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Efficient Interpretation of Deep Learning Models Using Graph Structure
  and Cooperative Game Theory: Application to ASD Biomarker Discovery

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery

14 December 2018
Xiaoxiao Li
Nicha Dvornek
Yuan Zhou
Juntang Zhuang
P. Ventola
James S. Duncan
ArXivPDFHTML

Papers citing "Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery"

4 / 4 papers shown
Title
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI
Xiaoxiao Li
Nicha Dvornek
Juntang Zhuang
P. Ventola
James S. Duncan
59
70
0
23 Aug 2018
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured
  Data
L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data
Jianbo Chen
Le Song
Martin J. Wainwright
Michael I. Jordan
FAtt
TDI
63
213
0
08 Aug 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
335
21,459
0
22 May 2017
Visualizing Deep Neural Network Decisions: Prediction Difference
  Analysis
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis
L. Zintgraf
Taco S. Cohen
T. Adel
Max Welling
FAtt
93
707
0
15 Feb 2017
1