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An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury
13 August 2022
Amin Nayebi
Sindhu Tipirneni
Brandon Foreman
Chandan K. Reddy
V. Subbian
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Papers citing
"An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury"
5 / 5 papers shown
Title
Towards Robust Interpretability with Self-Explaining Neural Networks
David Alvarez-Melis
Tommi Jaakkola
MILM
XAI
116
938
0
20 Jun 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot
Patrick McDaniel
OOD
AAML
112
505
0
13 Mar 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
91
2,332
0
01 Nov 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
Wojciech Samek
Thomas Wiegand
K. Müller
XAI
VLM
62
1,186
0
28 Aug 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
746
16,828
0
16 Feb 2016
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