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Feature Importance for Time Series Data: Improving KernelSHAP

Feature Importance for Time Series Data: Improving KernelSHAP

5 October 2022
M. Villani
J. Lockhart
Daniele Magazzeni
    FAtt
    AI4TS
ArXivPDFHTML

Papers citing "Feature Importance for Time Series Data: Improving KernelSHAP"

5 / 5 papers shown
Title
TimeInf: Time Series Data Contribution via Influence Functions
TimeInf: Time Series Data Contribution via Influence Functions
Yizi Zhang
Jingyan Shen
Xiaoxue Xiong
Yongchan Kwon
AI4TS
TDI
26
0
0
21 Jul 2024
Explaining Clustering of Ecological Momentary Assessment Data Through
  Temporal and Feature Attention
Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
16
0
0
08 May 2024
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini
Shubham Sharma
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
46
2
0
13 Jul 2023
Interpretation of Time-Series Deep Models: A Survey
Interpretation of Time-Series Deep Models: A Survey
Ziqi Zhao
Yucheng Shi
Shushan Wu
Fan Yang
Wenzhan Song
Ninghao Liu
AI4TS
34
6
0
23 May 2023
FastSHAP: Real-Time Shapley Value Estimation
FastSHAP: Real-Time Shapley Value Estimation
N. Jethani
Mukund Sudarshan
Ian Covert
Su-In Lee
Rajesh Ranganath
TDI
FAtt
67
122
0
15 Jul 2021
1