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The Great Time Series Classification Bake Off: A Review and Experimental Evaluation of Recently Proposed Algorithms

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The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances., , , , and . Data Min. Knowl. Discov., 35 (2): 401-449 (2021)Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning., , , , and . PAKDD (1), volume 10937 of Lecture Notes in Computer Science, page 298-309. Springer, (2018)The Great Time Series Classification Bake Off: A Review and Experimental Evaluation of Recently Proposed Algorithms, , , and . (2016)The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy., , and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 381-392. Springer, (2019)Mixing Hetero- and Homogeneous Models in Weighted Ensembles., and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 129-136. Springer, (2019)HIVE-COTE 2.0: a new meta ensemble for time series classification., , , , , and . CoRR, (2021)On time series classification with dictionary-based classifiers., , , and . Intell. Data Anal., 23 (5): 1073-1089 (2019)On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0)., , , , and . CoRR, (2020)A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates., , and . Data Min. Knowl. Discov., 33 (6): 1674-1709 (2019)The Canonical Interval Forest (CIF) Classifier for Time Series Classification., , and . IEEE BigData, page 188-195. IEEE, (2020)