On the discovery of events in EEG data utilizing information fusion

DOI10.1007/s00180-011-0292-yzbMath1305.65074OpenAlexW2169675158MaRDI QIDQ2255754

Friedhelm Schwenker, Michael Glodek, Martin Schels, Günther Palm, Stefan Scherer, Hans A. Kestler

Publication date: 18 February 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-011-0292-y

zbMATH Keywords

multiple classifier systemsEEG dataP300 event

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (1)

Proceedings of Reisensburg 2010

Uses Software

• KmL

Cites Work

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• Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
• KmL: k-means for longitudinal data
• Multi-objective selection for collecting cluster alternatives
• 10.1162/153244303322753616
• Random forests
• Decision templates for multiple classifier fusion: An experimental comparison

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