publié le: 2021
Data privacy is a very important issue. Especially in fields like medicine, it is paramount to abide by the existing privacy regulations to preserve p...
During the past several years, revealing some useful knowledge or protecting individual's private information in an identifiable health dataset (i.e.,...
Using unsupervised learning methods for clinical diagnosis is very meaningful. In this study, we propose an unsupervised multi-view & multi-medoid var...
Multi-task learning has been widely applied to Alzheimer's Disease (AD) studies due to its capability of simultaneously rating the disease severity (c...
Nature-inspired optimization is one of the most prevalent research domains with a confounding history that fascinates the research communities. Partic...