2024
Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications
Huang S, Jafari R, Mortazavi B. Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications. IEEE Open Journal Of Engineering In Medicine And Biology 2024, 5: 330-338. PMID: 38899025, PMCID: PMC11186651, DOI: 10.1109/ojemb.2024.3398444.Peer-Reviewed Original ResearchData preprocessing frameworkPreprocessing frameworkMachine learningInternet of Medical ThingsMean-absolute-errorHealth monitoring tasksEnd-to-endRoot-mean-square-errorMedical ThingsSensor dataAdaptation frameworkMonitoring tasksSystolic blood pressure estimationMedical tasksWearable recordingsDatasetBlood pressure estimationPulsatile signalsTaskDataMedical applicationsFrameworkInternetWearableThings
2023
Modeling user choice behavior under data corruption: Robust learning of the latent decision threshold model
Lin F, Qian X, Mortazavi B, Wang Z, Huang S, Chen C. Modeling user choice behavior under data corruption: Robust learning of the latent decision threshold model. IISE Transactions 2023, 56: 1307-1320. DOI: 10.1080/24725854.2023.2279080.Peer-Reviewed Original ResearchData corruptionReal-world user dataUser-centered systemsRobust learning frameworkRobust learning methodNew mobile appUser dataUser behaviorLearning frameworkLearning methodsArt methodsMobile appsRobust learningUsers' choice behaviorPrediction accuracyBad actorsUsersNew applicationsConsiderable research effortFrameworkResearch effortsModel estimationRecent yearsAlgorithmApps