Shared autonomy holds promise for assistive robotics, whereby physically-impaired people
can direct robots to perform various tasks for them. However, a robot that is capable of many …

Detecting and tracking the preclinical stages of Alzheimer's disease (AD) is now of particular
interest due to the aging of the world's population. AD is the most common cause of …

Objective: In this article, we reconstruct the hybrid data with hybrid principal component
analysis (HPCA) as a feature extraction step and model them with functional regression as a …

Background: The bagging (BG) and random forest (RF) are famous supervised statistical
learning methods based on classification and regression trees. The BG and RF can deal …

Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered
breathing have different sleep quality parameters such as cyclic alternating pattern phases …

The bagging (BG) and random forest (RF) are tree-based methods that reduce the variance
of predicted models by averaging from bootstrap samples and produce the variable …