Schedule
The tutorial is on Sunday, October 12 starting at 09:00 in the Lloyd Suite. The speakers will be available afterwards for Q&A, and questions are always welcome on the aeon Slack (details on the website) or via email.
We will try to get all slides and accompanying code examples uploaded before the tutorial. If we are unable to, we will upload them after.
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Introduction to time series classification and aeon - (09:00, 10 Minutes, by Anthony Bagnall)
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Time series classification algorithms - (09:10, 40 Minutes, by Anthony Bagnall)
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Deep learning for time series classification - (09:50, 40 Minutes, by Germain Forestier)
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Break (10:30, 30 Minutes)
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Segmentation of time series for classification - (11:00, 25 Minutes, by Arik Ermshaus)
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Whats next? Recent advances for unequal length, unbalanced and high dimensional time series and conclusions - (11:25, 35 Minutes, by Anthony Bagnall)