Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models.

Nakamura GM, Souza ACC, Souza FCM, Bulcao-Neto RF, Martinez AS, Macedo AA

Open source

DOI
10.1109/tcbb.2020.3018901
Published
2022 Mar-Apr
Container
IEEE/ACM transactions on computational biology and bioinformatics
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1109/tcbb.2020.3018901,
  title = {Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models.},
  author = {Nakamura GM and Souza ACC and Souza FCM and Bulcao-Neto RF and Martinez AS and Macedo AA},
  year = {2022},
  journal = {IEEE/ACM transactions on computational biology and bioinformatics},
  doi = {10.1109/tcbb.2020.3018901},
  url = {https://doi.org/10.1109/tcbb.2020.3018901}
}

RIS

TY  - JOUR
TI  - Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models.
AU  - Nakamura GM
AU  - Souza ACC
AU  - Souza FCM
AU  - Bulcao-Neto RF
AU  - Martinez AS
AU  - Macedo AA
PY  - 2022
JO  - IEEE/ACM transactions on computational biology and bioinformatics
DO  - 10.1109/tcbb.2020.3018901
UR  - https://doi.org/10.1109/tcbb.2020.3018901
ER  -

APA

GM, N., ACC, S., FCM, S., RF, B., AS, M., & AA, M. (2022). Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models.. IEEE/ACM transactions on computational biology and bioinformatics. https://doi.org/10.1109/tcbb.2020.3018901

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