Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking-Reference-Cited by-同舟云学术

Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking

Published:2023 Issue: Volume: Page:418-434
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Zhang Sen,Wang Senzhang,Wang Xiang,Zhang Shigeng,Miao Hao,Zhu Junxing

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26412-2_26

Reference34 articles.

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4. Freitas, N., Silva, T., Macêdo, J., Junior, L.M., Cordeiro, M.: Using deep learning for trajectory classification. In: Proceedings of ICAART (2021)

5. Gao, Q., Trajcevski, G., Zhou, F., Zhang, K., Zhong, T., Zhang, F.: Deeptrip: adversarially understanding human mobility for trip recommendation. In: Proceedings of ACM SIGSPATIAL (2019)

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