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Post-hoc loss-calibration for Bayesian neural networks


Jun 13, 2021
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

* Accepted to Conference on Uncertainty in AI (UAI) '21 

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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge


Apr 09, 2021
Prithwish Chakraborty, James Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Yuen Reed, Kenney Ng, Daby Sow, Bradley A. Malin

* Presented at the AMIA 2021 Virtual Informatics Summit 

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Modeling Disease Progression Trajectories from Longitudinal Observational Data


Dec 09, 2020
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group

* 9 pages, 5 figures, to be published in proceedings of AMIA Annual Symposium 2020 

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Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning


Aug 07, 2020
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

* 7 pages, 2 figures 

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DPVis: Visual Exploration of Disease Progression Pathways


Apr 26, 2019
Bum Chul Kwon, Vibha Anand, Kristen A Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng


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Unsupervised learning with contrastive latent variable models


Nov 14, 2018
Kristen Severson, Soumya Ghosh, Kenney Ng


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Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care


Feb 19, 2018
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu


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