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An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
16 June 2021
Lev V. Utkin
A. Konstantinov
Kirill Vishniakov
FAtt
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Papers citing
"An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data"
6 / 6 papers shown
Title
Explaining a probabilistic prediction on the simplex with Shapley compositions
Paul-Gauthier Noé
Miquel Perelló Nieto
J. Bonastre
Peter Flach
TDI
FAtt
21
0
0
02 Aug 2024
The Shapley Value of Classifiers in Ensemble Games
Benedek Rozemberczki
Rik Sarkar
FAtt
FedML
TDI
45
33
0
06 Jan 2021
A Survey on Neural Network Interpretability
Yu Zhang
Peter Tiño
A. Leonardis
K. Tang
FaML
XAI
129
654
0
28 Dec 2020
Looking Deeper into Tabular LIME
Damien Garreau
U. V. Luxburg
FAtt
LMTD
104
30
0
25 Aug 2020
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
98
89
0
18 Mar 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
102
1,229
0
02 Jun 2016
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