SMU Data Science Review
Volume 6, Number 2 (2022) Summer 2022
Articles
Market Segmentation and Recency Frequency Monetary Value Analysis for a Freemium Mobile Game
Satvik Ajmera, Taylor Bonar, Dylan Scott, Carol Miu, and Alana Manuel
Application of Probabilistic Ranking Systems on Women’s Junior Division Beach Volleyball
Cameron Stewart, Michael Mazel, and Bivin Sadler
Examining Bias in Jury Selection for Criminal Trials in Dallas County
Megan Ball, Brandon Birmingham, Matt Farrow, Katherine Mitchell, Bivin Sadler, and Lynne Stokes
Hierarchical Neural Networks (HNN): Using TensorFlow to build HNN
Rick Fontenot, Joseph Lazarus, Puri Rudick, and Anthony Sgambellone
Reinforcement Learning for Predicting the US GDP Output Gap
Paul Swenson, Anish Patel, David Stroud, and Jules Stacy
Predicting Twitch.tv Donations using Sentiment Analysis
Alexander J. Gilbert, Jason Herbaugh, Feby Cheruvathoor, Ben Williams, and Alex Tozzo
COV-Inception: COVID-19 Detection Tool Using Chest X-ray
Aswini Thota, Ololade Awodipe, and Rashmi Patel
Classification of Pixel Tracks to Improve Track Reconstruction from Proton-Proton Collisions
Kebur Fantahun, Jobin Joseph, Halle Purdom, and Nibhrat Lohia
Stock Forecasts with LSTM and Web Sentiment
Michael Burgess, Faizan Javed, Nnenna Okpara, and Chance Robinson
Using Natural Language Processing to Increase Modularity and Interpretability of Automated Essay Evaluation and Student Feedback
Chris Roche, Nathan Deinlein, Darryl Dawkins, and Faizan Javed
Short Term Forecasting of Solar Radiation
Ashwin Thota, Bradley Blanchard, Lijju Mathew, Paritosh Rai, and Sid Swarupananda
Classification of Breast Cancer Histopathological Images Using Semi-Supervised GANs
Balaji Avvaru, Nibhrat Lohia, Sowmya Mani, and Vijayasrikanth kaniti
Phishing Detection Using Natural Language Processing and Machine Learning
Apurv Mittal, Dr Daniel Engels, Harsha Kommanapalli, Ravi Sivaraman, and Taifur Chowdhury
Predicting Insulin Pump Therapy Settings
Riccardo L. Ferraro, David Grijalva, and Alex Trahan
A Framework for Predicting the Optimal Price and Time to Sell a Home
Adeel Qureshi, Iosif Mushailov, Patricia Herrera, Phillip Hale, and Reannan McDaniel
Deep Learning for Online Fashion: A Novel Solution for the Retail E-Commerce Industry
Zachary O. Harris, Gowtham G. Katta, Robert Slater, and Joseph L. Woodall IV
Exploration of Data Science Toolbox and Predictive Models to Detect and Prevent Medicare Fraud, Waste, and Abuse
Benjamin P. Goodwin, Adam Canton, and Babatunde Olanipekun
Analysis of First-Time Completion in the Field Service Environment
Gavin Rick, Scott Englerth, Marc Carter, and Hayley Horn
Self-Learning Algorithms for Intrusion Detection and Prevention Systems (IDPS)
Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, and Hayley Horn
Fraud Pattern Detection for NFT Markets
Andrew Leppla, Jorge Olmos, and Jaideep Lamba
