Zhou, Y.; Hong, S.; Shang, J.; Wu, M.; Wang, Q.; Li, H.; Xie, J.
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors 2020, 20, 7307.
https://doi.org/10.3390/s20247307
AMA Style
Zhou Y, Hong S, Shang J, Wu M, Wang Q, Li H, Xie J.
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors. 2020; 20(24):7307.
https://doi.org/10.3390/s20247307
Chicago/Turabian Style
Zhou, Yuxi, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, and Junqing Xie.
2020. "Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence" Sensors 20, no. 24: 7307.
https://doi.org/10.3390/s20247307
APA Style
Zhou, Y., Hong, S., Shang, J., Wu, M., Wang, Q., Li, H., & Xie, J.
(2020). Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors, 20(24), 7307.
https://doi.org/10.3390/s20247307