Machine learning is increasingly used to inform decision making in sensitive situations
where decisions have consequential effects on individuals' lives. In these settings, in …

The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

The recent outbreak of the respiratory ailment COVID-19 caused by novel coronavirus SARS-
Cov2 is a severe and urgent global concern. In the absence of effective treatments, the main …

Machine-learned models are often described as" black boxes". In many real-world
applications however, models may have to sacrifice predictive power in favour of human …

One of the core objectives of machine learning is to instruct computers to use data or past
experience to solve a given problem. A good number of successful applications of machine …

Machine-learning methods can assist with the medical decision-making processes at the
both the clinical and diagnostic levels. In this article, we first review historical milestones and …

The Internet of Things (IoT) is undergoing significant advancements, driven by the
emergence of backscatter communication (BC) and artificial intelligence (AI). BC is an …

Additive tree models (ATMs) are widely used for data mining and machine learning.
Important examples of ATMs include random forest, adaboost (with decision trees as weak …

Breast cancer is the second most leading cause of women's death in America. To create an
accurate prediction model and analyze the remarkable risk factors, a data mining …

To choose the right vehicle according to the needs and funds owned by consumers, requires
a careful analysis that takes into account many criteria and factors. The criteria used as a …