SMU Data Science Review
Volume 2, Number 1 (2019)
Articles
Tidying and Analysis of the 2014 Texas English II End-of-Course Exam
David Churchman and Abigail Morton Garland
Machine Learning Predictions of No-Show Appointments in a Primary Care Setting
Joseph Denney, Samuel Coyne, and Sohail Rafiqi
Postsecondary Attainment: Identifying Areas to Improve Retention for North Carolina Community Colleges
Noelle Brown, John Heinen, Matthew Rega, Lizzy Sterling, and Jacob Drew
Application of Machine Learning in Satellite Derived Bathymetry and Coastline Detection
Kevin Dickens and Albert Armstrong
Border Gateway Protocol Anomaly Detection Using Machine Learning Techniques
Philip Edwards, Lu Cheng, and Girish Kadam
Leveraging Natural Language Processing Applications and Microblogging Platform for Increased Transparency in Crisis Areas
Ernesto Carrera-Ruvalcaba, Johnson Ekedum, Austin Hancock, and Ben Brock
Machine Learning vs Conventional Analysis Techniques for the Earth’s Magnetic Field Study
Sheri Loftin, Sarah J. Fite, Laura V. Bishop, and Stavros Kotsiaros
Automate Nuclei Detection Using Neural Networks
Jonathan Flores, Thejas Prasad, Jordan Kassof, and Robert Slater
Machine Learning Pipeline for Exoplanet Classification
George Clayton Sturrock, Brychan Manry, and Sohail Rafiqi
The Simultaneous Detection and Classification of Mass and Calcification Leading to Breast Cancer in Mammograms
Scott Gozdzialski, Alex Stern, Ireti Fasere, and Daniel W. Engels
Visualization and Machine Learning Techniques for NASA’s EM-1 Big Data Problem
Antonio P. Garza III, Jose Quinonez, Misael Santana, and Nibhrat Lohia
Repairing Landsat Satellite Imagery Using Deep Machine Learning Techniques
Griffin J. Lane, Patricia Goresen, and Robert Slater
Leveraging Reviews to Improve User Experience
Anthony Schams, Iram Bakhtiar, and Cristina Stanley
Network Traffic Behavioral Analytics for Detection of DDoS Attacks
Alma D. Lopez, Asha P. Mohan, and Sukumaran Nair
KadAfrica: Survey Analysis to Support Research for Smallholder Farmers
Gregory Asamoah, Robert Gill, Frank Sclafani, and Bivin Sadler
Analysis of Computer Audit Data to Create Indicators of Compromise for Intrusion Detection
Steven Millett, Michael Toolin, and Justin Bates
Use Advances in Data Science and Computing Power to Invest in Stock Market
Mustafa A. Sakarwala and Anthony Tanaydin
Demand Forecasting: An Open-Source Approach
Murtada Shubbar and Jared Smith
Dare to Venture: Data Science Perspective on Crowdfunding
Ruhaab Markas and Yisha Wang
Identification and Classification of Poultry Eggs: A Case Study Utilizing Computer Vision and Machine Learning
Jeremy Lubich, Kyle Thomas, and Daniel W. Engels
ASL Reverse Dictionary - ASL Translation Using Deep Learning
Ann Nelson, KJ Price, and Rosalie Multari
Identifying High Risk Patients for Hospital Readmission
Ethan Graham, Asha Saxena, and Heather Kirby
Self-Driving Cars: Evaluation of Deep Learning Techniques for Object Detection in Different Driving Conditions
Ramesh Simhambhatla, Kevin Okiah, Shravan Kuchkula, and Robert Slater
Optimize the Effectiveness of Recruiting Campaigns
Ryan A. Talk, Lakshmi Bobbillapati, and Marshall Coyle
