GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
Jinwoong Kim, Sangjin Park
cs.LG, cs.AI, cs.GT
Submitted: 2026-08-21
Updated: 2026-08-24
Comments: 12 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- On the Robustness of Interpretability Methods
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- Towards A Rigorous Science of Interpretable Machine Learning
- groupShapley: Efficient prediction explanation with Shapley values for feature groups
- C-SHAP for time series: An approach to high-level temporal explanations
- Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
- Temporal Dependencies in Feature Importance for Time Series Predictions
- Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions
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