Romero, F. P., Lozano-Murcia, J, Lopez-Gomez, J. A., Angulo, E & Sanchez-Lopez, E. (2021). A data-driven approach to predict the most valuable player in a game. Computational and Mathematical Methods, 3 (4), e1155. Zugriff am 05.03.2021 unter https://doi.org/10.1002/cmm4.1155
APA-Zitierstil (7. Ausg.)Romero, F. P., Lozano-Murcia, J., Lopez-Gomez, J. A., Angulo, E., & Sanchez-Lopez, E. (2021). A data-driven approach to predict the most valuable player in a game. Computational and Mathematical Methods, 3(4), e1155.
Chicago-Zitierstil (17. Ausg.)Romero, F. P., J. Lozano-Murcia, J. A. Lopez-Gomez, E. Angulo, und E. Sanchez-Lopez. "A Data-driven Approach to Predict the Most Valuable Player in a Game." Computational and Mathematical Methods 3, no. 4 (2021): e1155.
MLA-Zitierstil (9. Ausg.)Romero, F. P., et al. "A Data-driven Approach to Predict the Most Valuable Player in a Game." Computational and Mathematical Methods, vol. 3, no. 4, 2021, p. e1155.