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WindowSHAP: An Efficient Framework for Explaining Time-series
  Classifiers based on Shapley Values

WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values

11 November 2022
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
Brandon Foreman
V. Subbian
    FAtt
    AI4TS
ArXivPDFHTML

Papers citing "WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values"

3 / 3 papers shown
Title
C-SHAP for time series: An approach to high-level temporal explanations
C-SHAP for time series: An approach to high-level temporal explanations
Annemarie Jutte
Faizan Ahmed
Jeroen Linssen
Maurice van Keulen
AI4TS
28
0
0
15 Apr 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez
Florian Sobieczky
AI4TS
45
0
0
17 Jan 2025
Inherently Interpretable Time Series Classification via Multiple
  Instance Learning
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early
Gavin K. C. Cheung
Kurt Cutajar
Hanting Xie
Jas Kandola
Niall Twomey
AI4TS
33
11
0
16 Nov 2023
1