Single-trial stimuli classification from detected P300 for augmented Brain–Computer Interface: A deep learning approach
- DOI
- 10.1016/j.mlwa.2022.100393
- Published
- 2022-09
- Container
- Machine Learning with Applications
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mlwa.2022.100393,
title = {Single-trial stimuli classification from detected P300 for augmented Brain–Computer Interface: A deep learning approach},
author = {Jessica Leoni and Silvia Carla Strada and Mara Tanelli and Alessandra Brusa and Alice Mado Proverbio},
year = {2022},
journal = {Machine Learning with Applications},
doi = {10.1016/j.mlwa.2022.100393},
url = {https://doi.org/10.1016/j.mlwa.2022.100393}
}RIS
TY - JOUR TI - Single-trial stimuli classification from detected P300 for augmented Brain–Computer Interface: A deep learning approach AU - Jessica Leoni AU - Silvia Carla Strada AU - Mara Tanelli AU - Alessandra Brusa AU - Alice Mado Proverbio PY - 2022 JO - Machine Learning with Applications DO - 10.1016/j.mlwa.2022.100393 UR - https://doi.org/10.1016/j.mlwa.2022.100393 ER -
APA
Leoni, J., Strada, S. C., Tanelli, M., Brusa, A., & Proverbio, A. M. (2022). Single-trial stimuli classification from detected P300 for augmented Brain–Computer Interface: A deep learning approach. Machine Learning with Applications. https://doi.org/10.1016/j.mlwa.2022.100393
Source records
- crossref · retrieved 2026-09-25T07:07:17.348Z