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

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]. 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

Cazzaniga, S., Gasparini, F., Saibene, A. (2024). A multi-source deep learning model for music emotion recognition. In Proceedings of the 3rd Workshop on Artificial Intelligence for Human-Machine Interaction 2024 co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024) (pp.33-43). CEUR-WS. Detail

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. Detail