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Synthetic Data and Public Policy: supporting real-world policymakers with algorithmically generated data

Authors : Kevin Jenkins

Subjects: General Medicine

Source: Policy Quarterly. 19:29-39

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Toward more user-centric data access solutions: Producing synthetic data of high analytical value by data synthesis1

Authors : Kenza Sallier

Subjects: Economics and Econometrics; Data access; Database

Source: Statistical Journal of the IAOS. 36:1059-1066

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Synthetic Data in The Civil Service

Authors : Ioannis Kaloskampis; Louisa A. Nolan; Chaitanya Joshi

Subjects: Statistics and Probability; Transport engineering; Computer science

Source: Significance. 17:18-23

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Mathematical Model and Synthetic Data Generation for Infra-Red Sensors

Authors : Kaspars Ozols; Andrejs Cvetkovs; Rihards Novickis

Subjects: Optics and Photonics; Computer Simulation; Models, Theoretical

Source: Sensors; Volume 22; Issue 23; Pages: 9458Sensors

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A Semiparametric Multiple Imputation Approach to Fully Synthetic Data for Complex Surveys

Authors : Mandi Yu; Yulei He; Trivellore E Raghunathan

Subjects: Statistics and Probability; Applied Mathematics; Statistics, Probability and Uncertainty

Source: Journal of Survey Statistics and Methodology. 10:618-641

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Comparison of Machine Learning Approaches for Reconstructing Sea Subsurface Salinity Using Synthetic Data

Authors : Tian Tian; Hongze Leng; Gongjie Wang

Subjects: CNRM-CM6-1-HR model; synthetic data; ocean salinity

Source: Remote Sensing; Volume 14; Issue 22; Pages: 5650

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Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires

Authors : Jose-Emilio Meroño-de-Larriva; Fernando-Juan Pérez-Porras; Paula Triviño-Tarradas

Subjects: Prediction large wildfire; Decision support system; 010504 meteorology & atmospheric sciences

Source: Sensors (Basel, Switzerland)Sensors 21(11), 3694 (2021)Helvia: Repositorio Institucional de la Universidad de CórdobaUniversidad de CórdobaHelvia. Repositorio Institucional

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The Promise and Limitations of Synthetic Data as a Strategy to Expand Access to State-Level Multi-Agency Longitudinal Data

Authors : Angela K. Henneberger; Mark Lachowicz; Terry Shaw

Subjects: Information management; Program evaluation; Data collection

Source: Journal of Research on Educational Effectiveness. 12:616-647

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Revisiting particle sizing using greyscale optical array probes: evaluation using laboratory experiments and synthetic data

Authors : S. J. O'Shea; J. Crosier; J. Dorsey

Subjects: Atmospheric Science; 010504 meteorology & atmospheric sciences; Spectrometer

Source: Atmospheric Measurement Techniques, Vol 12, Pp 3067-3079 (2019)O'Shea, S, Crosier, J, Dorsey, J, Schledewitz, W, Crawford, I, Borrmann, S, Cotton, R & Bansemer, A 2019, ' Revisiting particle

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Enhancing MAX-DOAS atmospheric state retrievals by multispectral polarimetry – studies using synthetic data

Authors : Jan-Lukas Tirpitz; Udo Frieß; Robert Spurr

Subjects: Atmospheric Science; Physics::Atmospheric and Oceanic Physics

Source: Atmospheric Measurement Techniques. 15:2077-2098

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