Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model

Computer Science

• Adversarial Machine Learning 100%
• Network Target 100%
• Deep Learning Model 50%
• Training Model 50%
• noise signal 50%
• Testing Environment 50%
• Experimental Result 50%
• Healthy Control 50%
• Deep Learning Method 50%
• Pre-Trained Model 50%

Engineering

• Target Network 100%
• Deep Learning Method 100%
• Experimental Result 50%
• Gaussian White Noise 50%
• Shot Noise 50%
• Noise Level 50%
• Input Case 50%
• Healthy Control 50%

Chemical Engineering

• Auxiliaries 100%
• Deep Learning Method 66%