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Hugues Moreau
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2020 – today
- 2024
- [i4]Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou:
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. CoRR abs/2402.12392 (2024) - 2023
- [c3]Hugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou:
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. ICDM (Workshops) 2023: 1259-1268 - 2022
- [j1]Hugues Moreau, Andrea Vassilev, Liming Chen:
The Devil is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection. IEEE Trans. Intell. Transp. Syst. 23(8): 12202-12212 (2022) - 2021
- [b1]Hugues Moreau:
Deep Learning for Temporal Multidimensional Signals - an application to Transport Mode Detection. (Apprentissage profond pour les signaux temporels multi-dimensionnels - application à la détection du mode de transport). École centrale de Lyon, Écully, France, 2021 - [c2]Hugues Moreau, Andrea Vassilev, Liming Chen:
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study. EANN 2021: 141-152 - [c1]Hugues Moreau, Andréa Vassilev, Liming Chen:
When Neural Networks Using Different Sensors Create Similar Features. MobiCASE 2021: 69-82 - [i3]Hugues Moreau, Andréa Vassilev, Liming Chen:
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study. CoRR abs/2106.05876 (2021) - [i2]Hugues Moreau, Andréa Vassilev, Liming Chen:
The Devil Is in the Details: An Efficient Convolutional Neural Network for Transport Mode Detection. CoRR abs/2109.09504 (2021) - [i1]Hugues Moreau, Andréa Vassilev, Liming Chen:
When Neural Networks Using Different Sensors Create Similar Features. CoRR abs/2111.02732 (2021)
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last updated on 2024-04-25 02:03 CEST by the dblp team
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