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Maimuna S. Majumder
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2020 – today
- 2024
- [i4]Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon, Sagar Kumar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato, Maimuna S. Majumder:
What we should learn from pandemic publishing. CoRR abs/2410.01838 (2024) - 2023
- [i3]Fabrício Olivetti de França, Marco Virgolin, Michael Kommenda, Maimuna S. Majumder, Miles D. Cranmer
, Guilherme Espada, Leon Ingelse, Alcides Fonseca
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition. CoRR abs/2304.01117 (2023) - 2021
- [j3]Vasileios Lampos
Tracking COVID-19 using online search. npj Digit. Medicine 4 (2021) - 2020
- [j2]Anhvinh Doanvo
Machine Learning Maps Research Needs in COVID-19 Literature. Patterns 1(9): 100123 (2020) - [j1]Emily L. Aiken, Sarah F. McGough
Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput. Biol. 16(8) (2020) - [i2]Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. CoRR abs/2003.08086 (2020)
2010 – 2019
- 2017
- [c1]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources. KDD 2017: 1477-1485 - [i1]Saurav Ghosh, Prithwish Chakraborty, Bryan L. Lewis, Maimuna S. Majumder, Emily Cohn, John S. Brownstein, Madhav V. Marathe, Naren Ramakrishnan:
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources. CoRR abs/1702.06663 (2017)
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last updated on 2024-12-01 00:13 CET by the dblp team
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