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Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis

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https://hal.telecom-paris.fr/hal-03559364
Contributor : Stephan Clémençon Connect in order to contact the contributor
Submitted on : Sunday, February 6, 2022 - 4:09:11 PM
Last modification on : Friday, May 20, 2022 - 4:02:08 PM

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Stéphan Clémençon, Safa Boudabous, Houda Labiod, Julian Garbiso. Dynamic Graph Convolutional LSTM application for traffic flow estimation from error-prone measurements: results and transferability analysis. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), Oct 2021, Porto, Portugal. pp.1-10, ⟨10.1109/DSAA53316.2021.9564245⟩. ⟨hal-03559364⟩

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