Name
Title | ||
|---|---|---|
Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI |
Abstract | ||
|---|---|---|
This paper proposes an evolutionary wrapper feature selection using Extreme Learning Machines (ELM) as the base classifier training algorithm, comprising a Genetic Algorithm (GA) exploring the space of feature combinations. GA fitness function is the mean accuracy of a cross-validation evaluation of each individual feature selection. The marginal distribution of the classification accuracy corresponding to a feature is used to measure feature saliency. The raw features are extracted as a voxel selection from anatomical brain magnetic resonance imaging (MRI). Voxel selection is provided by Voxel Based Morphometry (VBM) which finds statistically significant clusters of voxels that have differences across MRI volumes on a paired dataset of Alzheimer's Disease (AD) and healthy controls. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.neucom.2013.01.065 | Neurocomputing |
Keywords | Field | DocType |
evolutionary elm wrapper feature,evolutionary wrapper feature selection,classification accuracy,voxel selection,individual feature selection,raw feature,mri volume,feature combination,feature saliency,anatomical brain,disease cad,mean accuracy,ga fitness function,neuroimaging | Voxel,Pattern recognition,Feature selection,Extreme learning machine,Fitness function,Voxel-based morphometry,Artificial intelligence,Neuroimaging,Classifier (linguistics),Machine learning,Mathematics,Genetic algorithm | Journal |
Volume | ISSN | Citations |
128, | 0925-2312 | 27 |
PageRank | References | Authors |
0.89 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Darya Chyzhyk | 1 | 137 | 10.82 |
| Alexandre Savio | 2 | 218 | 15.87 |
| Manuel Graña | 3 | 1367 | 156.11 |