1. Prediction and Estimation of Human Motion using Generative-Adversarial Network Open Access Author: Subbakrishna Adishesha, Amogh Title: Prediction and Estimation of Human Motion using Generative-Adversarial Network Graduate Program: Electrical Engineering Keywords: GANsLSTMMotion PredictionDeep LearningNeural NetworksAIPrediction Error File: Download PS-Thesis-AmoghFinal.pdf Committee Members: Robert Collins, Thesis Advisor/Co-AdvisorDavid Jonathan Miller, Committee MemberMehdi Kiani, Committee Member
2. 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
