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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
    XAI
    AI4TS
ArXivPDFHTML

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

4 / 4 papers shown
Title
Surrogate Modeling for Explainable Predictive Time Series Corrections
Surrogate Modeling for Explainable Predictive Time Series Corrections
Alfredo Lopez
Florian Sobieczky
AI4TS
58
0
0
17 Jan 2025
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
27
0
0
22 Apr 2024
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
30
1
0
16 May 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
259
3,698
0
28 Feb 2017
1