Artificial Intelligence (AI) is present in various modern systems, but it is still subject to
acceptance in many fields. Medical diagnosis, autonomous driving cars, recommender …

Advances in machine learning have created new opportunities to develop artificial
intelligence (AI)-based clinical decision support systems using past clinical data and …

The rapid advancement and integration of artificial intelligence (AI) in various sectors have
accentuated the importance of explainability in AI systems. This vision paper presents an …

Artificial Intelligence (AI) has demonstrated potential in healthcare, particularly in enhancing
diagnostic accuracy and decision-making through Clinical Decision Support Systems …

In Internet of Things (IoT) applications, user behavior is influenced by factors such as
network structure, user activity, and location. Extracting valuable patterns from user activity …

Artificial Intelligence (AI) is increasingly integral for doing classification and prediction tasks
across various fields, including healthcare, legal systems, autonomous vehicles, and …

This research focusses on the potential application of artificial intelligence (AI) techniques in
the analysis of behavioural addictions, specifically addressing problematic Internet use …

Our research addresses the critical challenge of building trust in Artificial Intelligence (AI) for
Clinical Decision Support Systems (CDSS), focusing on breast cancer diagnosis. It is difficult …

With an emphasis on creating individualised learning experiences, the use of artificial
intelligence (AI) in educational technology has drawn a lot of attention recently. The Human …

Human-agent teamwork (HAT) is becoming increasingly prevalent in fields such as search
and rescue (SAR), where effective collaboration between humans and artificial agents is …