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From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification

Maciej Mozolewski et al.

Information Systems Frontiers2026https://doi.org/10.1007/s10796-026-10711-9article
AJG 3ABDC A
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0.50

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https://doi.org/https://doi.org/10.1007/s10796-026-10711-9

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@article{maciej2026,
  title        = {{From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification}},
  author       = {Maciej Mozolewski et al.},
  journal      = {Information Systems Frontiers},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10796-026-10711-9},
}

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From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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