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Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances.

, , , , , , , and . ICDE, page 521-532. IEEE Computer Society, (2018)

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Towards More Accurate Time Series Data Mining by Constraining Model's Flexibility.. University of California, Riverside, USA, (2019)Generalized Dynamic Time Warping: Unleashing the Warping Power Hidden in Point-Wise Distances., , , , , , , and . ICDE, page 521-532. IEEE Computer Society, (2018)Generating Synthetic Time Series to Augment Sparse Datasets., , , , and . ICDM, page 865-870. IEEE Computer Society, (2017)Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models., , , , and . ECC, page 1017-1022. IEEE, (2019)The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code., , , , , , , , , and 2 other author(s). Data Min. Knowl. Discov., 34 (4): 949-979 (2020)Online Amnestic DTW to allow Real-Time Golden Batch Monitoring., , , , , and . KDD, page 2604-2612. ACM, (2019)Evolving PCB visual inspection programs using genetic programming., , , and . IVCNZ, page 406-411. IEEE, (2013)Anomaly Detection Using Replicator Neural Networks Trained on Examples of One Class., , and . SEAL, volume 8886 of Lecture Notes in Computer Science, page 311-322. Springer, (2014)Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery., and . KDD, page 125-134. ACM, (2017)Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series., , , , , and . IEEE BigData, page 917-922. IEEE Computer Society, (2017)