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Springer International Publishing
Reference41 articles.
1. Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139–144 (2020). https://doi.org/10.1145/3422622
2. Young, J., Graham, P., Penny, R.: Using Bayesian networks to create synthetic data. J. Off. Stat. 25(4), 549–567 (2009)
3. Patki, N., Wedge, R., Veeramachaneni, K.: GaussianCopula – The synthetic data vault SDV. In: Proceedings of the 3rd IEEE International Conference Data Science Advanced Analytics DSAA 2016, pp. 399–410 (2016)
4. Kinney, S.K., Reiter J.P., Reznek, A.P., Miranda, J., Jarmin R.S., Abowd, J.M.: Towards unrestricted public use business microdata: the synthetic longitudinal business database. Int. Stat. Rev. Int. Stat. Inst. 79(3), 362–384 (2011)
5. Camino, R., Hammerschmidt, C., State, R.: Generating Multi-Categorical Samples with Generative Adversarial Networks. http://arxiv.org/abs/1807.01202 (2018)
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