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Explaining Drift using Shapley Values

Explaining Drift using Shapley Values

18 January 2024
N. Edakunni
Utkarsh Tekriwal
Anukriti Jain
    FAtt
    FedML
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Papers citing "Explaining Drift using Shapley Values"

4 / 4 papers shown
Title
A Framework for Explainable Concept Drift Detection in Process Mining
A Framework for Explainable Concept Drift Detection in Process Mining
Jan Niklas Adams
S. V. Zelst
Lara Quack
Kathrin Hausmann
Wil M.P. van der Aalst
Thomas Rose
16
23
0
27 May 2021
Learning under Concept Drift: A Review
Learning under Concept Drift: A Review
Jie Lu
Anjin Liu
Fan Dong
Feng Gu
João Gama
Guangquan Zhang
AI4TS
51
1,262
0
13 Apr 2020
The many Shapley values for model explanation
The many Shapley values for model explanation
Mukund Sundararajan
A. Najmi
TDI
FAtt
53
628
0
22 Aug 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
682
21,613
0
22 May 2017
1