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A Shapelet Transform for Multivariate Time Series Classification., and . CoRR, (2017)Binary Shapelet Transform for Multiclass Time Series Classification., and . DaWaK, volume 9263 of Lecture Notes in Computer Science, page 257-269. Springer, (2015)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)An ultra-fast time series distance measure to allow data mining in more complex real-world deployments., , , , and . Data Min. Knowl. Discov., 34 (4): 1104-1135 (2020)A Hybrid Approach to Time Series Classification with Shapelets., , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 137-144. Springer, (2019)Classifying Flies Based on Reconstructed Audio Signals., and . IDEAL (2), volume 11872 of Lecture Notes in Computer Science, page 249-258. Springer, (2019)On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms., and . CoRR, (2017)An Agent Model for First Price and Second Price Private Value Auctions., and . Artificial Evolution, volume 2936 of Lecture Notes in Computer Science, page 281-292. Springer, (2003)A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series., , and . PAKDD, volume 3518 of Lecture Notes in Computer Science, page 737-743. Springer, (2005)A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency., , , , and . CoRR, (2019)