APA (7th ed.) Citation

Scarpiniti, M., Sarv Ahrabi, S., Baccarelli, E., Piazzo, L., & Momenzadeh, A. (2022). A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection. Expert systems with applications, 192, 116366. https://doi.org/10.1016/j.eswa.2021.116366

Chicago Style (17th ed.) Citation

Scarpiniti, Michele, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, and Alireza Momenzadeh. "A Novel Unsupervised Approach Based on the Hidden Features of Deep Denoising Autoencoders for COVID-19 Disease Detection." Expert Systems with Applications 192 (2022): 116366. https://doi.org/10.1016/j.eswa.2021.116366.

MLA (9th ed.) Citation

Scarpiniti, Michele, et al. "A Novel Unsupervised Approach Based on the Hidden Features of Deep Denoising Autoencoders for COVID-19 Disease Detection." Expert Systems with Applications, vol. 192, 2022, p. 116366, https://doi.org/10.1016/j.eswa.2021.116366.