From post

Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris.

, и . ACM Trans. Intell. Syst. Technol., 5 (3): 39:1-39:21 (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Image Inpainting and Deep Learning to Forecast Short-Term Train Loads., , , , и . IEEE Access, (2021)Spatiotemporal Analysis of Bluetooth Data: Application to a Large Urban Network., , , , , и . IEEE Trans. Intell. Transp. Syst., 16 (3): 1439-1448 (2015)Clustering Smart Card Data for Urban Mobility Analysis., , , и . IEEE Trans. Intell. Transp. Syst., 18 (3): 712-728 (2017)Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib' System of Paris., и . ACM Trans. Intell. Syst. Technol., 5 (3): 39:1-39:21 (2014)Using Imprecise and Uncertain Information to Enhance the Diagnosis of a Railway Device., , , , и . NL-MUA, том 100 из Advances in Intelligent and Soft Computing, стр. 213-220. Springer, (2011)Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis., , , и . ICMLA, стр. 415-420. IEEE Computer Society, (2008)Partially-supervised learning in Independent Factor Analysis., , , и . ESANN, (2009)A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership., , , и . ICDM (Workshops), стр. 1259-1268. IEEE, (2023)Learning from partially supervised data using mixture models and belief functions., , , и . Pattern Recognit., 42 (3): 334-348 (2009)Processing, mining and visualizing massive urban data., , и . ESANN, (2017)