APA (7th ed.) Citation

Maggipinto, M., Terzi, M., & Susto, G. A. (2022). IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Engineering applications of artificial intelligence, 109, 104658. https://doi.org/10.1016/j.engappai.2021.104658

Chicago Style (17th ed.) Citation

Maggipinto, Marco, Matteo Terzi, and Gian Antonio Susto. "IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces." Engineering Applications of Artificial Intelligence 109 (2022): 104658. https://doi.org/10.1016/j.engappai.2021.104658.

MLA (9th ed.) Citation

Maggipinto, Marco, et al. "IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces." Engineering Applications of Artificial Intelligence, vol. 109, 2022, p. 104658, https://doi.org/10.1016/j.engappai.2021.104658.