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A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising


Jan 06, 2023
Mircea Dumitru, Qiao Li, Erick Andres Perez Alday, Ali Bahrami Rad, Gari D. Clifford, Reza Sameni

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Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression


Jan 27, 2021
Yufei Cui, Ziquan Liu, Qiao Li, Yu Mao, Antoni B. Chan, Chun Jason Xue

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* 16 pages, 10 figures 

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Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data


Nov 20, 2020
Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Perez Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

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* Fixed typo in author affiliations 

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Fast Scenario Reduction for Power Systems by Deep Learning


Aug 30, 2019
Qiao Li, David Wenzhong Gao

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* 4 pages, 4 figures 

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Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex


May 29, 2019
Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue

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* 8 pages, 3 figures 

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