Deep multiview clustering provides an efficient way to analyze the data consisting of multiple modalities and features. Recently, the autoencoder (AE)-based deep multiview clustering algorithms have ...

The success of supervised learning requires large- scale ground truth labels which are very expensive, time- consuming, or may need special skills to annotate. To address this issue, many self- or ...

Background: Few studies have explored the relationship between macronutrient intake and sleep outcomes using daily data from mobile apps. Objective: This cross-sectional study aimed to examine the ...