ResearchTrend.AI
GPEX, A Framework For Interpreting Artificial Neural Networks

GPEX, A Framework For Interpreting Artificial Neural Networks

Amir Akbarnejad
G. Bigras
Nilanjan Ray
ArXivPDFHTML

Papers citing "GPEX, A Framework For Interpreting Artificial Neural Networks"

3 / 3 papers shown
Title
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images
Amir Akbarnejad
Nilanjan Ray
P. Barnes
G. Bigras
16
7
0
03 Aug 2023
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen
Sam Daulton
Michael A. Osborne
GP
27
5
0
04 Oct 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015