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Cracking the Black Box: Distilling Deep Sports Analytics
v1v2v3v4 (latest)

Cracking the Black Box: Distilling Deep Sports Analytics

Knowledge Discovery and Data Mining (KDD), 2020
4 June 2020
Xiangyu Sun
Jack Davis
Oliver Schulte
Guiliang Liu
ArXiv (abs)PDFHTML

Papers citing "Cracking the Black Box: Distilling Deep Sports Analytics"

11 / 11 papers shown
FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondo
FST.ai 2.0: An Explainable AI Ecosystem for Fair, Fast, and Inclusive Decision-Making in Olympic and Paralympic Taekwondo
Keivan K1 Shariatmadar
Ahmad Osman
Ramin Ray
Kisam Kim
213
0
0
21 Oct 2025
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the Wild
pix2pockets: Shot Suggestions in 8-Ball Pool from a Single Image in the WildScandinavian Conference on Image Analysis (SCIA), 2025
Jonas Myhre Schiøtt
Viktor Sebastian Petersen
Dimitrios P. Papadopoulos
VLM
271
0
0
16 Apr 2025
No $D_{\text{train}}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning
No DtrainD_{\text{train}}Dtrain​: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning
Xiangyu Sun
Raquel Aoki
Kevin H. Wilson
286
1
0
28 May 2024
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing
  Forecasting Models in Badminton
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton
Wei-Yao Wang
Wenjie Peng
Wei Wang
Philip S. Yu
187
1
0
18 Dec 2023
PlayBest: Professional Basketball Player Behavior Synthesis via Planning
  with Diffusion
PlayBest: Professional Basketball Player Behavior Synthesis via Planning with DiffusionInternational Conference on Information and Knowledge Management (CIKM), 2023
Xiusi Chen
Wei-Yao Wang
Ziniu Hu
David Reynoso
Kun Jin
Mingyan D. Liu
P. Brantingham
Wei Wang
DiffM
337
5
0
07 Jun 2023
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
277
51
0
02 Dec 2021
Towards optimized actions in critical situations of soccer games with
  deep reinforcement learning
Towards optimized actions in critical situations of soccer games with deep reinforcement learning
Pegah Rahimian
Afshin Oroojlooy
László Toka
99
9
0
14 Sep 2021
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
NTS-NOTEARS: Learning Nonparametric DBNs With Prior KnowledgeInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Xiangyuan Sun
Oliver Schulte
Guiliang Liu
Pascal Poupart
CMLBDL
492
47
0
09 Sep 2021
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive
Bandit Modeling of Map Selection in Counter-Strike: Global Offensive
Guido Petri
M. H. Stanley
Alec B. Hon
Alexander Dong
Peter Xenopoulos
Cláudio Silva
128
3
0
14 Jun 2021
Data-driven Analysis for Understanding Team Sports Behaviors
Data-driven Analysis for Understanding Team Sports Behaviors
Keisuke Fujii
AI4TSAI4CE
342
36
0
15 Feb 2021
Game Plan: What AI can do for Football, and What Football can do for AI
Game Plan: What AI can do for Football, and What Football can do for AIJournal of Artificial Intelligence Research (JAIR), 2020
K. Tuyls
Shayegan Omidshafiei
Paul Muller
Zhe Wang
Jerome T. Connor
...
Simon Bouton
Nathalie Beauguerlange
Jackson Broshear
T. Graepel
Demis Hassabis
266
104
0
18 Nov 2020
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