Popularity Increment Forecast Based on Depth Fully Extracting Spatiotemporal Structure

Yinbing Zhao. Popularity Increment Forecast Based on Depth Fully Extracting Spatiotemporal Structure. In 5th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2022, Dalian, China, September 23-25, 2022. pages 88-92, IEEE, 2022. [doi]

@inproceedings{Zhao22-47,
  title = {Popularity Increment Forecast Based on Depth Fully Extracting Spatiotemporal Structure},
  author = {Yinbing Zhao},
  year = {2022},
  doi = {10.1109/ICISCAE55891.2022.9927656},
  url = {https://doi.org/10.1109/ICISCAE55891.2022.9927656},
  researchr = {https://researchr.org/publication/Zhao22-47},
  cites = {0},
  citedby = {0},
  pages = {88-92},
  booktitle = {5th IEEE International Conference on Information Systems and Computer Aided Education, ICISCAE 2022, Dalian, China, September 23-25, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8122-9},
}