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Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
25 February 2021
Heng Hao
H. Moon
Sima Didari
J. Woo
P. Bangert
AI4TS
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Papers citing
"Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification"
3 / 3 papers shown
Title
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
62
171
0
08 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
Manifold Gaussian Processes for Regression
Roberto Calandra
Jan Peters
C. Rasmussen
M. Deisenroth
86
271
0
24 Feb 2014
1