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A time series is a sequence of sequentially ordered real values in time.
Inceptiontime: Finding alexnet for time series classification
Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F Schmidt, Jonathan Weber, Geoffrey I Webb, Lhassane Idoumghar, Pierre-Alain Muller, and François Petitjean. 2020 · 1962
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Searching and mining trillions of time series subsequences under dynamic time warping. In Proceedings of the 2012 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . ACM, 262–270
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The BOSS is concerned with time series classification in the presence of noise
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Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package)
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Ranking by aggregating referees: Evaluating the informativeness of explanation methods for time series classification. In International Workshop on Advanced Analytics and Learning on Temporal Data . Springer, 3–20
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Minirocket: A very fast (almost) deterministic transform for time series classification. In Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining . 248–257
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Matrix profile xii: Mpdist: a novel time series distance measure to allow data mining in more challenging scenarios. In 2018 IEEE International Conference on Data Mining (ICDM) . IEEE, 965–970
Shaghayegh Gharghabi, Shima Imani, Anthony Bagnall, Amirali Darvishzadeh, and Eamonn Keogh. 2018 · 2018
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The UCR time series archive
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On time series classification with dictionary-based classifiers
James Large, Anthony Bagnall, Simon Malinowski, and Romain Tavenard. 2019 · 2019
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sktime: A unified interface for machine learning with time series
Markus Löning, Anthony Bagnall, Sajaysurya Ganesh, Viktor Kazakov, Jason Lines, and Franz J Király. 2019 · 2019
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catch22: Canonical time-series characteristics
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ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, and Geoffrey I Webb. 2020 · 2020
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The temporal dictionary ensemble (TDE) classifier for time series classification. In Joint European conference on machine learning and knowledge discovery in databases . Springer, 660–676
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Alejandro Pasos Ruiz, Michael Flynn, James Large, Matthew Middlehurst, and Anthony Bagnall. 2021 · 2021
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HYDRA: Competing convolutional kernels for fast and accurate time series classification
Angus Dempster, Daniel F Schmidt, and Geoffrey I Webb. 2022 · 2022
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Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets. In International Conference on Pattern Recognition and Artificial Intelligence . Springer, 653–664
Antoine Guillaume, Christel Vrain, and Wael Elloumi. 2022 · 2022
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Fast Time Series Classification with Random Symbolic Subsequences
Thach Le Nguyen and Georgiana Ifrim. 2022 · 2022
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MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
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https://github.com/patrickzib/dictionary
WEASEL 2.0 - Classifier Source Code and Raw Results. 2022 · 2022
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