César Leonardo Clemente López
César Leonardo Clemente López
PhD in Computer Science
Verified email at itesm.mx
Title
Cited by
Cited by
Year
Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches
FS Lu, MW Hattab, CL Clemente, M Biggerstaff, M Santillana
Nature communications 10 (1), 1-10, 2019
752019
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
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, JT Davis, A Vespignani, ...
arXiv preprint arXiv:2004.04019, 2020
662020
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ...
Science Advances 7 (10), eabd6989, 2021
43*2021
Real-time forecasting of the COVID-19 outbreak in Chinese provinces: machine learning approach using novel digital data and estimates from mechanistic models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of medical Internet research 22 (8), e20285, 2020
232020
Improved real-time influenza surveillance: using internet search data in eight Latin American countries
L Clemente, F Lu, M Santillana
JMIR public health and surveillance 5 (2), e12214, 2019
202019
Improved state-level influenza activity nowcasting in the United States leveraging Internet-based data sources and network approaches via ARGONet
FS Lu, MW Hattab, L Clemente, M Santillana
bioRxiv, 344580, 2018
22018
Correction: Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
D Liu, L Clemente, C Poirier, X Ding, M Chinazzi, J Davis, A Vespignani, ...
Journal of Medical Internet Research 22 (9), e23996, 2020
12020
Combining weather patterns and cycles of population susceptibility to forecast dengue fever epidemic years in Brazil: a dynamic, ensemble learning approach
SF McGough, CL Clemente, JN Kutz, M Santillana
bioRxiv, 666628, 2019
12019
A dynamic, ensemble learning approach to forecast dengue fever epidemic years in Brazil using weather and population susceptibility cycles
SF McGough, L Clemente, JN Kutz, M Santillana
Journal of the Royal Society Interface 18 (179), 20201006, 2021
2021
Predicting Dengue Incidence Leveraging Internet-Based Data Sources. A Case Study in 20 cities in Brazil
G Koplewitz, F Lu, L Clemente, C Buckee, M Santillana
medRxiv, 2020
2020
School of Engineering and Sciences
CLC Lopez
Google, 2019
2019
Predicting Influenza in Latin America: Using Voting Ensembles to Combine Google Search Activity and Geo-spatial Synchronicities from Historical Flu Activity
CL Clemente Lopez
Instituto Tecnológico y de Estudios Superiores de Monterrey, 2019
2019
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