realMoana/awesome-time-series-explanation-papers

Collection of research papers on time series explainability

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Emerging

This collection helps researchers and practitioners understand why time-series models make certain predictions or classifications. It curates a wide range of research papers on time series explanation and interpretability, from basic signal analysis to advanced, human-like reasoning. You can find methods for explaining forecasting, anomaly detection, and classification results across various fields.

Use this if you need to quickly find, compare, and understand different approaches to making your time series analysis models explainable and trustworthy.

Not ideal if you are looking for ready-to-use code implementations or a tutorial on how to apply specific time series explanation techniques.

predictive-modeling data-analysis anomaly-detection forecasting-explanation model-interpretability
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 9 / 25

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MIT

Last pushed

Mar 05, 2026

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