2020
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty
Li X, Zhou Y, Dvornek NC, Gu Y, Ventola P, Duncan JS. Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. Lecture Notes In Computer Science 2020, 12261: 792-801. PMID: 34308439, PMCID: PMC8299327, DOI: 10.1007/978-3-030-59710-8_77.Peer-Reviewed Original ResearchShapley value explanationMedical image dataDeep learning modelsFeature importance estimationImage dataLearning modelComplex deep learning modelsImportance estimationFeature importance resultsShapley value frameworkInput feature importancePublic neuroimaging datasetComputational complexityShapley explanationsFeature importanceUncertainty estimation methodExplanation workParticular predictionNeuroimaging datasetsMedical fieldImportance resultsImpressive powerEstimation methodUnderlying propertiesImportant approach
2019
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery
Li X, Dvornek NC, Zhou Y, Zhuang J, Ventola P, Duncan JS. Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. Lecture Notes In Computer Science 2019, 11492: 718-730. PMID: 32982121, PMCID: PMC7519580, DOI: 10.1007/978-3-030-20351-1_56.Peer-Reviewed Original ResearchShapley value explanationAutism spectrum disorderFunctional magnetic resonance imagingDeep learning modelsDeep learning classifierCooperative game theoryLearning modelLearning classifiersGraph structureRandom forestGame theoryMachine learning methodsMNIST datasetTraditional learning strategiesSpectrum disorderFMRI biomarkersComputational complexityLearning methodsHuman perceptionHierarchical pipelineFeature importanceN featuresLearning strategiesInput dataEfficient interpretation