SMU Data Science Review
Volume 5, Number 1 (2021)
Articles
Automated Analysis of RFPs using Natural Language Processing (NLP) for the Technology Domain
Sterling Beason, William Hinton, Yousri A. Salamah, and Jordan Salsman
A Machine Learning Method of Determining Causal Inference applied to Shifts in Voting Preferences between 2012-2016
Jaclyn A. Coate, Reagan Meagher, Megan Riley, and John Santerre
Modeling and Application of Neural Networks for Automotive Damage Appraisals
Fred Poon, Yang Zhang, Jonathon Roach, David Josephs, and John Santerre
Generating and Smoothing Handwriting with Long Short-Term Memory Networks
muchigi kimari, Edward Fry, Ikenna Nwaogu, YuMei Bennett, and John Santerre
Rule out Screening for Undiagnosed Dementia and Alzheimer’s Disease Using an EHR Based Machine Learning Solution
Branum Stephan, David A. Julovich, Dustin Bracy, and Jeff Nguyen
CURLe Hair Care
Tazeb Abera, Jasmine Coleman, and Gabriel Gonzales
Machine Learning in the Health Industry: Predicting Congestive Heart Failure and Impactors
Alexandra Norman, James Harding, and Daria Zhukova
Analysis of Individual Player Performances and Their Effect on Winning in College Soccer
Angelo Bravo, Thomas Karba, Sean McWhirter, and Billy Nayden
Enhanced Data Science Methods for Freight Optimization at Kelly-Moore Paints
Lance Dacy, Reannan McDaniel, and Shawn Jung
Analyzing Empirical Quality Metrics of Deep Learning Models for Antimicrobial Resistance
Huy H. Nguyen, Sanjay Pillay, Allison Roderick, Hao Wang, and John Santerre
Using Machine Learning Methods to Predict the Movement Trajectories of the Louisiana Black Bear
Daniel Clark, David Shaw, Armando Vela, Shane Weinstock, John Santerre, and Joseph D. Clark
