SAIBENE AURORA

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

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]. Dettaglio

Saibene, A., Corchs, S., Fontana, S., Sole-Casals, J. (2024). Preface to the Third Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI). In A. Saibene, S. Corchs, S. Fontana, J. Solé-Casals (a cura di), 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. 1-5). CEUR-WS. Dettaglio

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]. Dettaglio

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. Dettaglio