Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge

Miguel Angel Lozano, Òscar Garibo i Orts, Eloy Piñol, Miguel Rebollo, Kristina Polotskaya, Miguel Ángel García-March, J. Alberto Conejero, Francisco Escolano, Nuria Oliver

ECML-PKDD 2021 pp. 384-399

doi:10.1007/978-3-030-86514-6_24 /ecmlpkdd/2021/lozano2021ecmlpkdd-open/

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Cite

Text

Lozano et al. "Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021. doi:10.1007/978-3-030-86514-6_24

Markdown

[Lozano et al. "Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.](https://mlanthology.org/ecmlpkdd/2021/lozano2021ecmlpkdd-open/) doi:10.1007/978-3-030-86514-6_24

BibTeX

@inproceedings{lozano2021ecmlpkdd-open,
  title     = {{Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge}},
  author    = {Lozano, Miguel Angel and Orts, Òscar Garibo i and Piñol, Eloy and Rebollo, Miguel and Polotskaya, Kristina and García-March, Miguel Ángel and Conejero, J. Alberto and Escolano, Francisco and Oliver, Nuria},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2021},
  pages     = {384-399},
  doi       = {10.1007/978-3-030-86514-6_24},
  url       = {https://mlanthology.org/ecmlpkdd/2021/lozano2021ecmlpkdd-open/}
}