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Frontiers in Big Data|July 16, 2021
Holdout-Based Empirical Assessment of Mixed-Type Synthetic DataMichael Platzer, Thomas ReuttererFrontiers in Big Data|July 12, 2021
Porting HEP Parameterized Calorimeter Simulation Code to GPUsZhihua Dong, Heather Gray, Charles Leggett, et al.Frontiers in Big Data|June 21, 2021
A World Full of Stereotypes? Further Investigation on Origin and Gender Bias in Multi-Lingual Word EmbeddingsMascha Kurpicz-Briki, Tomaso LeoniFrontiers in Big Data|June 21, 2021
Development of An Individualized Risk Prediction Model for COVID-19 Using Electronic Health Record DataTarun Karthik Kumar Mamidi, Thi K Tran-Nguyen, Ryan L Melvin, et al.Frontiers in Big Data|December 19, 2022
Natural and Artificial Dynamics in Graphs: Concept, Progress, and FutureDongqi Fu, Jingrui HeFrontiers in Big Data|December 29, 2022
A data-driven spatial approach to characterize the flood hazardRubayet Bin Mostafiz, Md Adilur Rahim, Carol J Friedland, et al.Frontiers in Big Data|December 22, 2022
Exploring the use of topological data analysis to automatically detect data quality faultsM Eduard TudoreanuFrontiers in Big Data|June 1, 2022
FAIR Digital Twins for Data-Intensive ResearchErik Schultes, Marco Roos, Luiz Olavo Bonino da Silva Santos, et al.Frontiers in Big Data|June 7, 2022
Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System PatientsSharanya Arcot Desai, Thomas Tcheng, Martha MorrellFrontiers in Big Data|July 5, 2022
Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural NetworksMo Jia, Karan Kumar, Liam S Mackey, et al.Pageof 72