Autism spectrum disorder (ASD) is a neurodevelopmental incurable disorder with a long
diagnostic period encountered in the early years of life. If diagnosed early, the negative …

Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …

In recent years, feature selection for multilabel classification has attracted attention in
machine learning and data mining. However, some feature selection methods ignore the …

Background Support vector machines (SVM) are a powerful tool to analyze data with a
number of predictors approximately equal or larger than the number of observations …

Sensitive feature extraction from the raw vibration signal is still a great challenge for
intelligent fault diagnosis of rolling bearing. Current fault classification framework generally …

Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …

Ageing is associated with various ailments including Alzheimer's disease (AD), which is a
progressive form of dementia. AD symptoms develop over a period of years and …

Our personal social networks are big and cluttered, and currently there is no good way to
organize them. Social networking sites allow users to manually categorize their friends into …

Background—The current ability to predict readmissions in patients with heart failure is
modest at best. It is unclear whether machine learning techniques that address higher …

Mitochondria provide numerous essential functions for cells and their dysfunction leads to a
variety of diseases. Thus, obtaining a complete mitochondrial proteome should be a crucial …