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timeXplain -- A Framework for Explaining the Predictions of Time Series
  Classifiers
v1v2 (latest)

timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers

15 July 2020
Felix Mujkanovic
Vanja Doskoc
Martin Schirneck
Patrick Schäfer
Tobias Friedrich
    FAttAI4TS
ArXiv (abs)PDFHTML

Papers citing "timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers"

8 / 8 papers shown
Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
Moon: A Modality Conversion-based Efficient Multivariate Time Series Anomaly Detection
Yuanyuan Yao
Yuhan Shi
Lu Chen
Ziquan Fang
Yunjun Gao
Leong Hou U
Yushuai Li
Tianyi Li
AI4TS
192
1
0
02 Oct 2025
Towards an MLOps Architecture for XAI in Industrial Applications
Towards an MLOps Architecture for XAI in Industrial Applications
Leonhard Faubel
Thomas Woudsma
Leila Methnani
Amir Ghorbani Ghezeljhemeidan
Fabian Buelow
...
Willem D. van Driel
Benjamin Kloepper
Andreas Theodorou
Mohsen Nosratinia
Magnus Bång
241
6
0
22 Sep 2023
Evaluating Explanation Methods for Multivariate Time Series
  Classification
Evaluating Explanation Methods for Multivariate Time Series Classification
D. Serramazza
Thu Trang Nguyen
Thach le Nguyen
Georgiana Ifrim
FAttAI4TS
314
2
0
29 Aug 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior
  Consistency
Encoding Time-Series Explanations through Self-Supervised Model Behavior ConsistencyNeural Information Processing Systems (NeurIPS), 2023
Owen Queen
Thomas Hartvigsen
Teddy Koker
Huan He
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
396
40
0
03 Jun 2023
Class-Specific Explainability for Deep Time Series Classifiers
Class-Specific Explainability for Deep Time Series ClassifiersIndustrial Conference on Data Mining (IDM), 2022
Ramesh Doddaiah
Prathyush S. Parvatharaju
Elke A. Rundensteiner
Thomas Hartvigsen
FAttAI4TS
242
5
0
11 Oct 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency
  Towards Causal Explanations of Probabilistic Forecasts
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
Chirag Raman
Hayley Hung
Marco Loog
245
3
0
01 Jun 2022
Time Series Model Attribution Visualizations as Explanations
Time Series Model Attribution Visualizations as Explanations
U. Schlegel
Daniel A. Keim
TDIBDLFAttAI4TSXAI
236
19
0
27 Sep 2021
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
FAttAI4TS
313
44
0
17 Sep 2021
1
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