AI for Sports Analytics IJCAI 2021 Workshop

Канада, Монреаль

21 августа23 августа 2021

Форма участия: Дистанционная

Срок подачи заявок: 05.05.2021

Организаторы: Montreal, Canada

emal: [email protected]

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Topics of interest include, but are not limited to, the following: Representation learning and aggregate statisticsPlayer and team-level statistics, vectors, and/or learned embeddings for analysis of in-game situations
Modeling and learning of player/team rankings, strengths, and weaknesses
Data processing, filtering, and visualisation techniques/demos
Evaluation of actions, trajectories and strategies, and learning of optimal policiesValue estimation during in-game situations (e.g., action-values for actions and players)
Detection and optimization of in-game tactics
Reinforcement learning for sports analytics
Game-theoretic and multi-agent aspectsPredictive and prescriptive analysis of set pieces and in-game play
Learning of coordination of player and team behaviors
Transfer and imitation learning of human play
Synergy or “chemistry” of groups of players
Physical and human factorsPhysics-simulation of real play
Human factors such as injury and fatigue predictions
Video-based modeling Event detection and activity recognition
Pose detection
Generative modeling of video data

We invite authors to submit one of two types of papers:Research papers on new findings, maximum 6 pages (excluding references) in IJCAI double column format, which will be reviewed by our program committee and will be presented as talks and/or posters.
Extended abstracts summarizing previously published/submitted work, maximum 2 pages (excluding references) in IJCAI double column format. These works will undergo a light-touch review/check by the organizing committee, and will be presented in the poster session.

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