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On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0).

, , , , and . CoRR, (2020)

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Scalable Dictionary Classifiers for Time Series Classification., , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 11-19. Springer, (2019)A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency., , , , and . CoRR, (2019)HIVE-COTE 2.0: a new meta ensemble for time series classification., , , , , and . CoRR, (2021)Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression., , , , and . CoRR, (2023)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)A review and evaluation of elastic distance functions for time series clustering., , and . Knowl. Inf. Syst., 66 (2): 765-809 (February 2024)A Review and Evaluation of Elastic Distance Functions for Time Series Clustering., , and . CoRR, (2022)On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0)., , , , and . CoRR, (2020)Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression., and . AALTD@ECML/PKDD, volume 14343 of Lecture Notes in Computer Science, page 113-126. Springer, (2023)Bake off redux: a review and experimental evaluation of recent time series classification algorithms., , and . CoRR, (2023)