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Gerard Carrigan

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#machine learning Preprint Aug 2026

Revisiting WEASEL 2.0: Reproduction, Sensitivity, and an Adaptive Ensemble-Size Rule

This work reproduces WEASEL 2.0 on 114 UCR datasets and tests the sensitivity of four design choices: the downstream classifier, the absence of feature weighting, the maximum window-size rule, the maximum ensemble-size rule, and the maximum ensemble-size rule.

C. Higgins, Gerard Carrigan, Pinar Sungu Isiacik et al. · 0 citations