Jinsung Yoon
Jinsung Yoon
Research Scientist at Google Cloud AI
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com - Kotisivu
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Gain: Missing data imputation using generative adversarial nets
J Yoon, J Jordon, M Van Der Schaar
International Conference on Machine Learning 80, 5689--5698, 2018
1972018
Deephit: A deep learning approach to survival analysis with competing risks
C Lee, W Zame, J Yoon, M van der Schaar
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1052018
GANITE: Estimation of individualized treatment effects using generative adversarial nets
J Yoon, J Jordon, M van der Schaar
International Conference on Learning Representations, 2018
932018
PATE-GAN: Generating synthetic data with differential privacy guarantees
J Jordon, J Yoon, M van der Schaar
International Conference on Learning Representations, 2018
812018
Sex differences in outcomes after STEMI: effect modification by treatment strategy and age
E Cenko, J Yoon, S Kedev, G Stankovic, Z Vasiljevic, G Krljanac, ...
JAMA Internal Medicine 178 (5), 632-639, 2018
762018
Personalized risk scoring for critical care prognosis using mixtures of gaussian processes
AM Alaa, J Yoon, S Hu, M Van der Schaar
IEEE Transactions on Biomedical Engineering 65 (1), 207-218, 2017
58*2017
Estimating missing data in temporal data streams using multi-directional recurrent neural networks
J Yoon, WR Zame, M van der Schaar
IEEE Transactions on Biomedical Engineering 66 (5), 1477-1490, 2018
53*2018
Discovery and clinical decision support for personalized healthcare
J Yoon, C Davtyan, M van der Schaar
IEEE Journal of Biomedical and Health Informatics 21 (4), 1133-1145, 2016
512016
ForecastICU: a prognostic decision support system for timely prediction of intensive care unit admission
J Yoon, A Alaa, S Hu, M Schaar
International Conference on Machine Learning, 1680-1689, 2016
392016
Adaptive ensemble learning with confidence bounds
C Tekin, J Yoon, M Van Der Schaar
IEEE Transactions on Signal Processing 65 (4), 888-903, 2016
362016
Time-series generative adversarial networks
J Yoon, D Jarrett, M van der Schaar
332019
INVASE: Instance-wise variable selection using neural networks
J Yoon, J Jordon, M van der Schaar
International Conference on Learning Representations, 2018
332018
Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation
J Yoon, WR Zame, A Banerjee, M Cadeiras, AM Alaa, M van der Schaar
PloS ONE 13 (3), 2018
262018
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis with Competing Risks based on Longitudinal Data
C Lee, J Yoon, M Van Der Schaar
IEEE Transactions on Biomedical Engineering 67 (1), 122--133, 2019
252019
KnockoffGAN: Generating knockoffs for feature selection using generative adversarial networks
J Jordon, J Yoon, M van der Schaar
International Conference on Learning Representations, 2018
252018
Sex-related differences in heart failure after ST-segment elevation myocardial infarction
E Cenko, M van der Schaar, J Yoon, O Manfrini, Z Vasiljevic, M Vavlukis, ...
Journal of the American College of Cardiology 74 (19), 2379-2389, 2019
232019
Dynamic, data-driven processing of multispectral video streams
H Li, K Sudusinghe, Y Liu, J Yoon, M Van Der Schaar, E Blasch, ...
IEEE Aerospace and Electronic Systems Magazine 32 (7), 50-57, 2017
192017
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
J Yoon, J Jordon, M van der Schaar
International Conference on Machine Learning 80, 5699--5707, 2018
182018
Discovering pediatric asthma phenotypes on the basis of response to controller medication using machine learning
MK Ross, J Yoon, A van der Schaar, M van der Schaar
Annals of the American Thoracic Society 15 (1), 49-58, 2018
182018
Deep sensing: Active sensing using multi-directional recurrent neural networks
J Yoon, WR Zame, M van der Schaar
International Conference on Learning Representations, 2018
172018
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