SAIBENE AURORA

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]. 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., 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]. Dettaglio

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

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