1. MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS Open Access Author: Baksa, Bridget Marie Title: MOSCH: A MULTI-OBJECTIVE SPATIAL CLUSTERING ALGORITHM WITH CONSTRAINT-HANDLING METHODS Area of Honors: Information Sciences and Technology Keywords: Artificial IntelligenceMachine LearningData ScienceClusteringAlgorithmsInformation ScienceTechnologyNYCCitiBikeBig DataSoftware EngineeringPython File: Download Bridget_Baksa_-_Schreyer_Thesis.pdf Thesis Supervisors: Dr. Abdullah Konak, Thesis SupervisorDr. Sandy Feinstein, Thesis Honors Advisor
2. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: APPLICATIONS IN ARMY LOGISTICS Open Access Author: Wonderling, Benjamin Jordan Title: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: APPLICATIONS IN ARMY LOGISTICS Area of Honors: Supply Chain and Information Systems Keywords: Artificial IntelligenceAIMachine LearningLogisticsSupply ChainInternet of ThingsIndustry 4.0Army LogisticsMilitary LogisticsChange Management File: Download Wonderling_Thesis_Final_Submission__2019-_ARTIFICIAL_INTELLIGENCE_AND_MACHINE_LEARNING__APPLICATIONS_IN_ARMY_LOGISTICS_1_.pdf Thesis Supervisors: Dr. Robert Alexander Novack, Thesis SupervisorDr. John C. Spychalski, Thesis Honors Advisor
3. Deep Ensemble Learning for Robust Defense Against Adversaries Open Access Author: Adams, Ethan Title: Deep Ensemble Learning for Robust Defense Against Adversaries Area of Honors: Information Sciences and Technology Keywords: AIArtificial IntelligenceMLMachine LearningTensorFlowKerasPythonAI SecurityEnsemble LearningDeep LearningNeural NetworksAdversarialAdversaries File: Download Adams_ThesisFinal.pdf Thesis Supervisors: Mahdi Nasereddin, Thesis SupervisorSandy Feinstein, Thesis Honors Advisor
4. Artificial Intelligence & Machine Learning: Supply Chain Risk Management Open Access Author: Pan, Tina Title: Artificial Intelligence & Machine Learning: Supply Chain Risk Management Area of Honors: Supply Chain and Information Systems Keywords: AIMLSCRMArtificial IntelligenceMachine LearningSupply Chain Risk ManagementAI in SCRMRisksSupply Chain File: Download Tina_Pan_Thesis_AL_MLinSCRM.pdf Thesis Supervisors: Robert Alexander Novack, Thesis SupervisorJohn C Spychalski, Thesis Honors Advisor
5. PairBoost: Gradient Boosted Classification from Pairwise Data Open Access Author: Ashtekar, Neil Title: PairBoost: Gradient Boosted Classification from Pairwise Data Area of Honors: Computer Science Keywords: Machine LearningEnsemble LearningGradient BoostingData ScienceArtificial Intelligence File: Download Ashtekar_Neil_PairBoost.pdf Thesis Supervisors: Mehrdad Mahdavi, Thesis SupervisorRebecca Jane Passonneau, Thesis Honors Advisor
6. Analysis of Automation in the Fast Fashion Supply Chain Open Access Author: Blackford, Grace Title: Analysis of Automation in the Fast Fashion Supply Chain Area of Honors: Project and Supply Chain Management Keywords: Supply ChainAutomationFast FashionClothingBlockchainMachine LearningArtificial IntelligenceRobotic Process Automation and OptimizationSupply Chain ManagmentClothing IndustryAutomation TechnologiesArtificisl IntelligenceRobotic Process AutomationOptimization File: Download Grace_Blackford-_Analysis_of_Automation_in_the_Fast_Fashion_Supply_Chain.pdf Thesis Supervisors: Richard Peng, Thesis SupervisorPeerasit Patanakul, Thesis Honors Advisor
7. Artificial Intelligence and Machine Learning: Making Practical Use of a Growing Technology Open Access Author: Wackerman, Benjamin Title: Artificial Intelligence and Machine Learning: Making Practical Use of a Growing Technology Area of Honors: Supply Chain and Information Systems Keywords: Artificial IntelligenceMachine LearningSupply ChainOptimizationForecastingInventory File: Download Thesis_Final_Draft.pdf Thesis Supervisors: Robert Alexander Novack, Thesis SupervisorJohn C Spychalski, Thesis Honors Advisor
8. Fairness in Artificial Intelligence Algorithms Open Access Author: Rodriguez, Alina Title: Fairness in Artificial Intelligence Algorithms Area of Honors: Information Sciences and Technology Keywords: Artificial IntelligenceMachine LearningFairnessEnsemble LearningEqualityEquityBiasTechnology File: Download Fairness_In_AI_Thesis_Final.pdf Thesis Supervisors: Abdullah Konak, Thesis SupervisorJeanne Marie Rose, Thesis Honors Advisor