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Frontiers in Big Data|November 29, 2023
No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspectiveStefano CalzatiFrontiers in Big Data|April 2, 2024
The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approachJorge Méndez-AstudilloFrontiers in Big Data|March 18, 2024
Predicting risk of preterm birth in singleton pregnancies using machine learning algorithmsQiu-Yan Yu, Ying Lin, Yu-Run Zhou, et al.Frontiers in Big Data|March 15, 2024
Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes ProjectDmitry Kolobkov, Satyarth Mishra Sharma, Aleksandr Medvedev, et al.Frontiers in Big Data|September 19, 2024
Deepfake: definitions, performance metrics and standards, datasets, and a meta-reviewEnes Altuncu, Virginia N L Franqueira, Shujun LiFrontiers in Big Data|November 13, 2023
A stream processing abstraction frameworkIlaria Bartolini, Marco PatellaFrontiers in Big Data|November 6, 2023
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industryLuca Clissa, Mario Lassnig, Lorenzo RinaldiFrontiers in Big Data|July 20, 2023
Wikipedia page views for health research: a reviewRowalt AlibudbudFrontiers in Big Data|July 10, 2023
MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcareJohn Robert Bautista, Daniel Toshio Harrell, Ladd Hanson, et al.Frontiers in Big Data|July 3, 2023
PME: pruning-based multi-size embedding for recommender systemsZirui Liu, Qingquan Song, Li Li, et al.Pageof 72