Two hundred and twenty-one subjects with Parkinson's disease (PD) were examined using the Mini-Mental Status Examination (MMSE) and Montreal Cognitive Assessment (MoCA), with a subset of these (n = 98) examined on repeat testing up to 3 years. The MoCA was more sensitive in identifying cognitive deficit, specifically in the domains of visuospatial… (More)
The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) plays an important role in studying early brain development. In the isointense phase (approximately 6-8 months of age), WM and GM exhibit similar levels of intensity in both T1 and T2 MR images, resulting in extremely low tissue contrast… (More)
Personality research on social media is a hot topic recently due to the rapid development of social media as well as the central importance of personality study in psychology, but most studies are conducted on inadequate label samples. Our research aims to explore the usage of unlabeled samples to improve the prediction accuracy. By conducting n user study… (More)
—Model based movie recommender systems have been thoroughly investigated in the past few years, and they rely on rating data. In this paper, we take into account unrated data of genre information to improve the performance of movie recommendation. We propose a novel method to measure users' preference on movie genres, and use Pearson Correlation Coefficient… (More)
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Bacterial image segmentation and classification is an important problem because bacterial appearance can vary dramatically based on environmental conditions. Further, newly isolated species may exhibit phenotypes previously unseen. Conventionally, biologists identify bacteria using colony morphology, biochemical properties, or molecular phylogenetic… (More)