Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances.
Martin MacasNela GrimováVáclav GerlaLenka LhotskáPublished in: UCAmI (2019)
Keyphrases
- semi automated
- sleep stage
- active learning
- sleep apnea
- fully automated
- eeg signals
- unlabeled instances
- hidden markov models
- supervised learning
- labeled instances
- semi supervised
- active learning framework
- machine learning
- randomly generated
- pool based active learning
- batch mode
- learning strategies
- training examples
- learning algorithm
- random sampling
- transfer learning
- labeling effort
- obstructive sleep apnea
- experimental design
- cost sensitive
- semi supervised learning
- labeled data
- learning process
- training set
- test instances
- training instances
- crowd sourced