APA (7th ed.) Citation

Noroozi, A., Hasan, M. S., Ravan, M., Norouzi, E., & Law, Y. (2024). An efficient machine learning approach for extracting eSports players distinguishing features and classifying their skill levels using symbolic transfer entropy and consensus nested cross validation.

Chicago Style (17th ed.) Citation

Noroozi, Amin, Mohammad S. Hasan, Maryam Ravan, Elham Norouzi, and Ying-Ying Law. An Efficient Machine Learning Approach for Extracting ESports Players Distinguishing Features and Classifying Their Skill Levels Using Symbolic Transfer Entropy and Consensus Nested Cross Validation. 2024.

MLA (9th ed.) Citation

Noroozi, Amin, et al. An Efficient Machine Learning Approach for Extracting ESports Players Distinguishing Features and Classifying Their Skill Levels Using Symbolic Transfer Entropy and Consensus Nested Cross Validation. 2024.