Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery. Liu, W., Ding, Y., Wang, S., Yang, Y., & Stankovic, J. A. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery [link]Paper  bibtex   
@article{2199,
  author = {Wei Liu and Yi Ding and Shuai Wang and Yu Yang and John A. Stankovic},
  title = {Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery},
  year = {2022},
  journal = {Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  url = {https://doi.org/10.1145/3534678.3539167}
}

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