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Interpreting Black Box Models via Hypothesis Testing
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Interpreting Black Box Models via Hypothesis Testing

Collin Burns
Jesse Thomason
Wesley Tansey
    FAtt
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Papers citing "Interpreting Black Box Models via Hypothesis Testing"

4 / 4 papers shown
Title
SurvNAM: The machine learning survival model explanation
SurvNAM: The machine learning survival model explanation
Lev V. Utkin
Egor D. Satyukov
A. Konstantinov
AAMLFAtt
93
30
0
18 Apr 2021
SurvLIME: A method for explaining machine learning survival models
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
292
91
0
18 Mar 2020
An explanation method for Siamese neural networks
An explanation method for Siamese neural networks
Lev V. Utkin
M. Kovalev
E. Kasimov
59
15
0
18 Nov 2019
Computationally Efficient Feature Significance and Importance for Machine Learning Models
Computationally Efficient Feature Significance and Importance for Machine Learning Models
Enguerrand Horel
K. Giesecke
FAtt
55
9
0
23 May 2019