most citedDeveloping Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

15 citations · 15 across the 2 of their papers we have counts for

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cs.LG2020★ 15 cited

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

Lida Zhang, Nathan C. Hurley, Bassem Ibrahim +4

Blood pressure monitoring is an essential component of hypertension management and in the prediction of associated comorbidities. Blood pressure is a dynamic vital sign with freque…

cs.LG2018

Layer Flexible Adaptive Computational Time

Lida Zhang, Abdolghani Ebrahimi, Diego Klabjan

Deep recurrent neural networks perform well on sequence data and are the model of choice. However, it is a daunting task to decide the structure of the networks, i.e. the number of…