Featured Publications
Detecting model misconducts in decentralized healthcare federated learning
Kuo T, Pham A. Detecting model misconducts in decentralized healthcare federated learning. International Journal Of Medical Informatics 2021, 158: 104658. PMID: 34923447, PMCID: PMC10017272, DOI: 10.1016/j.ijmedinf.2021.104658.Peer-Reviewed Original ResearchFederated learningFederated machine learningDetection methodDetection frameworkLearning iterationsMalicious intentLearning methodsMachine learningArtificial intelligenceParameter tuningComputational costCross-institutional collaborationLearningLearning processIterationPerformance detectorsDetectionIncorrect modelFrameworkAlgorithmDatasetDetect misconductIntelligencePlagiarismMethod
2021
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research
Li M, Kuo T. Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. International Journal Of Medical Informatics 2021, 156: 104599. PMID: 34628257, PMCID: PMC8479449, DOI: 10.1016/j.ijmedinf.2021.104599.Peer-Reviewed Original ResearchConceptsSharing frameworkPreview featureSoftware consistBlockchain-based frameworkChest X-ray imagesBlockchain networkSoftware inconsistencySmart contractsMerging functionView imagesBlockchainImprove sharingX-ray imagesFrameworkImagesLatencyInteroperabilityImmutabilityNetworkFeaturesData analysisSoftwareCodePreviewDownstream data analysis
2015
Novel Topic Diffusion Prediction using Latent Semantic and User Behavior
Hung S, Kuo T, Lin S. Novel Topic Diffusion Prediction using Latent Semantic and User Behavior. 2015, 1-6. DOI: 10.1145/2818869.2818877.Peer-Reviewed Original ResearchNatural language processingSocial network analysisLeverage natural language processingReal-world social networksWorld social networksDiffusion predictionLearning-based frameworkDiverse information sourcesSocial network analysis techniquesSocial media dataExtract featuresUser behaviorMicroblog dataPrediction taskBig DataLanguage processingMedia dataResearch domainSocial networksInformation sourcesUsersNovel topicsHttp://mslabMicroblogFramework
2014
Minimizing Expected Loss for Risk-Avoiding Reinforcement Learning
Yeh J, Kuo T, Chen W, Lin S. Minimizing Expected Loss for Risk-Avoiding Reinforcement Learning. 2014, 11-17. DOI: 10.1109/dsaa.2014.7058045.Peer-Reviewed Original Research
2013
Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection
Shen Y, Kuo T, Yeh I, Chen T, Lin S. Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection. Lecture Notes In Computer Science 2013, 7818: 276-288. DOI: 10.1007/978-3-642-37453-1_23.Peer-Reviewed Original Research
2011
Assessing the Quality of Diffusion Models using Real-World Social Network Data
Kuo T, Hung S, Lin W, Lin S, Peng T, Shih C. Assessing the Quality of Diffusion Models using Real-World Social Network Data. 2011, 200-205. DOI: 10.1109/taai.2011.42.Peer-Reviewed Original ResearchIndependent Cascade ModelMicro-blog dataLinear threshold modelMicro-blogInformation propagationReal worldSocial networksIndirect schemePlurkCascade modelEvaluation frameworkIn-degreeNetwork DataSchemeCascading phenomenaFrameworkDifferent circumstancesPageRankTwitterNetworkDataFacebookDiffusion eventsModelDiffusion model