The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

Tracking devices that can track both players and balls are critical to the performance of
sports teams. Recently, significant effort has been focused on building larger broadcast …

The rapid progress in artificial intelligence (AI) and machine learning has opened
unprecedented analytics possibilities in various team and individual sports, including …

We study the problem of imitation learning from demonstrations of multiple coordinating
agents. One key challenge in this setting is that learning a good model of coordination can …

It is common practice amongst coaches and analysts to search for key performance
indicators related to attacking play in football. Match analysis in professional football has …

In recent years, analytics has started to revolutionize the game of basketball: Quantitative
analyses of the game inform team strategy; management of player health and fitness; and …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

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 …

The analysis of tracking data in tactical game analysis is a topic of rising interest, as more
detailed insights into performance structure in soccer can be obtained compared to …