Cite
SRDA: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using Sensor Relation Dual Autoencoder.
MLA
Tang, Mingyue, et al. “SRDA: Mobile Sensing Based Fluid Overload Detection for End Stage Kidney Disease Patients Using Sensor Relation Dual Autoencoder.” Proceedings of Machine Learning Research, vol. 209, 2023, pp. 133–46. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=cmedm&AN=38370390&authtype=sso&custid=ns315887.
APA
Tang, M., Gao, J., Dong, G., Yang, C., Campbell, B., Bowman, B., Zoellner, J. M., Abdel-Rahman, E., & Boukhechba, M. (2023). SRDA: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using Sensor Relation Dual Autoencoder. Proceedings of Machine Learning Research, 209, 133–146.
Chicago
Tang, Mingyue, Jiechao Gao, Guimin Dong, Carl Yang, Bradford Campbell, Brendan Bowman, Jamie Marie Zoellner, Emaad Abdel-Rahman, and Mehdi Boukhechba. 2023. “SRDA: Mobile Sensing Based Fluid Overload Detection for End Stage Kidney Disease Patients Using Sensor Relation Dual Autoencoder.” Proceedings of Machine Learning Research 209: 133–46. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=cmedm&AN=38370390&authtype=sso&custid=ns315887.