Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1812.04994
Cited By
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity
12 December 2018
W. Fruehwirt
Adam D. Cobb
M. Mairhofer
L. Weydemann
H. Garn
R. Schmidt
T. Benke
P. Dal-Bianco
G. Ransmayr
M. Waser
D. Grossegger
Pengfei Zhang
Georg Dorffner
Stephen J. Roberts
BDL
OOD
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity"
3 / 3 papers shown
Title
Unifying Interpretability and Explainability for Alzheimer's Disease Progression Prediction
Raja Farrukh Ali
Stephanie Milani
John Woods
Emmanuel Adenij
Ayesha Farooq
Clayton Mansel
Jeffrey Burns
William Hsu
28
0
0
11 Jun 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1
