Sports Analytics Using Probabilistic Model Checking and Deep Learning-Reference-Cited by-同舟云学术

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Sports Analytics Using Probabilistic Model Checking and Deep Learning

Published:2023-06-14 Issue: Volume: Page:
ISSN:
Container-title:2023 27th International Conference on Engineering of Complex Computer Systems (ICECCS)
language:
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Author:

Dong Jin Song¹,Jiang Kan¹,Liu Zhaoyu¹,Dong Chen²,Hou Zhe³,Hundal Rajdeep Singh¹,Guo Jingyu¹,Lin Yun⁴

Affiliation:

1. National University of Singapore

2. Louisiana State University

3. Griffith University

4. Shanghai Jiao Tong University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321813/10321829/10321935.pdf?arnumber=10321935

Reference20 articles.

1. Scikit-learn: Machine learning in python;pedregosa;The Journal of Machine Learning Research,2011

2. On calibration of modern neural networks;guo;International Conference on Machine Learning,2017

3. Sports strategy analytics using probabilistic model checking and machine learning;jiang;Ph D Dissertation,2023

4. Sports analytics market - growth, trends, covid-19 impact, and forecasts (2022 - 2027),2022

5. Sap and the german football association turn big data into smart decisions to improve player performance at the world cup in brazil,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PCSP# Denotational Semantics with an Application in Sports Analytics;Lecture Notes in Computer Science;2024

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