This survey reviews explainability methods for vision-based self-driving systems trained with
behavior cloning. The concept of explainability has several facets and the need for …

Despite the myriad peer-reviewed papers demonstrating novel Artificial Intelligence (AI)-
based solutions to COVID-19 challenges during the pandemic, few have made a significant …

Drug discovery is adapting to novel technologies such as data science, informatics, and
artificial intelligence (AI) to accelerate effective treatment development while reducing costs …

Deep neural networks (DNNs) have achieved physician-level accuracy on many imaging-
based medical diagnostic tasks, for example classification of retinal images in …

This paper studies the efficient definition of product defects for AI systems with autonomous
capabilities. It argues that defining defects in product liability law is central to distributing …

Representational transfer from publicly available models is a promising technique for
improving medical image classification, especially in long-tailed datasets with rare diseases …

Cancer is the third-leading cause of death in the United Arab Emirates (UAE); cancer care in
the UAE has evolved dramatically over the last 40 years, from a single center in Al Ain in …

Over the past two years, the spread of COVID-19 has spurred the use of information and
communication technologies (ICT) in aid of healthcare. The need to guarantee continuity to …

Machine intelligence is very successful at standard recognition tasks when having high-
quality training data. There is still a significant gap between machine-level pattern …

Counterfeit goods sold online have amounted to $330 billion in losses worldwide. Of these,
luxury brand losses account for $30.3 billion. The social and economic effects of counterfeit …