GASPARINI FRANCESCA

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

Rabaioli, C., Grossi, A., Gasparini, F. (2025). Short Video Interestingness: A Machine Learning Approach to Determine Creative Cues in Audiovisual Production. In Artificial Intelligence in Music, Sound, Art and Design
14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings (pp.373-386). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-90167-6_25]. Dettaglio

Grossi, A., Milella, A., Mattia, R., Gasparini, F. (2024). Are we all good actors? A study on the feasibility of generalizing speech emotion recognition models. In Proceedings of the Third Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AI* IA 2024) (pp.83-92). CEUR-WS. Dettaglio

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]. 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