The COVID-19 pandemic has been affecting the world since December 2019, and
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …

Multi-view clustering methods group data into different clusters by discovering the
consensus in heterogeneous sources, which however becomes difficult when partial views …

Background Chronic kidney disease (CKD) is a disorder associated with breakdown of
kidney structure and function. CKD can be diagnosed in its early stage only by experienced …

Overview: The electroencephalographic (EEG) signals provide highly informative data on
brain activities and functions. Therefore, it is possible to extract a great variety of features …

Clustering is one of the most fundamental and essential data analysis tasks with broad
applications. It has been studied in various research fields: data mining, machine learning …

Background: Previous studies of migraine classification have focused on the analysis of
brain waves, leading to the development of complex tests that are not accessible to the …

Headache disorders can be considered as the predominant neurological condition. In the
field of neurological diseases, migraine was estimated to cost a total of€ 27 billion per year …

(1) Background: Modern medicine generates a great deal of information that stored in
medical databases. Simultaneously, extracting useful knowledge and making scientific …

Deep learning has great potential on decoding EEG in brain-computer interface. While
common deep learning algorithms cannot directly train models with data from multiple …

To develop effective design methods and to improve design technologies, it is important to
understand design cognitive activities. Following our previous preliminary work on the …