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WindowSHAP: An Efficient Framework for Explaining Time-series
  Classifiers based on Shapley Values
v1v2 (latest)

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

Journal of Biomedical Informatics (JBI), 2022
11 November 2022
Amin Nayebi
Sindhu Tipirneni
Chandan K. Reddy
Brandon Foreman
V. Subbian
    FAttAI4TS
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Title
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
Lightweight Time Series Data Valuation on Time Series Foundation Models via In-Context Finetuning
Shunyu Wu
Tianyue Li
Yixuan Leng
Jingyi Suo
Jian Lou
Dan Li
See-Kiong Ng
AI4TS
60
0
0
10 Nov 2025
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
Bosong Huang
Ming Jin
Yuxuan Liang
Johan Barthelemy
Debo Cheng
Qingsong Wen
Chenghao Liu
Shirui Pan
AI4TS
124
0
0
23 Oct 2025
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
Maciej Mozolewski
Betül Bayrak
Kerstin Bach
Grzegorz J. Nalepa
83
1
0
22 Oct 2025
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
HyMaTE: A Hybrid Mamba and Transformer Model for EHR Representation Learning
Md Mozaharul Mottalib
T. Phan
Rahmatollah Beheshti
Mamba
130
1
0
28 Sep 2025
Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
Explainable Unsupervised Multi-Anomaly Detection and Temporal Localization in Nuclear Times Series Data with a Dual Attention-Based Autoencoder
Konstantinos Vasili
Zachery T. Dahm
Stylianos Chatzidakis
AI4TS
124
0
0
15 Sep 2025
An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
Konstantinos Vasili
Zachery T. Dahm
William Richards
AAML
122
2
0
05 Aug 2025
TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment
Shunyu Wu
Dan Li
Haozheng Ye
Zhuomin Chen
Jiahui Zhou
Jian Lou
Zibin Zheng
See-Kiong Ng
AI4TS
179
0
0
02 Jun 2025
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
165
2
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
338
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
373
23
0
16 Nov 2023
1