•  
  •  
 

SMU Data Science Review

Volume 3, Number 2 (2020)

Articles

PDF

A Novel Methodology to Identify the Primary Topics Contained Within the COVID-19 Research Corpus
Allen Crane, Brock Freidrich, William Fehlman, Igor Frolow, and Daniel W. Engels

PDF

Predicting Attrition - a Driver for Creating Value, Realizing Strategy, and Refining Key HR Processes
Kevin Mendonsa, Maureen Stolberg, Vivek Viswanathan, and Scott Crum

PDF

Spoken Language Recognition on Open-Source Datasets
Brady Arendale, Samira Zarandioon, Ryan Goodwin, and Douglas Reynolds

PDF

Acute Lymphoblastic Leukemia Detection Using Depthwise Separable Convolutional Neural Networks
Laurence P. Clinton Jr., Karen M. Somes, Yongjun Chu, and Faizan Javed

PDF

Compressed DNA Representation for Efficient AMR Classification
John Partee, Robert Hazell, Anjli Solsi, and John Santerre

PDF

Forecasting Spare Parts Sporadic Demand Using Traditional Methods and Machine Learning - a Comparative Study
Bhuvana Adur Kannan, Ganesh Kodi, Oscar Padilla, Dough Gray, and Barry C. Smith

PDF

Fall Detection: Threshold Analysis of Wrist-Worn Motion Sensor Signals
Michael J. Wolfe, Jospeh Caguioa, Andy Nguyen, and Jacquelyn Cheun PhD

PDF

Reducing Age Bias in Machine Learning: An Algorithmic Approach
Adriana Solange Garcia de Alford, Steven K. Hayden, Nicole Wittlin, and Amy Atwood

PDF

Toxic Language Detection using Robust Filters
Deepti Kunupudi, Shantanu Godbole, Pankaj Kumar, and Suhas Pai

PDF

Time Series Analysis of Offshore Buoy Light Detection and Ranging (LIDAR) Windspeed Data
Aditya Garapati, Charles J. Henderson, Carl Walenciak, and Brian T. Waite

PDF

Topic Modeling to Understand Technology Talent
Chad Madding, Allen Ansari, Chris Ballenger, and Aswini Thota

PDF

SARS-CoV-2 Pandemic Analytical Overview with Machine Learning Predictability
Anthony Tanaydin, Jingchen Liang, and Daniel W. Engels

PDF

Using AI to Diagnose COVID-19 from Patient Chest CT Scans
Samuel Arellano, Liang Huang, Joe Jiang, Kenneth Richardson, and Omar Yasser