The continuous advancement of Artificial Intelligence (AI) has been revolutionizing the
strategy of decision-making in different life domains. Regardless of this achievement, AI …

In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …

Abstract Machine learning and deep learning have become the most useful and powerful
tools in the last years to mine information from large datasets. Despite the successful …

Recently, the global food supply chain has become increasingly complex, and its scalability
has grown. From farm to fork, the performance of food‐producing systems is influenced by …

Accurately estimating the prices of houses is important for various stakeholders including
house owners, real estate agencies, government agencies, and policy-makers. Towards this …

Understanding the rationale behind the predictions produced by machine learning models is
a necessary prerequisite for human to build confidence and trust for the intelligent systems …

This paper presents a new method for objectively measuring the explainability of textual
information, such as the outputs of Explainable AI (XAI). We introduce a metric called …

This paper delves into the complex task of evaluating a website user interface (UI) and user
experience (UX), a process complicated by gaps in research. To bridge this, we introduced …

Dams are vital infrastructure for water resource management, and their safety is threatened
by the complex interplay of multiple risk factors. Consequently, for dam safety maintenance …

Explainable Artificial Intelligence (XAI) evaluation has grown significantly due to its
extensive adoption, and the catastrophic consequence of misinterpreting sensitive data …