Ferri, R., Babiloni, C., Karami, V., Triggiani, A. I., Carducci, F., Noce, G., . . . Arena, P. (2021). Stacked autoencoders as new models for an accurate Alzheimer’s disease classification support using resting-state EEG and MRI measurements. Clinical neurophysiology, 132(1), 232-245. https://doi.org/10.1016/j.clinph.2020.09.015
Chicago Style (17th ed.) CitationFerri, Raffaele, et al. "Stacked Autoencoders as New Models for an Accurate Alzheimer’s Disease Classification Support Using Resting-state EEG and MRI Measurements." Clinical Neurophysiology 132, no. 1 (2021): 232-245. https://doi.org/10.1016/j.clinph.2020.09.015.
MLA (9th ed.) CitationFerri, Raffaele, et al. "Stacked Autoencoders as New Models for an Accurate Alzheimer’s Disease Classification Support Using Resting-state EEG and MRI Measurements." Clinical Neurophysiology, vol. 132, no. 1, 2021, pp. 232-245, https://doi.org/10.1016/j.clinph.2020.09.015.