This paper explores the role of artificial intelligence (AI) in elite sports. We approach the
topic from two perspectives. Firstly, we provide a literature based overview of AI success …

RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method
that can be applied to market segmentation. RFM analysis is used to analyze customer's …

We investigate the structure of mutual funds' corporate governance preferences as revealed
by how they vote their shares in portfolio companies. We apply unsupervised learning tools …

Background and Objectives The objective of this study was to propose a clustering approach
to identify migraine subgroups and test the clinical usefulness of the approach by providing …

The continuing increase in functional requirements of modern hardware designs means the
traditional functional verification process becomes inefficient in meeting the time-to-market …

An iterative computer-aided ideation procedure is introduced, building on recent quality-
diversity algorithms, which search for diverse as well as high-performing solutions …

The systematic processing of unstructured communication data as well as the milestone of
pattern recognition in order to determine communication groups in negotiations bears many …

The cluster analysis has been widely applied by researchers from several scientific fields
over the last decades. Advances in knowledge of biological phenomena have revived a …

Traditional methods for skin color classification, such as visual assessments and
conventional image classification, face limitations in accuracy and consistency under …

Minerals are information-rich materials that offer researchers a glimpse into the evolution of
planetary bodies. Thus, it is important to extract, analyze, and interpret this abundance of …