APA (7th ed.) Citation

Cheng, R., Haste, P., Levens, E., & Bergmann, J. (2024). Feature importance for estimating rating of perceived exertion from cardiorespiratory signals using machine learning. Frontiers in Sports & Active Living, 1. https://doi.org/10.3389/fspor.2024.1448243

Chicago Style (17th ed.) Citation

Cheng, Runbei, Phoebe Haste, Elyse Levens, and Jeroen Bergmann. "Feature Importance for Estimating Rating of Perceived Exertion from Cardiorespiratory Signals Using Machine Learning." Frontiers in Sports & Active Living 2024: 1. https://doi.org/10.3389/fspor.2024.1448243.

MLA (9th ed.) Citation

Cheng, Runbei, et al. "Feature Importance for Estimating Rating of Perceived Exertion from Cardiorespiratory Signals Using Machine Learning." Frontiers in Sports & Active Living, 2024, p. 1, https://doi.org/10.3389/fspor.2024.1448243.