Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nie, Guangkun"'
Imbalanced data distributions are prevalent in real-world scenarios, posing significant challenges in both imbalanced classification and imbalanced regression tasks. They often cause deep learning models to overfit in areas of high sample density (ma
Externí odkaz:
http://arxiv.org/abs/2411.15216
Photoplethysmography (PPG) is emerging as a crucial tool for monitoring human hemodynamics, with recent studies highlighting its potential in assessing vascular aging through deep learning. However, real-world age distributions are often imbalanced,
Externí odkaz:
http://arxiv.org/abs/2406.14953
Autor:
Nie, Guangkun, Zhu, Jiabao, Tang, Gongzheng, Zhang, Deyun, Geng, Shijia, Zhao, Qinghao, Hong, Shenda
Photoplethysmography (PPG) is a highly promising device due to its advantages in portability, user-friendly operation, and non-invasive capabilities to measure a wide range of physiological information. Recent advancements in deep learning have demon
Externí odkaz:
http://arxiv.org/abs/2401.12783
Autor:
Yang, Binbin1 bbyang@hku.hk
Publikováno v:
NAN NU -- Men, Women & Gender in Early & Imperial China. 2017, Vol. 19 Issue 2, p263-315. 53p.
Publikováno v:
2013 Fourth International Conference on Intelligent Systems Design & Engineering Applications; 2013, p121-124, 4p