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427 * ! Wed, 8/10/2022, 10:30 AM - 12:20 PM CC-140B
Intelligent Systems and Decision Support — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Nathaniel O'Connell, Wake Forest School of Medicine
10:35 AM The Better Simple Network Scale-Up Model (NSUM) Estimator Is the Average of Ratios, Not the Ratio of Averages
Jessica P Kunke, University of Washington; Tyler McCormick, University of Washington; Ian Laga, Penn State University; Xiaoyue Niu, The Pennsylvania State University
10:50 AM Optimizing Fraud Detection Using Machine Learning Techniques
Jennifer Renee Leach, Rowan University; Umashanger Thayasivam, Rowan University
11:05 AM Leveraging Synthetic Data and Machine Learning to Effectively Provide Tuned Guidance for Statistical Analysis Decisions
Lucas Koepke, National Institute of Standards and Technology; Mary Gregg, National Institute of Standards and Technology; Michael Frey, National Institute of Standards and Technology
11:20 AM Statistical Learning Applications in Inverse Flight Dynamics
Cody Nichols, Federal Aviation Administration; Tyler Cook, University of Central Oklahoma
11:35 AM Policy Learning in Procurement
George Vassos, A.P. Moller Maersk A/S
11:50 AM Efficient Algorithms for Learning to Control Bandits with Unobserved Contexts
Mohamad Kazem Shirani Faradonbeh, University of Georgia; Hongju Park Park, University of Georgia
12:05 PM Letting Go with Eyes Wide Open: Automatic Model Retraining in Production in Industry
Sergiy Nesterko, Fidelity Investments