ABSTRACT Many Artificial Intelligence (AI) systems are black boxes, which hinders their
deployment. Explainable AI (XAI) approaches which automatically generate counterfactual …

Machine Learning is a subset and technology developed in the field of Artificial Intelligence
(AI). One of the most widely used machine learning algorithms is the K-Nearest Neighbors …

While e-commerce has flourished in the past decades, brick-and-mortar retail stores face
increasing challenges in attracting customers. Prior research indicates that humanoid robots …

Driven by motives of profit and competition, fake reviews are increasingly used to
manipulate product ratings. This trend has caught the attention of academic researchers and …

Artificial Intelligence (AI) is often presented as a new phenomenon that is primarily driven by
advances in contemporary machine learning technologies. Despite the steep rise …

Intelligent technologies such as Business Intelligence systems, big data, artificial
intelligence including machine learning and cognitive technologies play crucial role in the …

This paper proposes a novel approach for building transparent knowledge-based systems
by generating interpretable fuzzy rules that allow for present dependences between …

The aim of the paper is to present the role of Natural Language Processing (NLP) in the
support of contemporary business organization management especially focusing on …

The aim of the paper is to present the role and application of machine-learning (ML)
solutions in the area of contemporary business organisation management. The paper …

Deep neural networks (DNNs) are now widely used in many sectors of our society. This
phenomenon also means that if these DNNs contain faults, they will have profound adverse …