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Stability-based multivariate mapping using SCoRS

Rondina, JM; Shawe-Taylor, J; Mourao-Miranda, J; (2013) Stability-based multivariate mapping using SCoRS. In: Davatzikos, C, (ed.) 3rd International Workshop on Pattern Recognition in Neuroimaging (PRNI 2013): Proceedings. (pp. pp. 198-202). IEEE Green open access

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Abstract

Recently we proposed a feature selection method based on stability theory (SCoRS - Survival Count on Random Subspaces) and showed that the proposed approach was able to improve classification accuracy using different datasets. In the present work we propose: (i) an extension of SCoRS using reproducibility instead of model accuracy as the parameter optimization criterion and (ii) a procedure to estimate the rate of false positive selection associated with the set of features obtained. Our results using the proposed framework showed that, as expected, the optimal parameter was more stable across the cross-validation folds, the spatial map displaying the features selected was less noisy and there was no decrease in classification accuracy. In addition, our results suggest that the estimated false positive rate for the features selected by SCoRS is under 0.05 for both optimization approaches, nevertheless lower when optimizing reproducibility in comparison with the standard optimization approach.

Type: Proceedings paper
Title: Stability-based multivariate mapping using SCoRS
Event: PRNI 2013, 3rd International Workshop on Pattern Recognition in NeuroImaging, 22-24 June 2013, Philadelphia, USA
Location: Philadelphia, PA
Dates: 22 June 2013 - 24 June 2013
ISBN-13: 9780769550619
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/PRNI.2013.58
Publisher version: https://doi.org/10.1109/PRNI.2013.58
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Optimization, brain mapping, interpretability, feature selection, stability, reproducibility
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10046124
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