Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking
- DOI
- 10.1016/j.neunet.2025.108258
- Published
- 2026-03
- Container
- Neural Networks
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.108258,
title = {Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking},
author = {Haolun Ding and Zhengwen Fu and Rong Zhang and Li Huang and Xuan Luo and Qiang Gao},
year = {2026},
journal = {Neural Networks},
doi = {10.1016/j.neunet.2025.108258},
url = {https://doi.org/10.1016/j.neunet.2025.108258}
}RIS
TY - JOUR TI - Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking AU - Haolun Ding AU - Zhengwen Fu AU - Rong Zhang AU - Li Huang AU - Xuan Luo AU - Qiang Gao PY - 2026 JO - Neural Networks DO - 10.1016/j.neunet.2025.108258 UR - https://doi.org/10.1016/j.neunet.2025.108258 ER -
APA
Ding, H., Fu, Z., Zhang, R., Huang, L., Luo, X., & Gao, Q. (2026). Probabilistic Bayesian learning with long-tail awareness for trajectory-user linking. Neural Networks. https://doi.org/10.1016/j.neunet.2025.108258
Source records
- crossref · retrieved 2026-09-26T07:41:29.992Z