Trajectory-User Linking using Higher-order Mobility Flow Representations-Reference-Cited by-同舟云学术

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Trajectory-User Linking using Higher-order Mobility Flow Representations

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 24th IEEE International Conference on Mobile Data Management (MDM)
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Author:

Alsaeed Mahmoud¹,Agrawal Ameeta²,Papagelis Manos¹

Affiliation:

1. York University,Toronto,Canada

2. Portland State University,Portland,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10214688/10214888/10214932.pdf?arnumber=10214932

Reference44 articles.

1. Class-Balanced Loss Based on Effective Number of Samples

2. Multi-Aspect Embedding for Attribute-Aware Trajectories

3. Should you mask 15% in masked language modeling?;wettig,2022

4. Learning deep representation for trajectory clustering

5. Evaluating and forecasting the operational performance of road intersections

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PathletRL: Trajectory Pathlet Dictionary Construction using Reinforcement Learning;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

2. Point2Hex: Higher-order Mobility Flow Data and Resources;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

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