GASPARINI FRANCESCA

Saibene, A., Giussani, R., Rabaioli, C., Dozio, N., Gasparini, F., Ferrise, F. (2025). A Concept Design for a Positive Mood Supporting Application. In 2024 International Conference on Content-Based Multimedia Indexing (CBMI) (pp.1-7) [10.1109/CBMI62980.2024.10859226]. Dettaglio

Ribino, P., Di Napoli, C., Paragliola, G., Chicco, D., Gasparini, F. (2025). Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer’s disease progression study. BIODATA MINING, 18(1) [10.1186/s13040-025-00441-0]. Dettaglio

Ribino, P., Mannone, M., Di Napoli, C., Paragliola, G., Chicco, D., Gasparini, F. (2024). Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering. In HC@AIxIA 2024 Artificial Intelligence For Healthcare 2024 Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) (pp.247-256). CEUR-WS. Dettaglio

Gabardi, M., Saibene, A., Gasparini, F., Rizzo, D., Stella, F. (2024). DL-based multi-artifact EEG denoising exploiting spectral information. INTELLIGENZA ARTIFICIALE, 18(1), 89-102 [10.3233/IA-240025]. Dettaglio

Gasparini, F., Saibene, A., Salardi, S., Stocchi, F., Gulotta, C., Sosa Navarro, M. (2024). Presentazione poster “A multidisciplinary debate on the use of neurotechnologies for brain health and wellbeing”. Intervento presentato a: Conferenza Neuromi 2024 “Brain Health and prevention of cognitive decline. Today’s challenges for a brighter tomorrow”, 23-24 ottobre, Milano, Italia. Dettaglio