2022
Deep unsupervised feature selection by discarding nuisance and correlated features
Shaham U, Lindenbaum O, Svirsky J, Kluger Y. Deep unsupervised feature selection by discarding nuisance and correlated features. Neural Networks 2022, 152: 34-43. PMID: 35500458, PMCID: PMC9526895, DOI: 10.1016/j.neunet.2022.04.002.Peer-Reviewed Original ResearchMeSH KeywordsCluster AnalysisConceptsUnsupervised feature selectionCorrelated featuresNuisance featuresFeature selectionReal-world datasetsAutoencoder architectureComplete featuresClustering resultsGraph LaplacianArchitectural designModern datasetsOptimization processDatasetDifferentiable approachUnderlying structureLarge numberSimilar approachFeaturesArchitectureLarge subsetSelectionCode
2007
LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATA
Bathula DR, Papademetris X, Duncan JS. LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATA. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2007, 4: 416-419. PMID: 20216927, PMCID: PMC2834251, DOI: 10.1109/isbi.2007.356877.Peer-Reviewed Original ResearchContextual informationSpatio-temporal contextual informationLocal spatial contextBased ClusteringBetter segmentationReal fMRI experimentsSimilarity measureSynthetic imagesBrain imagesSimilar temporal behaviorTwo-dimensional curvesFunctional brain imagesSimulation resultsSpatial contextLevel setsMRI dataImagesTemporal behaviorSimilar approachInformationVoxelsSegmentationTime seriesFunctional MRI dataAdjacent voxels
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