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

5 / 5 papers shown
Title
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
29
1
0
17 Apr 2023
The ProfessionAl Go annotation datasEt (PAGE)
The ProfessionAl Go annotation datasEt (PAGE)
Yifan Gao
Danni Zhang
Haoyue Li
25
0
0
03 Nov 2022
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
43
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
35
3
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
Wen-Chih Peng
36
43
0
02 Dec 2021
1