Author:
Kovalchik Stephanie,Reid Machar
Subject
Business and International Management
Cited by
20 articles.
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1. CLSTM: A Dynamic Model for Predicting Winning Percentages in Tennis Matches;Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things;2024-05-24
2. Prediction of Tennis Match Based on Random Forest and PSO-SVM;Proceedings of the 2024 International Conference on Smart City and Information System;2024-05-17
3. Analysis of Player Performance and Game Fluctuation Based on LM-BP Neural Network and SVM;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26
4. Momentum Prediction for Tennis Matches Based on Counter-Factual Analysis and Multi-LGBM;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01
5. Simulating the progression of a professional snooker frame;European Journal of Operational Research;2023-09