Xue, P., & Li, T. (2026). A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data. Journal of Economy and Technology, 4, 9-19. https://doi.org/10.1016/j.ject.2025.06.001
Chicago Style (17th ed.) CitationXue, Pei, and Tianshun Li. "A Supervised Variational Autoencoder Framework for Dimensionality Reduction and Predictive Modeling in High-dimensional Socioeconomic Data." Journal of Economy and Technology 4 (2026): 9-19. https://doi.org/10.1016/j.ject.2025.06.001.
MLA (9th ed.) CitationXue, Pei, and Tianshun Li. "A Supervised Variational Autoencoder Framework for Dimensionality Reduction and Predictive Modeling in High-dimensional Socioeconomic Data." Journal of Economy and Technology, vol. 4, 2026, pp. 9-19, https://doi.org/10.1016/j.ject.2025.06.001.