Kim, H, Kim, C. J., Jeong, M, Lee, J, Yoon, J & Ko, S. K. (2022). Cost-efficient and bias-robust sports player tracking by integrating GPS and video. In U. Brefeld, J. Davis, J. Van Haaren & A. Zimmermann (Hrsg.), Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science (Communications in Computer and Information Science, 1783, S. 74-86). Cham: Springer.
APA-Zitierstil (7. Ausg.)Kim, H., Kim, C. J., Jeong, M., Lee, J., Yoon, J., & Ko, S. K. (2022). Cost-efficient and bias-robust sports player tracking by integrating GPS and video. Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 74-86.
Chicago-Zitierstil (17. Ausg.)Kim, H., C. J. Kim, M. Jeong, J. Lee, J. Yoon, und S. K. Ko. "Cost-efficient and Bias-robust Sports Player Tracking by Integrating GPS and Video." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science 2022: 74-86.
MLA-Zitierstil (9. Ausg.)Kim, H., et al. "Cost-efficient and Bias-robust Sports Player Tracking by Integrating GPS and Video." Machine Learning and Data Mining for Sports Analytics. MLSA 2022. Communications in Computer and Information Science, 2022, pp. 74-86.