Bicer, M, Phillips, A. T. M., Melis, A, McGregor, A. H. & Modenese, L. (2022). Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. Journal of Biomechanics, 144 , 111301. Zugriff am 06.02.2023 unter https://doi.org/10.1016/j.jbiomech.2022.111301
APA-Zitierstil (7. Ausg.)Bicer, M., Phillips, A. T. M., Melis, A., McGregor, A. H., & Modenese, L. (2022). Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. Journal of Biomechanics, 144, 111301.
Chicago-Zitierstil (17. Ausg.)Bicer, M., A. T. M. Phillips, A. Melis, A. H. McGregor, und L. Modenese. "Generative Deep Learning Applied to Biomechanics: A New Augmentation Technique for Motion Capture Datasets." Journal of Biomechanics 144 (2022): 111301.
MLA-Zitierstil (9. Ausg.)Bicer, M., et al. "Generative Deep Learning Applied to Biomechanics: A New Augmentation Technique for Motion Capture Datasets." Journal of Biomechanics, vol. 144, 2022, p. 111301.