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Frontiers in Big Data|February 3, 2025
Toward a physics-guided machine learning approach for predicting chaotic systems dynamicsLiu Feng, Yang Liu, Benyun Shi, et al.Frontiers in Big Data|February 7, 2025
Balancing act: Europeans' privacy calculus and security concerns in online CSAM detectionRăzvan Rughiniş, Simona-Nicoleta Vulpe, Dinu Ţurcanu, et al.Frontiers in Big Data|December 4, 2024
ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphsZohreh Raghebi, Farnoush Banaei-KashaniFrontiers in Big Data|December 18, 2023
TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysisA K M Mubashwir Alam, Keke ChenFrontiers in Big Data|December 7, 2023
Real-time arrhythmia detection using convolutional neural networksThong Vu, Tyler Petty, Kemal Yakut, et al.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 LiPageof 74