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Mauricio Santillana
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2020 – today
- 2023
- [c1]Chenwei Wu, Xiyu Yang, Emil Ghitman Gilkes, Hanwen Cui, Jiheon Choi, Na Sun, Ziqian Liao, Bo Fan, Mauricio Santillana, Leo A. Celi, Paolo Silva, Luis Filipe Nakayama:
De-identification and Obfuscation of Gender Attributes from Retinal Scans. CLIP/FAIMI/EPIMI@MICCAI 2023: 91-101 - 2022
- [j11]Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana:
Machine learning approaches to predicting no-shows in pediatric medical appointment. npj Digit. Medicine 5 (2022) - [j10]Pablo M. De Salazar, Fred Lu, James A. Hay, Diana Gomez-Barroso, Pablo Fernández-Navarro, Elena V. Martínez, Jenaro Astray-Mochales, Rocío Amillategui, Ana García-Fulgueiras, Maria D. Chirlaque, Alonso Sánchez-Migallón, Amparo Larrauri, María J. Sierra, Marc Lipsitch, Fernando Simón, Mauricio Santillana, Miguel A. Hernán:
Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data. PLoS Comput. Biol. 18(3) (2022) - 2021
- [j9]Fred S. Lu, André T. Nguyen, Nicholas B. Link, Mathieu Molina, Jessica T. Davis, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Marc Lipsitch, Mauricio Santillana:
Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLoS Comput. Biol. 17(6) (2021) - [j8]Tigist F. Menkir, Horace Cox, Canelle Poirier, Melanie Saul, Sharon Jones-Weekes, Collette Clementson, Pablo M. De Salazar, Mauricio Santillana, Caroline O. Buckee:
A nowcasting framework for correcting for reporting delays in malaria surveillance. PLoS Comput. Biol. 17(11) (2021) - [j7]Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie:
High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. 12(4): 33:1-33:20 (2021) - 2020
- [j6]Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana:
Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput. Biol. 16(8) (2020) - [i3]Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis, Alessandro Vespignani, Mauricio Santillana:
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. CoRR abs/2004.04019 (2020)
2010 – 2019
- 2019
- [j5]Sam Tideman, Mauricio Santillana, Jonathan P. Bickel, Ben Reis:
Internet search query data improve forecasts of daily emergency department volume. J. Am. Medical Informatics Assoc. 26(12): 1574-1583 (2019) - [i2]Emily L. Aiken, André T. Nguyen, Mauricio Santillana:
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. CoRR abs/1911.02673 (2019) - 2017
- [j4]Shihao Yang, Samuel C. Kou, Fred Lu, John S. Brownstein, Nicholas Brooke, Mauricio Santillana:
Advances in using Internet searches to track dengue. PLoS Comput. Biol. 13(7) (2017) - 2016
- [j3]Mauricio Santillana, Lin Zhang, Robert Yantosca:
Estimating numerical errors due to operator splitting in global atmospheric chemistry models: Transport and chemistry. J. Comput. Phys. 305: 372-386 (2016) - 2015
- [j2]Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein:
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11(10) (2015) - [i1]Shihao Yang, Mauricio Santillana, Samuel C. Kou:
ARGO: a model for accurate estimation of influenza epidemics using Google search data. CoRR abs/1505.00864 (2015) - 2013
- [j1]Victor M. Calo, Nathan O. Collier, Matthias Gehre, Bangti Jin, Hany Radwan, Mauricio Santillana:
Gradient-based estimation of Manning's friction coefficient from noisy data. J. Comput. Appl. Math. 238: 1-13 (2013)
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