User re-identification via human mobility trajectories with siamese transformer networks-Reference-Cited by-同舟云学术

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User re-identification via human mobility trajectories with siamese transformer networks

Published:2023-12-20 Issue:1 Volume:54 Page:815-834
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Bin,Zhang Mingming,Ding Peng,Yang Tao,Jin Yaohui,Xu Yanyan

Funder

the National Science Foundation of China

the Shanghai Pujiang Program

the Shanghai Municipal Science and Technology Major Project

the National Social Science Foundation Major Project of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05234-8.pdf

Reference68 articles.

1. Korah PI, Cobbinah PB, Nunbogu AM, Gyogluu S (2017) Spatial plans and urban development trajectory in Kumasi, Ghana. GeoJournal 82(6):1113–1134

2. Xu Y, González MC (2017) Collective benefits in traffic during mega events via the use of information technologies. J R Soc Interface 14(129):20161041

3. Xu Y, Çolak S, Kara EC, Moura SJ, González MC (2018) Planning for electric vehicle needs by coupling charging profiles with urban mobility. Nature Energy 3:484–493

4. Martí P, Serrano-Estrada L, Nolasco-Cirugeda A (2019) Social media data: challenges, opportunities and limitations in urban studies. Comput Environ Urban Syst 74:161–174

5. Qian T, Liu B, Nguyen QVH, Yin H (2019) Spatiotemporal representation learning for translation-based poi recommendation. ACM Trans Inf Syst (TOIS) 37(2):1–24

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