SMU Data Science Review
Volume 1, Number 1 (2018)
Articles
Open Cycle: Forecasting Ovulation for Family Planning
Karen Clark, Mridul Jain, Araya Messa, Vinh Le, and Eric C. Larson
Blockchain in Payment Card Systems
Darlene Godfrey-Welch, Remy Lagrois, Jared Law, Russell Scott Anderwald, and Daniel W. Engels
Predicting How U.S. Counties will Vote in Presidential Elections Through Analysis of Socio-Economic Factors, Voting Heuristics, and Party Platforms
Joseph Stoffa, Randall Lisbona, Christopher Farrar, and Mike Martos
Comparative Study: Reducing Cost to Manage Accessibility with Existing Data
Claire Chu, Bill Kerneckel, Eric C. Larson, Nathan Mowat, and Christopher Woodard
Cognitive Virtual Admissions Counselor
Kumar Raja Guvindan Raju, Cory Adams, and Raghuram Srinivas
WalkNet: A Deep Learning Approach to Improving Sidewalk Quality and Accessibility
Andrew Abbott, Alex Deshowitz, Dennis Murray, and Eric C. Larson
Comparative Study of Deep Learning Models for Network Intrusion Detection
Brian Lee, Sandhya Amaresh, Clifford Green, and Daniel Engels
Employee Attrition: What Makes an Employee Quit?
Alex Frye, Christopher Boomhower, Michael Smith, Lindsay Vitovsky, and Stacey Fabricant
Evaluation of Artificial Intelligence Frameworks
Crystal Todd, Ruby Vazquez Pena, and Raghuram Srinivas
Seismology and Volcanology: Exploration of Volcanoes, Long-Periods, and Machines - Predicting Volcano Eruption Using Signature Seismic Data
Kyle Killion, Rajeev Kumar, Celia J. Taylor, and Gabriele Morra
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
Consumer Welfare and Price Discrimination: A Fine Line
Marie Wallmark, Eyal Greenberg, and Dan Engels
