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2007.06063
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Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
12 July 2020
Yingshui Tan
Baihong Jin
Xiangyu Yue
Yuxin Chen
Alberto L. Sangiovanni-Vincentelli
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Papers citing
"Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI"
5 / 5 papers shown
Title
Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification
Hassan Gharoun
M. S. Khorshidi
Fang Chen
Amir H. Gandomi
30
0
0
19 Sep 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,695
0
05 Dec 2016
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
274
5,331
0
05 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
Near Optimal Bayesian Active Learning for Decision Making
Shervin Javdani
Yuxin Chen
Amin Karbasi
Andreas Krause
J. Andrew Bagnell
S. Srinivasa
169
57
0
24 Feb 2014
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