Output details
11 - Computer Science and Informatics
Bangor University
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Article title
Random Subspace Ensembles for fMRI Classification
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
29
Issue number
2
First page of article
531
ISSN of journal
1558-254X
Year of publication
2010
URL
-
Number of additional authors
4
Additional information
<24>Random Subspace classifier ensemble (RS) is one of the simplest and most successful ensemble methods which had not been fully examined for fMRI data classification. This paper gives theoretical justification and a practical advice about using RS for fMRI data, which is also applicable to similar type of data where the number of features is larger than the sample size by orders of magnitude. IEEE Xplore Usage figure (Jan 2011-July 2013) is 505.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
43
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
