Towards plausibility in time series counterfactual explanations

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OptunaHub: A Platform for Black-Box Optimization
2025Yoshihiko Ozaki, Shuhei Watanabe et al.
[2]
No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning
2025Xiangyu Sun, Raquel Aoki et al.
[3]
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
2024Peiyu Li, O. Bahri et al.
[4]
Glacier: guided locally constrained counterfactual explanations for time series classification
2024Zhendong Wang, Isak Samsten et al.
[5]
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
2024Qi Huang, Wei Chen et al.
[6]
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields
2024Francesco Spinnato, Riccardo Guidotti et al.
[7]
Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems
2024Mario Refoyo, David Luengo
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CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps
2023Peiyu Li, O. Bahri et al.
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2023Longo Luca, Mario Brcic et al.
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Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems
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2023Wenli Yang, Yuchen Wei et al.
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2023Sajid Ali, T. Abuhmed et al.
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TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification
2022Jacqueline Höllig, Cedric Kulbach et al.
[14]
Counterfactual explanations and how to find them: literature review and benchmarking
2022Riccardo Guidotti
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HIVE-COTE 2.0: a new meta ensemble for time series classification
2021Matthew Middlehurst, J. Large et al.
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Learning Time Series Counterfactuals via Latent Space Representations
2021Zhendong Wang, Isak Samsten et al.
[17]
Instance-Based Counterfactual Explanations for Time Series Classification
2020Eoin Delaney, Derek Greene et al.
[18]
Counterfactual Explanations for Multivariate Time Series
2020E. Ates, Burak Aksar et al.
[19]
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
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"Generate plausible counterfactual explanations for time series classification using gradient-based optimization and soft-DTW alignment, enabling more realistic temporal structure."

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