multi-view-learning

ConfSleepNet is a conflict-aware evidential framework for reliable sleep stage classification using multi-modal data. It introduces hybrid category structures and a conflict-aware aggregation method to resolve inter-view conflicts, demonstrating effectiveness on sleep staging tasks.