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Class-Specific Explainability for Deep Time Series Classifiers

Class-Specific Explainability for Deep Time Series Classifiers

11 October 2022
Ramesh Doddaiah
Prathyush S. Parvatharaju
Elke A. Rundensteiner
Thomas Hartvigsen
    FAtt
    AI4TS
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Papers citing "Class-Specific Explainability for Deep Time Series Classifiers"

4 / 4 papers shown
Title
Explanation Space: A New Perspective into Time Series Interpretability
Explanation Space: A New Perspective into Time Series Interpretability
Shahbaz Rezaei
Xin Liu
AI4TS
29
0
0
02 Sep 2024
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series
  Forecast Models
TS-MULE: Local Interpretable Model-Agnostic Explanations for Time Series Forecast Models
U. Schlegel
D. Lam
Daniel A. Keim
Daniel Seebacher
FAtt
AI4TS
32
27
0
17 Sep 2021
What went wrong and when? Instance-wise Feature Importance for
  Time-series Models
What went wrong and when? Instance-wise Feature Importance for Time-series Models
S. Tonekaboni
Shalmali Joshi
Kieran Campbell
D. Duvenaud
Anna Goldenberg
FAtt
OOD
AI4TS
36
14
0
05 Mar 2020
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
191
1,674
0
06 Jun 2016
1