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Fred Lu
Fred Lu
在 bah.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1632021
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
118*2018
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
1152019
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
1082017
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
572021
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
372019
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
302019
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
292022
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
292021
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
272021
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
242021
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
182022
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
92022
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
82022
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
52022
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, ...
5
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, ...
medRxiv, 2023
42023
A Coreset Learning Reality Check
F Lu, E Raff, J Holt
Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
42023
Exploring the sharpened cosine similarity
S Wu, F Lu, E Raff, J Holt
arXiv preprint arXiv:2307.13855, 2023
32023
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