SMU Data Science Review
Volume 3, Number 3 (2020) Fall 2020
Articles
Reading PDFs Using Adversarially Trained Convolutional Neural Network Based Optical Character Recognition
Michael B. Brewer, Michael Catalano, Yat Leung, and David Stroud
Well Oiled Machine: Classifying Machinery Performance Reductions Using Work Order Data
Jacob Brionez, Amber Burnett, Cho Kim, Scott M. Whitney, Thomas N. Anderson, and Sumeet Treehan
BERT for Question Answering on BioASQ
Eric R. Fu, Rikel Djoko, Maysam Mansor, and Robert Slater
Price Optimization for Revenue Maximization at Scale
Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, and Bivin Sadler
Analysis of the Commercial Real Estate Market in a post COVID-19 World
Brandon Croom, Sean Kennedy, Sandesh Ojha, and Justin Sparks
Multi-Modal Classification Using Images and Text
Stuart J. Miller, Justin Howard, Paul Adams, Mel Schwan, and Robert Slater
Automated Machine Learning Framework for Demand Forecasting in Wholesale Beverage Alcohol Distribution
Jenna Ford, Christian Nava, Jonathan Tan, and Bivin Sadler
Flow-Based and Packet-Based Intrusion Detection Using BLSTM
Brook Andreas, Jayaweera Dilruksha, and Eric McCandless
