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FastEE: Fast Ensembles of Elastic Distances for time series classification
Data Mining and Knowledge Discovery, no. 1 (2020): 231-272
EI
Abstract
In recent years, many new ensemble-based time series classification (TSC) algorithms have been proposed. Each of them is significantly more accurate than their predecessors. The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is currently the most accurate TSC algorithm when assessed on the UCR repository. It is...More
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