SAIBENE AURORA

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

Gabardi, M., Saibene, A., Gasparini, F., Rizzo, D., Stella, F. (2024). DL-based multi-artifact EEG denoising exploiting spectral information. INTELLIGENZA ARTIFICIALE, 18(1), 89-102 [10.3233/IA-240025]. 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

Saibene, A., Giussani, R., Rabaioli, C., Dozio, N., Gasparini, F., Ferrise, F. (2024). A Concept Design for a Positive Mood Supporting Application. In 2024 International Conference on Content-Based Multimedia Indexing (CBMI) (pp.289-295). IEEE [10.1109/CBMI62980.2024.10859226]. Detail

Grossi, A., Gasparini, F., Saibene, A. (2024). On the Exploitation of CEEMDAN for PPG Synthetic Data Generation. In Ambient Assisted Living ForItAAL 2023 Conference proceedings (pp.56-69). Springer [10.1007/978-3-031-63913-5_6]. Detail