320 citations · 499 across the 6 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★ 2 cited
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings
Anthony Bagnall, Aaron Bostrom, James Large +1
There are now a broad range of time series classification (TSC) algorithms designed to exploit different representations of the data. These have been evaluated on a range of proble…