Ooi, S. K., Tanny, D., Chen, J., & Wang, K. (2021). Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance. Chemometrics and intelligent laboratory systems, 217, 104385. https://doi.org/10.1016/j.chemolab.2021.104385
Citace podle Chicago (17th ed.)Ooi, Sai Kit, Dave Tanny, Junghui Chen, a Kai Wang. "Developing Semi-supervised Variational Autoencoder-generative Adversarial Network Models to Enhance Quality Prediction Performance." Chemometrics and Intelligent Laboratory Systems 217 (2021): 104385. https://doi.org/10.1016/j.chemolab.2021.104385.
Citace podle MLA (9th ed.)Ooi, Sai Kit, et al. "Developing Semi-supervised Variational Autoencoder-generative Adversarial Network Models to Enhance Quality Prediction Performance." Chemometrics and Intelligent Laboratory Systems, vol. 217, 2021, p. 104385, https://doi.org/10.1016/j.chemolab.2021.104385.