technique

shapelet-based time-series classification

techniqueactiveshapelet-based-time-series-classification-52022f4e·1 events·first seen 27d ago

Aliases: shapelet-based time-series classification

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UEA Time Series Classification Repository UCR Time Series Archive INSHAPE

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Probabilistic Time Series Forecasting UEA Time Series Classification Repository Graph Classification Selective Classification neural network image classifiers backpropagation through time multivariate time series representation learning Temporal Difference Learning scikit-learn Time Series Foundation Models time-series forecasting rubric-based reward shaping

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4arXiv · cs.AI·27d ago·source ↗

INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification

INSHAPE is a new interpretable time-series classification framework that discovers variable-length discriminative temporal patterns specific to individual instances rather than across the full dataset population. It models temporal dependencies among non-overlapping segments and bridges local and global interpretability via a bottom-up aggregation into prototypical shapelets. Evaluated on 128 UCR and 30 UEA benchmark datasets, INSHAPE outperforms state-of-the-art shapelet-based methods while offering more intuitive instance-level explanations.

Evaluation and Benchmarking UEA Time Series Classification Repository shapelet-based time-series classification UCR Time Series Archive +1 more