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2007.01027
Cited By
Explaining predictive models with mixed features using Shapley values and conditional inference trees
2 July 2020
Annabelle Redelmeier
Martin Jullum
K. Aas
FAtt
TDI
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Papers citing
"Explaining predictive models with mixed features using Shapley values and conditional inference trees"
7 / 7 papers shown
Title
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models
Jan Kapar
Niklas Koenen
Martin Jullum
66
0
0
29 Apr 2025
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
105
0
0
02 Dec 2024
Improving the Weighting Strategy in KernelSHAP
Lars Henry Berge Olsen
Martin Jullum
TDI
FAtt
77
2
0
07 Oct 2024
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen
I. Glad
Martin Jullum
K. Aas
TDI
FAtt
32
17
0
26 Nov 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Annabelle Redelmeier
Martin Jullum
K. Aas
Anders Løland
BDL
37
11
0
18 Nov 2021
Ensembles of Random SHAPs
Lev V. Utkin
A. Konstantinov
FAtt
18
20
0
04 Mar 2021
Shapley values for feature selection: The good, the bad, and the axioms
D. Fryer
Inga Strümke
Hien Nguyen
FAtt
TDI
8
190
0
22 Feb 2021
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