Self-Organizing Maps for Contrastive Embeddings of Sleep Recordings.
Iris A. M. HuijbenArthur A. NijdamLieke W. A. HermansSebastiaan OvereemMerel M. van GilstRuud J. G. van SlounPublished in: EMBC (2022)
Keyphrases
- self organizing maps
- apnea hypopnea
- neural network
- competitive learning
- sleep stage
- sleep apnea
- unsupervised learning
- neural gas
- manifold learning
- input data
- som neural network
- low dimensional
- dimensionality reduction
- topology preserving
- k means
- eeg signals
- feature maps
- computer vision
- network anomaly detection
- feature vectors
- reinforcement learning