Over the past few years, neural networks have exhibited remarkable results for various
applications in machine learning and computer vision. Weight initialization is a significant …

Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

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 …

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

Prediction of multi-dimensional time-series data, which may represent such diverse
phenomena as climate changes or financial markets, remains a challenging task in view of …

The popularity of machine learning algorithms produced numerous applications in the past
ten years. One application is that of art authentication which assures that a piece of art is …

This paper introduces new learning to the prediction model to enhance the prediction
algorithms' performance in dynamic circumstances. We have proposed a novel technique …

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 …

In view of the problems of the connection weights and thresholds of the extreme learning
machine are randomly generated before training and remain unchanged during the training …