Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

In recent years, machine learning (ML) has become a key enabling technology for the
sciences and industry. Especially through improvements in methodology, the availability of …

Over the last decade, the importance of machine learning increased dramatically in
business and marketing. However, when machine learning is used for decision-making, bias …

Running gait patterns have implications for revealing the causes of injuries between higher-
mileage runners and low-mileage runners. However, there is limited research on the …

Deep neural networks have achieved near-human accuracy levels in various types of
classification and prediction tasks including images, text, speech, and video data. However …

Deep neural networks have led to state-of-the-art results in many medical imaging tasks
including Alzheimer's disease (AD) detection based on structural magnetic resonance …

Issues regarding explainable AI involve four components: users, laws and regulations,
explanations and algorithms. Together these components provide a context in which …

Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …

Abstract Model explanations are crucial for the transparent, safe, and trustworthy
deployment of machine learning models. The SHapley Additive exPlanations (SHAP) …