Data Driven Lunch Seminar series: Spatiotemporal Machine Learning for Football

Data Driven Lunch Seminar series continues on 3 December: Spatiotemporal Machine Learning for Football by Professor Ulf Brefeld, Leuphana Universität Lüneburg, Germany

Data analyis in team sports is a complex task and involves observations of agents (i.e., the players) and their actions (passing, running, etc.) as well as additional variables (score, ball possession, etc.) over time (the duration of the game) and space (the pitch). On the example of football, I will introduce how to make sense of those observations and in particular introduce movement models as key to every higher level analysis. I will also introduce some exemplary results that make use of movement models to bridge the gap towards addressing semantics of the game (e.g., next action, availability for pass).

Bio: Ulf Brefeld is a professor for Machine Learning at Leuphana Universität Lüneburg. Prior to joining Leuphana, he was a joint professor for Knowledge Mining & Assessment at TU Darmstadt and the German Institute for Educational Research (DIPF), Frankfurt am Main. Before, he led the Recommender Systems group at Zalando SE and worked on machine learning at Universität Bonn, Yahoo! Research Barcelona, Technische Universität Berlin, Max Planck Institute for Computer Science in Saarbrücken, and at Humboldt-Universität zu Berlin. Ulf received a Diploma in Computer Science in 2003 from Technische Universität Berlin and a Ph.D. (Dr. rer. nat.) in 2008 from Humboldt-Universität zu Berlin. He is interested in statistical machine learning and data mining.

Chair: Pauli Miettinen

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Zoom Meeting ID: 618 8718 6168

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Meeting ID: 618 8718 6168