Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …

Modern Artificial Intelligence (AI) systems, especially Deep Learning (DL) models, poses
challenges in understanding their inner workings by AI researchers. eXplainable Artificial …

An ontology-based system can currently logically reason through the Web Ontology
Language Description Logic (OWL DL). To perform probabilistic reasoning, the system must …

Reasoning on an ontology is presently limited to the logical one. However, in the case of
inconsistent knowledge or unreliable and incomplete information, it is difficult for a system to …

Several areas have evolved with the evolution of technology. Telemedicine and home care
are one of them. While there are many studies on home care, the overall problem of decision …

Incorporating ontological knowledge into supervised machine learning pipelines is a
promising avenue of research aimed at enhancing classification performance. Specifically …

This chapter wants to give an overview on the classification problem and some methods to
deal with it. After giving an introduction on the classification problem in Section 2.1, the …

The importance of data mining methods has increased dramatically in recent years, making
this research area relevant and challenging to extract actionable knowledge from complex …