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SMU Data Science Review

Volume 1, Number 1 (2018)

Articles

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Open Cycle: Forecasting Ovulation for Family Planning
Karen Clark, Mridul Jain, Araya Messa, Vinh Le, and Eric C. Larson

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Blockchain in Payment Card Systems
Darlene Godfrey-Welch, Remy Lagrois, Jared Law, Russell Scott Anderwald, and Daniel W. Engels

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Comparative Study: Reducing Cost to Manage Accessibility with Existing Data
Claire Chu, Bill Kerneckel, Eric C. Larson, Nathan Mowat, and Christopher Woodard

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Cognitive Virtual Admissions Counselor
Kumar Raja Guvindan Raju, Cory Adams, and Raghuram Srinivas

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WalkNet: A Deep Learning Approach to Improving Sidewalk Quality and Accessibility
Andrew Abbott, Alex Deshowitz, Dennis Murray, and Eric C. Larson

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Comparative Study of Deep Learning Models for Network Intrusion Detection
Brian Lee, Sandhya Amaresh, Clifford Green, and Daniel Engels

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Employee Attrition: What Makes an Employee Quit?
Alex Frye, Christopher Boomhower, Michael Smith, Lindsay Vitovsky, and Stacey Fabricant

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Evaluation of Artificial Intelligence Frameworks
Crystal Todd, Ruby Vazquez Pena, and Raghuram Srinivas

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How Much Privacy Do We Have Today? A Study of the Life of Marc Mezvinsky
Miguel Mares, Salomon Gilles, Brian D. Gobran, and Dan Engels

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Consumer Welfare and Price Discrimination: A Fine Line
Marie Wallmark, Eyal Greenberg, and Dan Engels