Session “Machine learning for time series” at 2nd Symposium GDR MADICS – 07/07/2020 (Half-day)

In the context of the 2nd Symposium of GDR MADICS, 6-9 July 2020 (, the MACLEAN action will organise a half-day session on “Machine Learning for times series”.

The session will be held virtually on the BBB (BigBlueButton) Web Conferencing on Tuesday, July 7 from 14:00 to 17:00. Here is the preliminary program:

  • 14h00 – 14h05 : Welcome
  • 14h05 – 15h00 : Deep learning for time series classification, Germain Forestier, Université Haute-Alsace, France
  • 15h00 – 15h20 : Tslearn: A machine learning toolkit dedicated to time-series data, Romain Tavenard, Université Rennes 2, France
  • 15h20 – 15h40 : BreizhCrops: A Time Series Dataset for Crop Type Mapping, Marc Rußwurm, TU Munich, Germany
  • 15h40 – 16h20 : Hands-on training: Breizhcrops Benchmark analysis with Tslearn library, Marc Rußwurm, TU Munich, Germany
  • 16h20 – 17h00 : Panel discussion: machine learning, time series, and Earth Observation: opportunities and challenges, Charlotte Pelletier (Université Bretagne Sud), Dino Ienco (IRSTEA/UMR Tetis), Germain Forestier (Université Haute-Alsace), Sébastien Lefèvre (Université Bretagne Sud)

Here is the BBB access link to the session:

MACLEAN chairs: Thomas Corpetti, Dino Ienco, Sébastien Lefèvre, Minh-Tan Pham

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