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What Happened Next? Using Deep Learning to Value Defensive Actions in
  Football Event-Data

What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data

3 June 2021
Charbel Merhej
Ryan Beal
Sarvapali Ramchurn
Tim Matthews
    AAML
ArXiv (abs)PDFHTML

Papers citing "What Happened Next? Using Deep Learning to Value Defensive Actions in Football Event-Data"

6 / 6 papers shown
Title
Action Valuation in Sports: A Survey
Action Valuation in Sports: A Survey
Artur Xarles
Sergio Escalera
T. Moeslund
Albert Clapés
75
0
0
08 Apr 2025
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
Wei-Yao Wang
Wei-Wei Du
Wenjie Peng
Tsì-Uí İk
68
4
0
27 Jun 2023
About latent roles in forecasting players in team sports
About latent roles in forecasting players in team sports
Luca Scofano
Alessio Sampieri
Giuseppe Re
Matteo Almanza
A. Panconesi
Fabio Galasso
AI4TS
47
1
0
17 Apr 2023
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Weijie Zhao
Xuewu Jiao
Xinsheng Luo
Jingxue Li
Belhal Karimi
Ping Li
70
2
0
26 Sep 2022
PGD: A Large-scale Professional Go Dataset for Data-driven Analytics
PGD: A Large-scale Professional Go Dataset for Data-driven Analytics
Yifan Gao
AI4TS
67
4
0
30 Apr 2022
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles
  for Stroke Forecasting in Badminton
ShuttleNet: Position-aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
Wei-Yao Wang
Hong-Han Shuai
Kai-Shiang Chang
Chao-Han Huck Yang
71
44
0
02 Dec 2021
1