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Time Series Model Attribution Visualizations as Explanations

Time Series Model Attribution Visualizations as Explanations

27 September 2021
U. Schlegel
Daniel A. Keim
    TDI
    BDL
    FAtt
    AI4TS
    XAI
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Papers citing "Time Series Model Attribution Visualizations as Explanations"

8 / 8 papers shown
Title
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain
Yuanmin Huang
Mi Zhang
Zhaoxiang Wang
Wenxuan Li
Min Yang
AAML
AI4TS
59
0
0
12 Mar 2025
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
80
28
0
30 Aug 2024
Interactive dense pixel visualizations for time series and model
  attribution explanations
Interactive dense pixel visualizations for time series and model attribution explanations
U. Schlegel
Daniel A. Keim
FAtt
AI4TS
XAI
21
0
0
27 Aug 2024
Introducing the Attribution Stability Indicator: a Measure for Time
  Series XAI Attributions
Introducing the Attribution Stability Indicator: a Measure for Time Series XAI Attributions
U. Schlegel
Daniel A. Keim
AI4TS
36
1
0
06 Oct 2023
Visual Explanations with Attributions and Counterfactuals on Time Series
  Classification
Visual Explanations with Attributions and Counterfactuals on Time Series Classification
U. Schlegel
Daniela Oelke
Daniel A. Keim
Mennatallah El-Assady
AI4TS
FAtt
43
4
0
14 Jul 2023
A Deep Dive into Perturbations as Evaluation Technique for Time Series
  XAI
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI
U. Schlegel
Daniel A. Keim
AAML
AI4TS
35
7
0
11 Jul 2023
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
43
30
0
17 Sep 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
1