Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification

Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel. Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. In João Gama 0001, Tianrui Li 0001, Yang Yu 0001, Enhong Chen, Yu Zheng, Fei Teng 0001, editors, Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II. Volume 13281 of Lecture Notes in Computer Science, pages 236-248, Springer, 2022. [doi]

@inproceedings{PangPBBH22,
  title = {Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification},
  author = {Guansong Pang and Ngoc Thien Anh Pham and Emma Baker and Rebecca Bentley and Anton van den Hengel},
  year = {2022},
  doi = {10.1007/978-3-031-05936-0_19},
  url = {https://doi.org/10.1007/978-3-031-05936-0_19},
  researchr = {https://researchr.org/publication/PangPBBH22},
  cites = {0},
  citedby = {0},
  pages = {236-248},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II},
  editor = {João Gama 0001 and Tianrui Li 0001 and Yang Yu 0001 and Enhong Chen and Yu Zheng and Fei Teng 0001},
  volume = {13281},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-05936-0},
}