Siyuan Zhao

SelectiveFinetuning: Enhancing Transfer Learning In Sleep Staging Through Selective Domain Alignment

In practical sleep stage classification, a key challenge is the variability of EEG data across different subjects and environments. Differences in physiology, age, health status, and recording conditions can lead to domain shifts between data. These domain shifts often result in decreased model accu…