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Short & long term forecasting of multimodal transport passenger flows with machine learning methods.

, , , , and . ITSC, page 560-566. IEEE, (2017)

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Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris., and . ACM Trans. Intell. Syst. Technol., 5 (3): 39:1-39:21 (2014)Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis., , , and . ICMLA, page 415-420. IEEE Computer Society, (2008)Partially-supervised learning in Independent Factor Analysis., , , and . ESANN, (2009)A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership., , , and . ICDM (Workshops), page 1259-1268. IEEE, (2023)Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device., , , , and . NL-MUA, volume 100 of Advances in Intelligent and Soft Computing, page 213-220. Springer, (2011)Processing, mining and visualizing massive urban data., , and . ESANN, (2017)Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration., and . ESANN, (2017)Self Organizing Star (SOS) for health monitoring., , , and . ESANN, (2010)Clustering the Vélib' origin-destinations flows by means of Poisson mixture models., , , and . ESANN, (2013)Pattern recognition approach for the prediction of infrequent target events in floating train data sequences within a predictive maintenance framework., , , , and . ITSC, page 918-923. IEEE, (2014)