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 subsetSelectionCodeAn Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis
Dashtian H, Murthy D, Kong G. An Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis. Journal Of Medical Internet Research 2022, 24: e30679. PMID: 35084353, PMCID: PMC8832267, DOI: 10.2196/30679.Peer-Reviewed Original ResearchConceptsRule-based classificationInformation networksRule-based classification approachE-cigarette-related contentBetweenness centralityDistinct videosLeast connectionsSearch resultsClassification approachUser perceptionVideoSearch itemsNetwork modelingNetworkYouTubeSocial mediaSimilar wordsUnderlying structureNodesSimilar meaningNovel methodClassificationNetwork analysisGatewayLevel of importance
2020
Cognitive profiles in persons with opioid use disorder enrolled in methadone treatment
Sanborn V, Gunstad J, Shrestha R, Mistler CB, Copenhaver MM. Cognitive profiles in persons with opioid use disorder enrolled in methadone treatment. Applied Neuropsychology Adult 2020, 29: 462-468. PMID: 32463730, PMCID: PMC7704535, DOI: 10.1080/23279095.2020.1769099.Peer-Reviewed Original ResearchConceptsCognitive profileUse disordersTests of attentionDistinct cognitive profilesCognitive impairmentIntact cognitive functionOpioid use disorderExecutive functionCognitive phenotypesNIH ToolboxSubstance use treatmentCognitive functionImpaired groupAlcohol fourTreatment programPoor treatment outcomesUse treatmentMethadone maintenance treatment programImpairmentMaintenance treatment programDisordersUnderlying structurePersonsTreatment outcomesMore time
2014
Learning bundles of stimuli renders stimulus order as a cue, not a confound
Qian T, Aslin RN. Learning bundles of stimuli renders stimulus order as a cue, not a confound. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 14400-14405. PMID: 25246587, PMCID: PMC4210001, DOI: 10.1073/pnas.1416109111.Peer-Reviewed Original ResearchConceptsStimulus orderCognitive phenomenaTask domainTask environmentConsecutive stimuliInfluence behaviorImportant cueCuesCognitionPrevious accountsNormative theoryStimuliBasketball gamesLatent clustersExplanatory powerUnderlying structureConfoundsPerceptionBundle representationsBehaviorPeopleGameRepresentationPerspectiveTheory
2013
Application of Bayesian Sparse Factor Analysis Models in Bioinformatics
Ma H, Zhao H. Application of Bayesian Sparse Factor Analysis Models in Bioinformatics. 2013, 350-365. DOI: 10.1017/cbo9781139226448.018.Peer-Reviewed Original ResearchFactor analysis modelClassical factor analysis modelLatent variable modelStatistical methodsInferential methodsVariable modelComputational biologyLarge data setsGeometrical procedureObserved variablesCorrelated variablesAnalysis modelGeneral approachLatent variablesFactor modelingLatent factorsStrong prior beliefsUnderlying structureData setsPrincipal component analysisModelVariablesRegulatory networksLarge numberPrior beliefs
1997
Structural Dynamism in the Concept of Self: A Flexible Model for a Malleable Concept
DeSteno D, Salovey P. Structural Dynamism in the Concept of Self: A Flexible Model for a Malleable Concept. Review Of General Psychology 1997, 1: 389-409. DOI: 10.1037/1089-2680.1.4.389.Peer-Reviewed Original ResearchConcept of selfPsychological processesInitial empirical evidenceNumerous theoriesConceptual structureSelfEmpirical evidenceUnderlying structureSuch differencesDifferential accessibilityLittle attentionMalleable conceptMemoryPresent articleImplicationsAttentionRepresentationFlexible contentConceptTheory
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply