The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Classification of P300 Component Using a Riemannian Ensemble Approach
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ID-5 adopted an intra-subject and intra-session training strategy.
“An intra-subject and intra-session training strategy was adopted.”
From BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces (2020) · cites this paper as Krzemiński et al., 2020
Citations
Cites
The P300: Where in the Brain Is It Produced and What Does It Tell Us?
Linden, D. E. J. (2005) · The Neuroscientist · doi:10.1177/1073858405280524 · Cited by 833
Riemannian geometry applied to BCI classification
Barachant, A., Bonnet, S., Congedo, M., & Jutten, C. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15995-4_78 · Cited by 233
Amaral, C., Mouga, S., Simões, M., Pereira, H. C., Bernardino, I., Quental, H., Playle, R., McNamara, R., Oliveira, G., & Castelo-Branco, M. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00477 · Cited by 94
Flagged first, then by citations
Research works printed but not linked: 7
- Amaral, C.P., Simões, M.A., Mouga, S., Andrade, J., Castelo-Branco, M.: A novel brain computer interface for classification of social joint attention in autism and comparison of 3 experimental setups: a feasibility study. J. Neurosci. Methods 290, 105–115 (2017) · DOI
- Barachant, A., Congedo, M.: A Plug & Play P300 BCI Using Information Geometry. arXiv preprint: https://arxiv.org/pdf/1409.0107.pdf (2014) · arXiv
- Blankertz, B., Lemm, S., Treder, M., Haufe, S., Müller, K.R.: Single-trial analysis and classification of ERP components - a tutorial. NeuroImage 56(2), 814–825 (2011) · DOI · Paper page
- Congedo, M., Barachant, A., Bhatia, R.: Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review. Brain-Comput. Interfaces 4(3), 1–20 (2017) · DOI · Paper page
- Farwell, L., Donchin, E.: Talking off the top of your head. Electroencephalogr. Clin. Neurophysiol. 70(6), 510–523 (1988) · DOI · Paper page
- Korczowski, L., Congedo, M., Jutten, C.: Single-trial classification of multi-user P300-based Brain-Computer Interface using Riemannian geometry. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1769–1772. IEEE (2015) · DOI
- Treder, M.S., Purwins, H., Miklody, D., Sturm, I., Blankertz, B.: Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification. J. Neural Eng. 11(2), 026009 (2014) · DOI
Cited by
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Simões, M., Borra, D., Santamaría-Vázquez, E., GBT-UPM, Bittencourt-Villalpando, M., Krzemiński, D., Miladinović, A., Neural_Engineering_Group, Schmid, T., Zhao, H., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.568104 · Cited by 72
“• ID-5: DK, Sebastian Michelmann, Matthias Treder and Lorena Santamaria (Krzemiński et al., 2020).”
BackgroundSelf-citation
Metadata
- Authors
- Krzemiński, D., Michelmann, S., Treder, M., & Santamaria, L.
- Affiliations
- Cardiff University (GB)
- Princeton University (US)
- Corresponding author
- Santamaria, Lorena
- Venue
- IFMBE Proceedings
- Publisher
- Springer International Publishing
- Published
- 2019-09-25
- Pages
- 1885-1889
- ISSN
- 1433-9277 (ISSN-L)
- 1680-0737
- OpenAlex
- W2976838823
- Cited by
- 7
- References
- 3
- Citations by year
- 2026: 1 · 2025: 1 · 2022: 2 · 2021: 1 · 2020: 2
- FWCI
- 2.15
- Type
- conference paper
- Language
- en
- Open access
- green
- orca.cardiff.ac.uk
- Licence
- www.springer.com/tdm (tdm)
- Locations
- World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (1982622)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- P300, event-related potentials, EEG classification, Riemannian geometry, ensemble learning, covariance matrix, linear discriminant analysis, filter banks, brain-computer interface
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