| Forecasting dynamic public transport origin-destination matrices with long-short term memory recurrent neural networks F Toqué, E Côme, MK El Mahrsi, L Oukhellou 2016 IEEE 19th international conference on intelligent transportation …, 2016 | 144 | 2016 |
| Short & long term forecasting of multimodal transport passenger flows with machine learning methods F Toqué, M Khouadjia, E Come, M Trepanier, L Oukhellou 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 107 | 2017 |
| Short-term multi-step ahead forecasting of railway passenger flows during special events with machine learning methods F Toqué, E Côme, L Oukhellou, M Trépanier CASPT 2018, Conference on Advanced Systems in Public Transport and …, 2018 | 17 | 2018 |
| Forecasting of the Montreal subway smart card entry logs with event data F Toqué, E Côme, M Trépanier, L Oukhellou arXiv preprint arXiv:2008.09842, 2020 | 6 | 2020 |
| Prévision et visualisation de l'affluence dans les transports en commun à l'aide de méthodes d'apprentissage automatique F Toqué Université Paris-Est, 2019 | 3 | 2019 |
| Visualization tools for spatio-temporal time-series analysis with context awareness: Montreal subway case F Toqué, E Côme, L Oukhellou, M Trépanier TransitData 2019, 5th International Workshop and Symposium, -, 2019 | 2 | 2019 |
| Prévision du nombre de passagers entrant dans un réseau de transport multimodal en cas d'évènements atypiques, à l'aide de méthodes d'apprentissage automatique F Toqué, E Côme, L Oukhellou, M Trépanier RFTM 2018, 1ères Rencontres Francophones Transport Mobilité, 3p, 2018 | 1 | 2018 |
| Forecasting and visualization of passenger demand in public transport network with machine learning methods F TOQUE | | 2019 |
| Prévision du nombre de passagers entrant dans un réseau de transport multimodal en cas F Toqué, E Côme, L Oukhellou, M Trépanier | | |
Etienne CômeGustave Eiffel UniversityVerified email at univ-eiffel.fr
