SMU Data Science Review
Volume 2, Number 2 (2019)
Articles
Improve Image Classification Using Data Augmentation and Neural Networks
Shanqing Gu, Manisha Pednekar, and Robert Slater
Forecasting Localized Weather-Based Photovoltaic Energy Production
Kevin Chang, Afreen Siddiqui, and Robert Slater
Visualizing United States Energy Production Data
Bruce P. Kimbark, Melissa Luzardo, Charles South, and James Taber
Pristine Sentence Translation: A New Approach to a Timeless Problem
Meenu Ahluwalia, Brian Coari, and Ben Brock
Longitudinal Analysis with Modes of Operation for AES
Dana Geislinger, Cory Thigpen, and Daniel W. Engels
A Personalized Approach to Understanding Human Emotions
Gregory A. Lazenby, Kim Wong, and Daniel W. Engels
AWS EC2 Instance Spot Price Forecasting Using LSTM Networks
Jeffrey Lancon, Yejur Kunwar, David Stroud, Monnie McGee, and Robert Slater
Machine Learning to Predict the Likelihood of a Personal Computer to Be Infected with Malware
Maryam Shahini, Ramin Farhanian, and Marcus Ellis
Teacher Retention: Identifying Areas to Improve Teacher Recruitment and Retention in North Carolina Public Schools
Bin Yu, Nuoya Rezsonya, and Jacob Drew
Machine Learning Predicts Aperiodic Laboratory Earthquakes
Olha Tanyuk, Daniel Davieau, Charles South, and Daniel W. Engels
Using Machine Learning for Antimicrobial Resistant DNA Identification
Jason I. Lingle and John Santerre
Predicting Premature Birth Risk with cfRNA
Jason Lin, Jonathan Marin, and John Santerre
Identifying Undervalued Players in Fantasy Football
Christopher D. Morgan, Caroll Rodriguez, Korey MacVittie, Robert Slater, and Daniel W. Engels
Automated Pleural Effusion Detection on Chest X-Rays
Nathan Wall, Muthu Palanisamy, and John Santerre
Machine Learning in Support of Electric Distribution Asset Failure Prediction
Robert D. Flamenbaum, Thomas Pompo, Christopher Havenstein, and Jade Thiemsuwan
Predicting Wind Turbine Blade Erosion using Machine Learning
Casey Martinez, Festus Asare Yeboah, Scott Herford, Matt Brzezinski, and Viswanath Puttagunta
A Machine Learning Model for Clustering Securities
Vanessa Torres, Travis Deason, Michael Landrum, and Nibhrat Lohria
