Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …

Credit risk assessment is at the core of modern economies. Traditionally, it is measured by
statistical methods and manual auditing. Recent advances in financial artificial intelligence …

Medical datasets are usually imbalanced, where negative cases severely outnumber
positive cases. Therefore, it is essential to deal with this data skew problem when training …

With sustainable growth highlighted as a key to success in Industry 4.0, manufacturing
companies attempt to optimize production efficiency. In this study, we investigated whether …

Real-world datasets are heavily skewed where some classes are significantly outnumbered
by the other classes. In these situations, machine learning algorithms fail to achieve …

The Internet of Things (IoT) is the new appearing technology and produces big data
nowadays. Today, IoT is primarily a vision that dictates that everything should be …

In the past few years, educational data mining (EDM) has attracted the attention of
researchers to enhance the quality of education. Predicting student academic performance …

Malignant mesothelioma (MM) is a rare cancer type arising from mesothelial cells. The
current clinical diagnosis is based on contrast-enhanced computed tomography, magnetic …

Class imbalance is a key issue affecting the performance of computer vision applications
such as medical image analysis, objection detection and recognition, image segmentation …

Lack of education is a major concern in underdeveloped countries because it leads to poor
human and economic development. The level of education in public institutions varies …