Daniel Miller

According to our database, Daniel Miller authored at least 13 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Learning Health State Transition Probabilities via Wireless Body Area Networks.

Tal Geller, Yair Bar David, Evgeni Khmelnitsky, Irad Ben-Gal, Andrew Ward, Daniel Miller, Nicholas Bambos

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks.

Daniel Miller, Andrew Ward, Nicholas Bambos, Andrew Young Shin, David Scheinker

Proceedings of the 2019 IEEE International Conference on E-health Networking, 2019

2018

Optimal Sensing for Patient Health Monitoring.

Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Physiological Waveform Imputation of Missing Data using Convolutional Autoencoders.

Daniel Miller, Andrew Ward, Nicholas Bambos, David Scheinker, Andrew Young Shin

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Automatic Sleep Arousal Identification From Physiological Waveforms Using Deep Learning.

Daniel Miller, Andrew Ward, Nicholas Bambos

Proceedings of the Computing in Cardiology, 2018

Optimal Health Monitoring via Wireless Body Area Networks.

Yair Bar David, Tal Geller, Evgeni Khmelnitsky, Irad Ben-Gal, Andrew Ward, Daniel Miller, Nicholas Bambos

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Sensing-Constrained Power Control in Digital Health.

Daniel Miller, Zhengyuan Zhou, Nicholas Bambos, Irad Ben-Gal

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Service Rate Control of Tandem Queues With Power Constraints.

Li Xia, Daniel Miller, Zhengyuan Zhou, Nicholas Bambos

IEEE Trans. Autom. Control., 2017

Improving predictions of pediatric surgical durations with supervised learning.

Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos, Peter W. Glynn

Int. J. Data Sci. Anal., 2017

Dynamic control of data center network and computation resources.

Daniel Miller, Li Xia, Zhengyuan Zhou, Nicholas Bambos

Proceedings of the 2017 International Conference on Computing, 2017

2016

A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks.

Zhengyuan Zhou, Daniel Miller, Nicholas Bambos, Peter W. Glynn

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Detecting Inaccurate Predictions of Pediatric Surgical Durations.

Zhengyuan Zhou, Daniel Miller, Neal Master, David Scheinker, Nicholas Bambos, Peter W. Glynn

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Scalable Data Center Power Management via a Global Stress Signal.

Daniel Miller, Neal Master, Zhengyuan Zhou, Nicholas Bambos

Proceedings of the 2015 IEEE Global Communications Conference, 2015