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Instance-based Counterfactual Explanations for Time Series
  Classification

Instance-based Counterfactual Explanations for Time Series Classification

28 September 2020
Eoin Delaney
Derek Greene
Mark T. Keane
    CML
    AI4TS
ArXivPDFHTML

Papers citing "Instance-based Counterfactual Explanations for Time Series Classification"

4 / 4 papers shown
Title
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
27
0
0
10 Oct 2024
CausalConceptTS: Causal Attributions for Time Series Classification
  using High Fidelity Diffusion Models
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models
Juan Miguel Lopez Alcaraz
Nils Strodthoff
DiffM
AI4TS
CML
24
2
0
24 May 2024
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
Audrey Der
Chin-Chia Michael Yeh
Yan Zheng
Junpeng Wang
Zhongfang Zhuang
Liang Wang
Wei Zhang
Eamonn J. Keogh
AI4TS
30
2
0
16 Jan 2024
TraCE: Trajectory Counterfactual Explanation Scores
TraCE: Trajectory Counterfactual Explanation Scores
Jeffrey N Clark
Edward A. Small
Nawid Keshtmand
Michelle W.L. Wan
Elena Fillola Mayoral
Enrico Werner
Christopher P Bourdeaux
Raúl Santos-Rodríguez
10
1
0
27 Sep 2023
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