Bendebane, L.; Laboudi, Z.; Saighi, A.; Al-Tarawneh, H.; Ouannas, A.; Grassi, G.
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data. Algorithms 2023, 16, 543.
https://doi.org/10.3390/a16120543
AMA Style
Bendebane L, Laboudi Z, Saighi A, Al-Tarawneh H, Ouannas A, Grassi G.
A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data. Algorithms. 2023; 16(12):543.
https://doi.org/10.3390/a16120543
Chicago/Turabian Style
Bendebane, Lamia, Zakaria Laboudi, Asma Saighi, Hassan Al-Tarawneh, Adel Ouannas, and Giuseppe Grassi.
2023. "A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data" Algorithms 16, no. 12: 543.
https://doi.org/10.3390/a16120543
APA Style
Bendebane, L., Laboudi, Z., Saighi, A., Al-Tarawneh, H., Ouannas, A., & Grassi, G.
(2023). A Multi-Class Deep Learning Approach for Early Detection of Depressive and Anxiety Disorders Using Twitter Data. Algorithms, 16(12), 543.
https://doi.org/10.3390/a16120543