
Devanne Maxime
@maximedevanne
Associate Professor of Computer Science at @UHA68 / @Ensisa_Mulhouse machine learning - computer vision - time series - human motion analysis
ID: 1177511913393016832
http://maxime-devanne.com 27-09-2019 09:15:08
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At #EGC2024 with Ali El Hadi ISMAIL FAWAZ, Jonathan Weber and Germain Forestier to give a tutorial on Deep Learning for Time Series Classification using Aeon Toolkit (aeon). Check our dedicated DL-4-TSC webpage: msd-irimas.github.io/pages/dl4tsc/


📢📢📢 Paper submissions to FG'24 main conference is over! However, you can still submit to workshops, take part in competitions, and submit a demo. Demo submissions: fg2024.ieee-biometrics.org/call-for-demos/ Workshops: fg2024.ieee-biometrics.org/workshops/ Competitions: fg2024.ieee-biometrics.org/competitions/



9th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2024) event located at the ECML PKDD 2024. Learn more about ML and temporal data analysis! @heerme ML-Labs UCD Computer Science Romain Tavenard 👉🏼 More info: ecml-aaltd.github.io/aaltd2024/peop…




bake off redux is online first, it reviews and compares recent algorithms for time series classification using the Aeon Toolkit (aeon) for the vast majority of experiments link.springer.com/article/10.100…



Very nice week at #FG2024, ended up with our LFA Workshop discussing solutions to handle the lack of annotated face and gesture data. A big thanks to all presenters and participants! Co-organized with Daoudi Mohamed, stefano berretti, Germain Forestier and Jonathan Weber.





The 1st #MovementAnalysis dataset for #PhysicalRehabilitation with patients data throughout a 3w clinical care with Poppy project will be presented at #IJCNN #WCCI #WCCI2024 🕝Thu, July 4, 2024 14:20 ML - Mixture models session 📃nguyensmai.free.fr/KeraalDataset.… 📽️youtu.be/3JcuXye-I4A

Check out the ShapeDBA paper here: ecml-aaltd.github.io/aaltd2024/arti… source code: github.com/MSD-IRIMAS/Wei… Thanks to the co-authors Devanne Maxime stefano berretti Jonathan Weber and Germain Forestier