The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …

Artificial intelligence (AI) is currently being utilized in a wide range of sophisticated
applications, but the outcomes of many AI models are challenging to comprehend and trust …

Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

There is a growing concern about typically opaque decision-making with high-performance
machine learning algorithms. Providing an explanation of the reasoning process in domain …

Abstract Context: Artificial Intelligence (AI) in the medical domain has achieved remarkable
results on various metrics primarily due to recent advancements in computational …

Machine learning in decision support systems already outperforms pre-existing statistical
methods. However, their predictions face challenges as calculations are often complex and …

Concerns about the effect of greenhouse gases have motivated the development of
certification protocols to quantify the industrial carbon footprint (cf). These protocols are …

Researchers have developed a variety of approaches to evaluate explainable artificial
intelligence (XAI) systems using human–computer interaction (HCI) user‐centered …

Many applications are driven by Machine Learning (ML) today. While complex ML models
lead to an accurate prediction, their inner decision-making is obfuscated. However …