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Off-Screen Player Behavior Prediction in Football by Amine Saadi is a document available to read on EtoBox.
What is Off-Screen Player Behavior Prediction in Football about?
This paper presents a method called the Graph Imputer for predicting off-screen behaviors of football players by utilizing past and future observations of partially observable agents. The approach combines graph networks and variational autoencoders to impute missing data in multiagent time-series, demonstrating superior performance compared to existing methods in football analytics. The study highlights the potential for applying this technique to various domains requiring multiagent trajectory imputation
- Author
- Amine Saadi
- Language
- EN