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Cited by 496

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

BCI Competition 2003—Data Set IIb: Support Vector Machines for the P300 Speller Paradigm

Open access
Kaper, M., Meinicke, P., Grossekathoefer, U., Lingner, T., Ritter, H.·2004·IEEE Transactions on Biomedical Engineering

Abstract

We propose an approach to analyze data from the P300 speller paradigm using the machine-learning technique support vector machines. In a conservative classification scheme, we found the correct solution after five repetitions. While the classification within the competition is designed for offline analysis, our approach is also well-suited for a real-world online solution: It is fast, requires only 10 electrode positions and demands only a small amount of preprocessing.

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Crossref · 10.1109/tbme.2004.826698

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Metadata

Authors
Kaper, M., Meinicke, P., Grossekathoefer, U., Lingner, T., & Ritter, H.
Venue
IEEE Transactions on Biomedical Engineering
Published
2004-06
Volume
51
Issue
6
Pages
1073-1076
ISSN
0018-9294 (ISSN-L)
OpenAlex
W2100470503
Cited by
496
References
2
FWCI
9.28
Type
journal article
Language
en
Open access
green

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