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Improving Position Encoding of Transformers for Multivariate Time Series Classification


May 26, 2023
Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi

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An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set


May 19, 2023
Ali Ismail-Fawaz, Angus Dempster, Chang Wei Tan, Matthieu Herrmann, Lynn Miller, Daniel F. Schmidt, Stefano Berretti, Jonathan Weber, Maxime Devanne, Germain Forestier, Geoffrey I. Webb

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Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series


Apr 13, 2023
Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb

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Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey


Feb 06, 2023
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi

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Parameterizing the cost function of Dynamic Time Warping with application to time series classification


Jan 24, 2023
Matthieu Herrmann, Chang Wei Tan, Geoffrey I. Webb

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SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting


Nov 16, 2022
Rakshitha Godahewa, Geoffrey I. Webb, Daniel Schmidt, Christoph Bergmeir

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* 38 pages, 2 figures, 7 tables 

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Deep Learning for Time Series Anomaly Detection: A Survey


Nov 09, 2022
Zahra Zamanzadeh Darban, Geoffrey I. Webb, Shirui Pan, Charu C. Aggarwal, Mahsa Salehi

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HYDRA: Competing convolutional kernels for fast and accurate time series classification


Mar 25, 2022
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb

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* 27 pages, 18 figures 

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Estimating Divergences in High Dimensions


Dec 08, 2021
Loong Kuan Lee, Nico Piatkowski, François Petitjean, Geoffrey I. Webb

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* 13 pages, 6 Figures. Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence 

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Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping


Nov 26, 2021
Matthieu Herrmann, Geoffrey I. Webb

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* Submitted to Pattern Recognition 

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