16 citations · 38 across the 5 of their papers we have counts for
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cs.LG2017★ 13 cited
A Shapelet Transform for Multivariate Time Series Classification
Aaron Bostrom, Anthony Bagnall
Shapelets are phase independent subsequences designed for time series classification. We propose three adaptations to the Shapelet Transform (ST) to capture multivariate features i…
cs.LG2017★ 16 cited
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
Anthony Bagnall, Gavin C. Cawley
We demonstrate that, for a range of state-of-the-art machine learning algorithms, the differences in generalisation performance obtained using default parameter settings and using…