GASPARINI FRANCESCA

Novacco, A., Gasparini, F., Rizzi, G., Saibene, A. (2026). Decoding Emotions: Multimodal Integration of Deep Embeddings, Lyrics and Music-Aware Cues. In Artificial Intelligence in Music, Sound, Art and Design - 15th International Conference, EvoMUSART 2026, Held as Part of EvoStar 2026, Toulouse, France, April 8–10, 2026, Proceedings (pp.367-382). Springer [10.1007/978-3-032-24350-8_24]. Detail

Chicco, D., Melzi, S., Gasparini, F., Jurman, G. (2026). The advantages of our proposed Saturn coefficient over continuity and trustworthiness for UMAP dimensionality reduction evaluation. PEERJ. COMPUTER SCIENCE, 12 [10.7717/peerj-cs.3424]. Detail

Rabaioli, C., Dozio, N., Giussani, R., Saibene, A., Romano, D., Ferrise, F., et al. (2025). The Way Mood Shapes Emotions: From Experiments to a Mood Assessment Application. In 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp.459-464). Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroXRAINE66377.2025.11340271]. 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

Fersini, E., Gasparini, F., Rizzi, G., Saibene, A. (2025). MAMITA: Benchmarking Misogyny in Italian Memes. In Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025) (pp.1-11). CEUR-WS. Detail