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Data Augmentation for Time Series Classification using Convolutional Neural Networks, , and . (2016)Optimal Transport for structured data with application on graphs, , , , and . (2018)cite arxiv:1805.09114.Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data., , , and . Mach. Learn., 112 (6): 1975-2001 (June 2023)Tslearn, A Machine Learning Toolkit for Time Series Data., , , , , , , , , and 1 other author(s). J. Mach. Learn. Res., (2020)POT: Python Optimal Transport., , , , , , , , , and 12 other author(s). J. Mach. Learn. Res., (2021)Online handwriting trajectory reconstruction from kinematic sensors using temporal convolutional network., , , , and . Int. J. Document Anal. Recognit., 26 (3): 289-302 (September 2023)Balancing clusters to reduce response time variability in large scale image search., , and . CBMI, page 19-24. IEEE, (2011)Localized Random Shapelets., , , and . AALTD@PKDD/ECML, volume 11986 of Lecture Notes in Computer Science, page 85-97. Springer, (2019)Early Classification for Agricultural Monitoring from Satellite Time Series., , , and . CoRR, (2019)Time Series Alignment with Global Invariances., , , , , and . CoRR, (2020)