GASPARINI FRANCESCA

Saibene, A., Caglioni, M., Corchs, S., Gasparini, F. (2023). EEG-Based BCIs on Motor Imagery Paradigm Using Wearable Technologies: A Systematic Review. SENSORS, 23(5), 1-42 [10.3390/s23052798]. Dettaglio

Caldiroli, C., Gasparini, F., Corchs, S., Mangiatordi, A., Garbo, R., Antonietti, A., et al. (2023). Comparing online cognitive load on mobile versus PC-based devices. PERSONAL AND UBIQUITOUS COMPUTING, 27(2), 495-505 [10.1007/s00779-022-01707-8]. Dettaglio

Bandini, S., Gasparini, F., Silva, F. (2023). Positive Artificial Intelligence Meets Affective Walkability. In Y. Ohsawa (a cura di), Living Beyond Data
Toward Sustainable Value Creation (pp. 161-178). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-11593-6_9]. Dettaglio

Gabardi, M., Saibene, A., Gasparini, F., Rizzo, D., Stella, F. (2023). A multi-artifact EEG denoising by frequency-based deep learning. In Proceedings of the 2nd Workshop on Artificial Intelligence for Human-Machine Interaction 2023
co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) (pp.28-41). CEUR-WS. Dettaglio

Bandini, S., Briola, D., Dennunzio, A., Gasparini, F., Giltri, M., Vizzari, G. (2023). Distance-based affective states in cellular automata pedestrian simulation. NATURAL COMPUTING [10.1007/s11047-023-09957-y]. Dettaglio