Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women

Marzieh Ajirak, Cassandra Heiselman, Anna Fuchs, Mia Heiligenstein, Kimberly Herrera, Diana Garretto, Petar M. Djuric. Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. In 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, August 23-27, 2021. pages 1980-1984, IEEE, 2021. [doi]

@inproceedings{AjirakHFHHGD21,
  title = {Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women},
  author = {Marzieh Ajirak and Cassandra Heiselman and Anna Fuchs and Mia Heiligenstein and Kimberly Herrera and Diana Garretto and Petar M. Djuric},
  year = {2021},
  doi = {10.23919/EUSIPCO54536.2021.9616021},
  url = {https://doi.org/10.23919/EUSIPCO54536.2021.9616021},
  researchr = {https://researchr.org/publication/AjirakHFHHGD21},
  cites = {0},
  citedby = {0},
  pages = {1980-1984},
  booktitle = {29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, August 23-27, 2021},
  publisher = {IEEE},
  isbn = {978-9-0827-9706-0},
}