Luigi Bianchi

IRCCS Santa Lucia Foundation, Rome, Italy, Roma, Lazio, Italy 
"Luigi Bianchi"
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Bianchi L, Liti C, Piccialli V. (2019) A new early stopping method for P300 Spellers. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Quitadamo LR, Cavrini F, Sbernini L, et al. (2017) Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review Journal of Neural Engineering. 14: 11001
Cavrini F, Bianchi L, Quitadamo LR, et al. (2016) A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface. Computational Intelligence and Neuroscience. 2016: 9845980
Marrocco G, Amendola S, Bianchi L. (2015) Body Movements Classification by Passive Radiofrequency Identification and Machine Learning Technologies Ieee Antennas and Propagation Magazine
Toppi J, Risetti M, Quitadamo LR, et al. (2014) Investigating the effects of a sensorimotor rhythm-based BCI training on the cortical activity elicited by mental imagery. Journal of Neural Engineering. 11: 035010
Risetti M, Formisano R, Toppi J, et al. (2013) On ERPs detection in disorders of consciousness rehabilitation. Frontiers in Human Neuroscience. 7: 775
Quitadamo LR, Abbafati M, Cardarilli GC, et al. (2012) Evaluation of the performances of different P300 based brain-computer interfaces by means of the efficiency metric. Journal of Neuroscience Methods. 203: 361-8
Müller-Putz GR, Breitwieser C, Cincotti F, et al. (2011) Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI. Frontiers in Neuroinformatics. 5: 30
Vecchiato G, Astolfi L, Tabarrini A, et al. (2010) EEG analysis of the brain activity during the observation of commercial, political, or public service announcements. Computational Intelligence and Neuroscience. 985867
Astolfi L, Fallani Fde V, Cincotti F, et al. (2009) Brain activity during the memorization of visual scenes from TV commercials: an application of high resolution EEG and steady state somatosensory evoked potentials technologies. Journal of Physiology, Paris. 103: 333-41
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