GASPARINI FRANCESCA

Ribino, P., Mannone, M., Di Napoli, C., Paragliola, G., Chicco, D., Gasparini, F. (2025). Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering. BIODATA MINING, 18(1) [10.1186/s13040-025-00480-7]. Dettaglio

Fazio, S., Ribino, P., Gasparini, F., Marwan, N., Fazio, P., Gherardi, M., et al. (2025). K-operator for Modelling Neurodegeneration: Simulations, fMRI Application, Eigenvalue Analysis and Recurrence Plots. JOURNAL OF MEDICAL SYSTEMS, 49(1) [10.1007/s10916-025-02244-6]. 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

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

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