Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …

Nowadays, class imbalance problem is one of the most important affairs among machine
learning and data mining researchers. In this problem, majority of the sample data are …

The various variants of the classical least square regression (LSR) have been extensively
utilized in numerous applications. However, most previous linear regression methods only …

In many practical applications, the data are class imbalanced. Accordingly, it is very
meaningful and valuable to investigate the classification of imbalanced data. In the …

Smartphones enable to collect large data streams about phone calls that, once combined
with Computational Intelligence techniques, bring great potential for improving the …

Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

Bank deposit is one of the vital issues for any financial institution. It is very challenging to
predict a customer if he/she can be a depositor by analyzing related information. Some …

Autism Spectrum Condition (ASD) is a notable psychological disorder that affects a human's
ability to communicate socially. The need of early diagnosis prompted researchers' attention …

The applications of machine learning have now reached variety of industries, including
banking and financial organisations. While credit approval is a key concern of the banking …

Skin lesion is one of the most commonly encountered illnesses that need to be detected and
treated at an early stage. Numerous Convolutional Neural Network (CNN) classifiers were …