| 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 | 181 | 2021 |
| 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), 147, 2019 | 126 | 2019 |
| Accurate influenza monitoring and forecasting using novel internet data streams: a case study in the Boston Metropolis FS Lu, S Hou, K Baltrusaitis, M Shah, J Leskovec, J Hawkins, ... JMIR public health and surveillance 4 (1), e8950, 2018 | 116* | 2018 |
| Advances in using Internet searches to track dengue S Yang, SC Kou, F Lu, JS Brownstein, N Brooke, M Santillana PLoS computational biology 13 (7), e1005607, 2017 | 107 | 2017 |
| Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands J Irvin, S Zhou, G McNicol, F Lu, V Liu, E Fluet-Chouinard, Z Ouyang, ... Agricultural and Forest Meteorology 308, 108528, 2021 | 81 | 2021 |
| Estimating the cumulative incidence of COVID-19 in the United States using four complementary approaches FS Lu, AT Nguyen, NB Link, JT Davis, M Chinazzi, X Xiong, A Vespignani, ... MedRxiv, 2020 | 57 | 2020 |
| 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 | 39 | 2019 |
| A General Framework for Auditing Differentially Private Machine Learning F Lu, J Munoz, M Fuchs, T LeBlond, E Zaresky-Williams, E Raff, F Ferraro, ... 2022 Conference on Neural Information Processing Systems (NeurIPS), 2022 | 38 | 2022 |
| Identification of putative causal loci in whole-genome sequencing data via knockoff statistics Z He, L Liu, C Wang, Y Le Guen, J Lee, S Gogarten, F Lu, S Montgomery, ... Nature communications 12 (1), 3152, 2021 | 36 | 2021 |
| Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches FS Lu, AT Nguyen, NB Link, M Molina, JT Davis, M Chinazzi, X Xiong, ... PLOS Computational Biology 17 (6), e1008994, 2021 | 34 | 2021 |
| Sub-national levels and trends in contraceptive prevalence, unmet need, and demand for family planning in Nigeria with survey uncertainty LD Mercer, F Lu, JL Proctor BMC Public Health 19 (1), 1752, 2019 | 33 | 2019 |
| Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AT Nguyen, F Lu, GL Munoz, E Raff, C Nicholas, J Holt AAAI 22, 2022 | 32 | 2022 |
| Evaluating the disentanglement of deep generative models through manifold topology S Zhou, E Zelikman, F Lu, AY Ng, G Carlsson, S Ermon ICLR 2021, 2021 | 31 | 2021 |
| Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations SM Mathis, AE Webber, TM León, EL Murray, M Sun, LA White, LC Brooks, ... Nature communications 15 (1), 6289, 2024 | 23 | 2024 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants PH Kassani, F Lu, Y Le Guen, ME Belloy, Z He Nature machine intelligence 4 (9), 761-771, 2022 | 12 | 2022 |
| Near real-time surveillance of the SARS-CoV-2 epidemic with incomplete data PM De Salazar, F Lu, JA Hay, D Gomez-Barroso, P Fernández-Navarro, ... PLoS computational biology 18 (3), e1009964, 2022 | 11 | 2022 |
| 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 PLoS Neglected Tropical Diseases 16 (1), e0010071, 2022 | 11 | 2022 |
| An early warning approach to monitor COVID-19 activity with multiple digital traces in near real-time. Sci Adv. 2021 NE Kogan, L Clemente, P Liautaud, J Kaashoek, NB Link, AT Nguyen, ... | 9 | |
| Scaling up differentially private lasso regularized logistic regression via faster frank-wolfe iterations E Raff, A Khanna, F Lu Advances in Neural Information Processing Systems 36, 36349-36363, 2023 | 6 | 2023 |
| Differentially private logistic regression with sparse solutions A Khanna, F Lu, E Raff, B Testa Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 6 | 2023 |
Mauricio SantillanaProfessor of Physics and Electr. and Comp. Eng., Northeastern University, and Harvard T. H. Chan SPHایمیل تأیید شده در northeastern.edu