms
- conditional random fields
- learning problems
- semi supervised learning
- supervised learning
- classification models
- training set
- automatic analysis
- higher order
- data sets
- decision trees
- computer vision
- probabilistic model
- reinforcement learning