In this article, we analyze the use of different synthetic data generation models for long location sequences, including extended short-term memory networks ( ...
Synthetic data have been used to generate representative location sequences yet to maintain the users' privacy. Nonetheless, the privacy-accuracy tradeoff ...
Synthetic data has been used to generate representative location sequences yet to maintain the users' privacy. Nonetheless, the privacy-accuracy tradeoff ...
Synthetic data have been used to generate representative location sequences yet to maintain the users' privacy. Nonetheless, the privacy-accuracy tradeoff ...
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Mar 23, 2023 · This paper assesses the feasibility of generating synthetic administrative health data using a recurrent deep learning model.
Jul 12, 2024 · This systematic review provides a structured comparative overview of the current state of this heterogeneous, active field of research.
Jul 1, 2024 · Ben-gal, ''Synthesis of longitudinal human location sequences: Balancing utility and privacy,'' ACM Trans. Knowl. Discovery Data, vol. 16 ...
Generating synthetic mixed-type longitudinal electronic health ...
www.ncbi.nlm.nih.gov › PMC10224668
May 27, 2023 · In this study, we propose a generative adversarial network (GAN) entitled EHR-M-GAN that simultaneously synthesizes mixed-type timeseries EHR data.
Nov 28, 2023 · Our findings on the privacy of synthetic data show that there is an alarming tendency to trust the safety of synthetic data without properly evaluating it.