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An Examination of the State-of-the-Art for Multivariate Time Series Classification.

, , , and . ICDM (Workshops), page 243-250. IEEE, (2020)

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An Examination of the State-of-the-Art for Multivariate Time Series Classification., , , and . ICDM (Workshops), page 243-250. IEEE, (2020)Fast Time Series Classification with Random Symbolic Subsequences., and . AALTD@ECML/PKDD, volume 13812 of Lecture Notes in Computer Science, page 50-65. Springer, (2022)MrSQM: Fast Time Series Classification with Symbolic Representations., and . CoRR, (2021)An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification., , , , , , , and . ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 312-329. Springer, (2023)A Model-Agnostic Approach to Quantifying the Informativeness of Explanation Methods for Time Series Classification., , and . AALTD@PKDD/ECML, volume 12588 of Lecture Notes in Computer Science, page 77-94. Springer, (2020)Ranking by Aggregating Referees: Evaluating the Informativeness of Explanation Methods for Time Series Classification., , , and . AALTD@ECML/PKDD, volume 13114 of Lecture Notes in Computer Science, page 3-20. Springer, (2021)Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms., , and . AALTD@ECML/PKDD, volume 14343 of Lecture Notes in Computer Science, page 205-229. Springer, (2023)Social-Aware Document Similarity Computation for Recommender Systems., and . DASC, page 872-878. IEEE Computer Society, (2011)Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers., , , , , , , , and . Data Min. Knowl. Discov., 37 (2): 873-912 (March 2023)Fast Channel Selection for Scalable Multivariate Time Series Classification., , and . AALTD@ECML/PKDD, volume 13114 of Lecture Notes in Computer Science, page 36-54. Springer, (2021)