SAIBENE AURORA

Saibene, A., Ghaemi, H., Dagdevir, E. (2023). Deep Learning in Motor Imagery Eeg Signal Decoding: A Systematic Review [Altro] [10.2139/ssrn.4592138]. Detail

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. Detail

Saibene, A., Gasparini, F. (2023). Genetic algorithm for feature selection of EEG heterogeneous data. EXPERT SYSTEMS WITH APPLICATIONS, 217(1 May 2023) [10.1016/j.eswa.2022.119488]. Detail

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]. Detail

Malaspina, M., Amianto Barbato, J., Cremaschi, M., Gasparini, F., Grossi, A., Saibene, A. (2023). An experimental protocol to access immersiveness in video games. 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.69-81). CEUR-WS. Detail