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We propose MultiRocket, a fast time series classification (TSC) algorithm that achieves state-of-the-art performance with a tiny fraction of the time and without the complex ensembling structure of many state-of-the-art methods.
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Dempster A, Petitjean F, Webb GI (2020) ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge Discovery 34(5):1454–1495
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Tan CW, Webb GI, Petitjean F (2017) Indexing and classifying gigabytes of time series under time warping. In: Proceedings of the 2017 SIAM international conference on data mining, SIAM, pp 282–290
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Tan CW, Petitjean F, Webb GI (2020) FastEE: Fast Ensembles of Elastic Distances for time series classification. Data Mining and Knowledge Discovery 34(1):231–272
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Dempster A, Schmidt DF, Webb GI (2021) Minirocket: A very fast (almost) deterministic transform for time series classification. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp 248–257
2021
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Herrmann M, Webb GI (2021) Early abandoning and pruning for elastic distances including dynamic time warping. Data Mining and Knowledge Discovery 35(6):2577–2601
2021
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Middlehurst M, Large J, Flynn M, Lines J, Bostrom A, Bagnall A (2021) HIVE-COTE 2.0: a new meta ensemble for time series classification. arXiv preprint arXiv:210407551
2021
Closest in time.
Tan CW, Bergmeir C, Petitjean F, Webb GI (2021) Time series extrinsic regression. Data Mining and Knowledge Discovery 35(3):1032–1060
2021
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