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Using Machine Learning to Predict Game Outcomes Based on Player-Champion
  Experience in League of Legends

Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends

International Conference on Foundations of Digital Games (FDG), 2021
5 August 2021
Tiffany D. Do
Seong Ioi Wang
Dylan S. Yu
Matthew G. McMillian
Ryan P. McMahan
ArXiv (abs)PDFHTML

Papers citing "Using Machine Learning to Predict Game Outcomes Based on Player-Champion Experience in League of Legends"

4 / 4 papers shown
CUPID: Improving Battle Fairness and Position Satisfaction in Online
  MOBA Games with a Re-matchmaking System
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System
Ge Fan
Chaoyun Zhang
Kai Wang
Yingjie Li
Junyang Chen
Zenglin Xu
273
6
0
28 Jun 2024
An Integrated Framework for Team Formation and Winner Prediction in the
  FIRST Robotics Competition: Model, Algorithm, and Analysis
An Integrated Framework for Team Formation and Winner Prediction in the FIRST Robotics Competition: Model, Algorithm, and Analysis
Federico Galbiati
Ranier X. Gran
Brendan D. Jacques
Sullivan J. Mulhern
Chun-Kit Ngan
147
1
0
06 Jan 2024
League of Legends: Real-Time Result Prediction
League of Legends: Real-Time Result Prediction
Jailson B. S. Junior
Cláudio E. C. Campelo
78
6
0
02 Sep 2023
Action2Score: An Embedding Approach To Score Player Action
Action2Score: An Embedding Approach To Score Player Action
Junho Jang
Jiyoung Woo
H. Kim
126
2
0
21 Jul 2022
1
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