Temporal Self-Attentional and Adaptive Graph Convolutional Mixed Model for Sleep Staging

Computer Science

• Adaptive Learning 50%
• Adjacency Matrix 50%
• Attention (Machine Learning) 50%
• Classification Stage 50%
• Contributing Factor 50%
• Dynamic Programming Algorithm 50%
• Extracted Feature 50%
• Feature Extraction 100%
• Kappa Coefficient 50%
• Paramount Importance 50%
• Spatial Information 50%
• Temporal Characteristic 50%
• Temporal Context 100%

Neuroscience

• Sleep Studies 100%

Psychology

• Polysomnography 25%