SAIBENE AURORA

Role
Research fellow  
Academic disciplines
Informatica (INF/01)
Email
[email protected]

Publications

  • 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

  • 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

  • Saibene, A., Ghaemi, H., Dagdevir, E. (2024). Deep learning in motor imagery EEG signal decoding: A Systematic Review. NEUROCOMPUTING, 610(28 December 2024) [10.1016/j.neucom.2024.128577]. 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

  • 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

Full list