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Counterfactual Explanations for Machine Learning on Multivariate Time
  Series Data

Counterfactual Explanations for Machine Learning on Multivariate Time Series Data

25 August 2020
E. Ates
Burak Aksar
V. Leung
A. Coskun
    AI4TS
ArXivPDFHTML

Papers citing "Counterfactual Explanations for Machine Learning on Multivariate Time Series Data"

11 / 11 papers shown
Title
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
37
0
0
10 Oct 2024
Explainable AI needs formal notions of explanation correctness
Explainable AI needs formal notions of explanation correctness
Stefan Haufe
Rick Wilming
Benedict Clark
Rustam Zhumagambetov
Danny Panknin
Ahcène Boubekki
XAI
31
0
0
22 Sep 2024
Counterfactual Explanations for Multivariate Time-Series without
  Training Datasets
Counterfactual Explanations for Multivariate Time-Series without Training Datasets
Xiangyu Sun
Raquel Aoki
Kevin H. Wilson
21
1
0
28 May 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
29
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
43
2
0
16 Jan 2024
Counterfactual Explanations for Time Series Forecasting
Counterfactual Explanations for Time Series Forecasting
Zhendong Wang
Ioanna Miliou
Isak Samsten
P. Papapetrou
BDL
AI4TS
OOD
29
4
0
12 Oct 2023
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
28
1
0
27 Sep 2023
Explainable AI for Time Series via Virtual Inspection Layers
Explainable AI for Time Series via Virtual Inspection Layers
Johanna Vielhaben
Sebastian Lapuschkin
G. Montavon
Wojciech Samek
XAI
AI4TS
10
25
0
11 Mar 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual
  Explanations on the Investigation of Anomalies in Multivariate Time Series
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series
Max Schemmer
Joshua Holstein
Niklas Bauer
Niklas Kühl
G. Satzger
28
2
0
07 Feb 2023
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
195
0
06 Apr 2017
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
207
1,895
0
06 Jun 2016
1