Abstract Explainable Artificial Intelligence (XAI) is an emerging research field bringing
transparency to highly complex and opaque machine learning (ML) models. Despite the …

Nowadays, deep neural networks are widely used in a variety of fields that have a direct
impact on society. Although those models typically show outstanding performance, they …

Visual quality inspection systems, crucial in sectors like manufacturing and logistics, employ
computer vision and machine learning for precise, rapid defect detection. However, their …

Recent successes suggest that knowledge distillation techniques can usefully transfer
knowledge between deep neural networks as compression and acceleration techniques, eg …

Abstract Explainable Artificial Intelligence (XAI) is a field usually dedicated to offering
insights into the decisionmaking mechanisms of AI models. Its purpose is to enable users to …

This review serves as our note encapsulating our insights from the latest advancements and
research in the domain of Explainable Artificial Intelligence (XAI), focusing on the methods …