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Towards a Rigorous Evaluation of Explainability for Multivariate Time
  Series

Towards a Rigorous Evaluation of Explainability for Multivariate Time Series

6 April 2021
Rohit Saluja
A. Malhi
Samanta Knapic
Kary Främling
C. Cavdar
    XAIAI4TS
ArXiv (abs)PDFHTMLGithub (25354★)

Papers citing "Towards a Rigorous Evaluation of Explainability for Multivariate Time Series"

8 / 8 papers shown
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
Hongnan Ma
Yiwei Shi
Guanxiong Sun
Mengyue Yang
Weiru Liu
AI4TS
155
0
0
09 Nov 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez
Florian Sobieczky
AI4TS
504
0
0
17 Jan 2025
TSFeatLIME: An Online User Study in Enhancing Explainability in
  Univariate Time Series Forecasting
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series ForecastingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2024
Hongnan Ma
Kevin McAreavey
Weiru Liu
AI4TSFAtt
230
3
0
24 Sep 2024
Designing forecasting software for forecast users: Empowering
  non-experts to create and understand their own forecasts
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts
Richard Stromer
Oskar Triebe
Chad Zanocco
Ram Rajagopal
AI4TS
208
0
0
22 Apr 2024
TsSHAP: Robust model agnostic feature-based explainability for time
  series forecasting
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting
V. Raykar
Arindam Jati
Sumanta Mukherjee
Nupur Aggarwal
Kanthi Kiran Sarpatwar
Giridhar Ganapavarapu
Roman Vaculin
FAttAI4TS
243
7
0
22 Mar 2023
On Trustworthy Decision-Making Process of Human Drivers from the View of
  Perceptual Uncertainty Reduction
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction
Huanjie Wang
Haibin Liu
Wenshuo Wang
Lijun Sun
210
6
0
15 Oct 2022
Automated Mobility Context Detection with Inertial Signals
Automated Mobility Context Detection with Inertial Signals
Antonio Bevilacqua
L. Alcock
Brian Caulfield
Eran Gazit
C. Hansen
N. Ireson
Georgiana Ifrim
164
1
0
16 May 2022
Explainable Predictive Modeling for Limited Spectral Data
Explainable Predictive Modeling for Limited Spectral DataChemometrics and Intelligent Laboratory Systems (CILS), 2022
Frantishek Akulich
Hadis Anahideh
Manaf Sheyyab
Dhananjay Ambre
138
29
0
09 Feb 2022
1
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