Abstract Explainable Artificial Intelligence (XAI) has experienced a significant growth over
the last few years. This is due to the widespread application of machine learning, particularly …

Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

The development of theory, frameworks and tools for Explainable AI (XAI) is a very active
area of research these days, and articulating any kind of coherence on a vision and …

The diffusion of artificial intelligence (AI) applications in organizations and society has fueled
research on explaining AI decisions. The explainable AI (xAI) field is rapidly expanding with …

The explainable artificial intelligence (xAI) is one of the interesting issues that has emerged
recently. Many researchers are trying to deal with the subject with different dimensions and …

With modern advances in artificial intelligence (AI) and machine learning and their
applications to software testing, the intersection of AI and testing is receiving close attention …

To process vast amounts of visual data such as images, videos, etc. in an automatic and
computationally efficient way, intelligent vision systems have been developed over the last …

Recent advancements in machine learning research, ie, deep learning, introduced methods
that excel conventional algorithms as well as humans in several complex tasks, ranging from …

Today, the effects of promising technologies such as explainable artificial intelligence (xAI)
and meta-learning (ML) on the internet of things (IoT) and the cyber-physical systems (CPS) …

The need for studies connecting machine explainability with human behavior is essential,
especially for a detailed understanding of a human's perspective, thoughts, and sensations …