1. Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Open Access Author: Garcia, Miguel Title: Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Graduate Program: Data Analytics (MS) Keywords: Artificial IntelligenceMachine LearningAIDeep LearningDecision TreeLogistic RegressionRandom ForestXGBoostArtificial Neural NetworkDeep Neural NetworkU.S. ArmyMilitaryAttritionRetentionPerson-Event Data EnvironmentPDEDepartment of DefenseDoDArmy Analytics GroupAAGNaive BayesActive DutyEnlistmentCommissioned OfficersSoldiersArea Under the CurveAUCData AnalyticsRetirementMEDPROSPHAMEPCOMDTMSATMSROC CurveVariable ImportancePreprocessingData Quality File: Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf Committee Members: Colin Neill, Program Head/ChairPartha Mukherjee, Thesis Advisor/Co-AdvisorGuanghua Qiu, Committee MemberYouakim Badr, Thesis Advisor/Co-Advisor
2. Resource-efficient Deep Learning: Democratizing AI at Scale Open Access Author: Xu, Dongkuan Title: Resource-efficient Deep Learning: Democratizing AI at Scale Graduate Program: Information Sciences and Technology (PHD) Keywords: Deep LearningDemocratizationEfficientArtificial IntelligenceModel CompressionGraph Neural NetworkAcceleration File: Download PhD_dessertation_Dongkuan_Xu_Resource_efficient_Deep_Learning_FinalVersion.pdf Committee Members: Dongwon Lee, Major Field MemberXiang Zhang, Chair & Dissertation AdvisorXiao Liu, Outside Unit & Field MemberMary Beth Rosson, Program Head/ChairSuhang Wang, Major Field Member