Decoder Transformer for Temporally-Embedded Health Outcome Predictions

Omar Boursalie, Reza Samavi, Thomas E. Doyle. Decoder Transformer for Temporally-Embedded Health Outcome Predictions. In M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, editors, 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. pages 1461-1467, IEEE, 2021. [doi]

@inproceedings{BoursalieSD21,
  title = {Decoder Transformer for Temporally-Embedded Health Outcome Predictions},
  author = {Omar Boursalie and Reza Samavi and Thomas E. Doyle},
  year = {2021},
  doi = {10.1109/ICMLA52953.2021.00235},
  url = {https://doi.org/10.1109/ICMLA52953.2021.00235},
  researchr = {https://researchr.org/publication/BoursalieSD21},
  cites = {0},
  citedby = {0},
  pages = {1461-1467},
  booktitle = {20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021},
  editor = {M. Arif Wani and Ishwar K. Sethi and Weisong Shi and Guangzhi Qu and Daniela Stan Raicu and Ruoming Jin},
  publisher = {IEEE},
  isbn = {978-1-6654-4337-1},
}