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]. Detail

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]. Detail

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. Detail

Ribino, P., Paragliola, G., Napoli, C., Mannone, M., Chicco, D., Gasparini, F. (2024). Clustering of longitudinal Clinical Dementia Rating data to identify predictors of Alzheimer's disease progression. In 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare EUSPN/ICTH 2024 (pp.326-333) [10.1016/j.procs.2024.11.117]. Detail

Olearo, L., D'Adda, F., Messina, E., Cremaschi, M., Bandini, S., Gasparini, F. (2024). Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance. INTELLIGENZA ARTIFICIALE, 18(1), 51-65 [10.3233/ia-240027]. Detail