Aspects of Deep Spatio-Temporal Analytics for Time Series, Streaming, and Trajectory Data

Hao Miao

Publikation: Ph.d.-afhandling

175 Downloads (Pure)

Originalsprog	Engelsk
Vejledere	Jensen, Christian S., Hovedvejleder Guo, Chenjuan, Bivejleder Zhao, Yan, Bivejleder
Udgiver	Aalborg University Open Publishing
ISBN'er, elektronisk	978-87-85239-35-8
DOI	https://doi.org/10.54337/aau757771238
Status	Udgivet - 2024

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A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.
Miao, H., Zhao, Y., Guo, C., Yang, B., Zheng, K., Huang, F., Xie, J. & Jensen, C. S., 2024, arXiv, 13 s.
Publikation: Working paper/Preprint › Preprint

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Task Assignment with Efficient Federated Preference Learning in Spatial Crowdsourcing
Miao, H., Zhong, X., Liu, J., Zhao, Y., Zhao, X., Qian, W., Zheng, K. & Jensen, C. S., apr. 2024, I: IEEE Transactions on Knowledge and Data Engineering. 36, 4, s. 1800-1814 15 s., 10239279.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
19 Citationer (Scopus)

@misc{a528d898ea97405a8d1e0138b867ceee,

title = "Aspects of Deep Spatio-Temporal Analytics for Time Series, Streaming, and Trajectory Data",

author = "Hao Miao",

year = "2024",

doi = "10.54337/aau757771238",

language = "English",

series = "Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet",

publisher = "Aalborg University Open Publishing",

}