4. Synthetic Data for Regression and Classification

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References

Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. and Bengio, Y., (2020). Generative adversarial networksCommunications of the ACM63(11), pp.139-144

Nonnemaker, J., & Baird, H. S. (2009, January). Using synthetic data safely in classification. In Document recognition and retrieval XVI (Vol. 7247, pp. 134-144). SPIE.

Van Dyk, D. A., & Meng, X. L. (2001). The art of data augmentation. Journal of Computational and Graphical Statistics10(1), 1-50.

Wong, S. C., Gatt, A., Stamatescu, V., & McDonnell, M. D. (2016, November). Understanding data augmentation for classification: when to warp?. In 2016 international conference on digital image computing: techniques and applications (DICTA) (pp. 1-6). IEEE

Yue, Y., Li, Y., Yi, K., & Wu, Z. (2018, July). Synthetic data approach for classification and regression. In 2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP) (pp. 1-8). IEEE.