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Volume 3, Number 1 (2020)

Articles

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Stationary Exercise Classification using IMUs and Deep Learning
Andrew M. Heroy, Zackary Gill, Samantha Sprague, David Stroud, and John Santerre

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Improving Syntactic Relationships Between Language and Objects
Benjamin Wilke, Tej Tenmattam, Anand Rajan, Andrew Pollock, and Joel Lindsey

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Optimizing the Enrollment Funnel with Decision Trees and Rule Based List
Stephen Merritt, Anne Francomano, and Martin Garcia

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QLIME-A Quadratic Local Interpretable Model-Agnostic Explanation Approach
Steven Bramhall, Hayley Horn, Michael Tieu, and Nibhrat Lohia

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Demand Forecasting for Alcoholic Beverage Distribution
Lei Jiang, Kristen M. Rollins, Meredith Ludlow, and Bivin Sadler

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Advancing Performance of Retail Recommendation Systems
Lisa Leininger, Johnny Gipson, Kito Patterson, and Brad Blanchard

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Demand Forecasting In Wholesale Alcohol Distribution: An Ensemble Approach
Tanvi Arora, Rajat Chandna, Stacy Conant, Bivin Sadler, and Robert Slater

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sEMG Gesture Recognition With a Simple Model of Attention
John D. Josephs Jr, Carson Drake, Che Cobb, and John Santerre

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Universal Vector Neural Machine Translation with Effective Attention
Joshua Yi, Satish Mylapore, Ryan Paul, and Robert Slater

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Forecasting San Francisco Bay Area Rapid Transit (BART) Ridership
Swee K. Chew, Alec Lepe, Aaron Tomkins, and Peter Scheirer

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Automated Spectroscopic Detection And Mapping Using ALMA and Machine LearningTechniques
Steven Cocke, Andrew Wilkins, Josephine McDaniel, John Santerre, and Conor Nixon

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Toxic Comment Classification
Sara Zaheri, Jeff Leath, and David Stroud