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Predicting Hydrophobicity by Learning Spatiotemporal Features of Interfacial Water Structure: Combining Molecular Dynamics Simulations with Convolutional Neural Networks.
In The journal of physical chemistry. B
Kelkar Atharva Shailendra, Dallin Bradley C, Van Lehn Reid C
In Journal of chemical information and modeling
Ponting David John, van Deursen Ruud, Ott Martin A
Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.
In International journal of computer assisted radiology and surgery
Qu Wendi, Balki Indranil, Mendez Mauro, Valen John, Levman Jacob, Tyrrell Pascal N
Class imbalance, Machine learning, Medical imaging, Radiology, X-ray
In Revista da Associacao Medica Brasileira (1992)
Neves Nedy M B C, Bitencourt Flávia B C S N, Bitencourt Almir G V
In European review for medical and pharmacological sciences
Alsharif M H, Alsharif Y H, Chaudhry S A, Albreem M A, Jahid A, Hwang E
Large scale assessment of consistency in sleep stage scoring rules among multiple sleep centers using an interpretable machine learning algorithm.
In Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
STUDY OBJECTIVES :
Liu Gi-Ren, Lin Ting-Yu, Wu Hau-Tieng, Sheu Yuan-Chung, Liu Ching-Lung, Liu Wen-Te, Yang Mei-Chen, Ni Yung-Lun, Chou Kun-Ta, Chen Chao-Hsien, Wu Dean, Lan Chou-Chin, Chiu Kuo-Liang, Chiu Hwa-Yen, Lo Yu-Lun
inter-center assessments, interrater reliability, intra-center assessments, machine learning, sleep stage scoring