Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking

Find Full text
Thumbnail
Fulltext:
250428.pdf
Embargo:
until further notice
Size:
801.2Kb
Format:
PDF
Description:
Publisher’s version
Publication year
2022
Author(s)
Cilia, N.C.
Gregorio, G. De
Stefano, C. De
Fontanella, F.
Marcelli, A.
Parziale, A.
Source
Engineering Applications of Artificial Intelligence: the International Journal of Intelligent Real-Time Automation, 111, (2022), pp. 1-12, article 104822
ISSN
DOI
Publication type
Article / Letter to editor
Please use this identifier to cite or link to this item: https://hdl.handle.net/2066/250428   https://hdl.handle.net/2066/250428
Display more details

Upload full text

Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.