13 citations · 13 across the 3 of their papers we have counts for
3 papers
Analysis of points outcome in ATP Grand Slam Tennis using big data and machine learning
Martin Illum, Hans Christian Bechsøfft Mikkelsen, Emil Hovad
Tennis is one of the world's biggest and most popular sports. Multiple researchers have, with limited success, modeled the outcome of matches using probability modelling or machine…
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
Matteo Calafà, Emil Hovad, Allan P. Engsig-Karup +1
We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via holomorphic functions. Speci…
Classification of Tennis Actions Using Deep Learning
Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen
Recent advances of deep learning makes it possible to identify specific events in videos with greater precision. This has great relevance in sports like tennis in order to e.g., au…