2017
Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning
Santos J, Savii R, Ide J, Li C, Quiles M, Basgalupp M. Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. Lecture Notes In Computer Science 2017, 10404: 298-313. DOI: 10.1007/978-3-319-62392-4_22.Peer-Reviewed Original ResearchDeep learningDeep learning methodsDeep neural networksDeep belief networkSmall data setsComputational visionClassification of pathologiesBelief networkFMRI classificationVoice recognitionNeural networkLearning methodsRobust trainingBrain decodingSmall dataData setsLearningCocaine dependenceNovel stratification methodTraditional techniquesNetworkClassificationCocaine dependentsNon-addicted individualsDrug use
2016
Information Fusion for Cocaine Dependence Recognition Using fMRI
Faria F, Cappabianco F, Li C, Ide J. Information Fusion for Cocaine Dependence Recognition Using fMRI. 2016, 1107-1112. DOI: 10.1109/icpr.2016.7899784.Peer-Reviewed Original ResearchDistinct feature setsInformation fusion approachEnsemble of classifiersInformation fusionFeature extractionFMRI classificationFeature setsFusion approachArt methodsClassification accuracyExtensive evaluationFinal accuracyNew featuresExperimental resultsTraditional methodologiesClassificationAccuracyPattern analysisClassifierHuman lifeMulti-voxel pattern analysisConnectivity measuresPowerful toolMethodologyRecognition