SMU Data Science Review
Volume 5, Number 2 (2021)
Articles
Qualitative Leveraging Natural Language Processing to Establish Judge Incrimination Statistics to Educate Voters in Re-elections
Aurian Ghaemmaghami, Paul Huggins, Grace Lang, Julia Layne, and Robert Slater
Identification and Characterization of Forest Fire Risk Zones Leveraging Machine Learning Methods
Joshua Balson, Matt Chinchilla, Cam Lu, Jeff Washburn, and Nibhrat Lohia
Machine Learning Forecasting of Construction Demand in the USA as Indicated by Economic, Geographic and Demographic Cues
Jayson Barker, Emil Ramos, John Rodgers, and Saqib Shahzad
Identifying Vacant Lots to Reduce Violent Crime in Dallas, Texas
Laura Lazarescou, Andrew Mejia, Tina Pai, Sabrina Purvis, Robert Slater, and Owen Wilson-Chavez
Intelligent Investment Portfolio Management using Time-Series Analytics and Deep Reinforcement Learning
Sachin Chavan, Pradeep Kumar, and Tom Gianelle
Urban Traffic Simulation: Network and Demand Representation Impacts on Congestion Metrics
Aaron Faltesek, Balasubramaniam Dakshinamoorthi, Sreeni Prabhala, Akbar Thobani, Anu Kuncheria, and Jane Macfarlane
Machine Learning Approach to Distinguish Ulcerative Colitis and Crohn’s Disease Using SMOTE (Synthetic Minority Oversampling Technique) Methods
Kris Ghimire, Walter Lai, Yasser Omar, Thad Schwebke, and Jamie Vo
PokéGAN: P2P (Pet to Pokémon) Stylizer
Michael B. Hedge, Morgan Nelson, Thomas Pengilly, and Michael Weatherford
Real-Time Voice Biometric Speaker Verification
Inderbir Dhillon, Jason Rupp, Aniketh Vankina, and Robert Slater
Rocket Learn
Daanesh Ibrahim, Jules Stacy, David Stroud, and Yusi Zhang
