This collection is not for graduation requirements. Please submit your graduation materials to the appropriate collection: Dissertation, Thesis, or Other Graduation Project.
Submissions from 2026
Beyond Accuracy: Machine Learning Models for Predicting Presence of Permanent Molar Caries in U.S. Children and Adolescents with Fairness Consideration, Pritam Deb, Lin Li, and Christina R. Scherrer
Evolution of polypyrrole electrode during electropolymerization and its effect on energy storage performance, Duy Pham, Ryan Tcheutchoua Gouafong, Jake Irvin, Ben McKinney, Jacob Dileonardi, Mason Cox, and Ashish Aphale
Works from 2025
Payments Systems Portfolio: The GENIUS Act and Stablecoins as a Geoeconomic Tool, Ashu Ebot-Tabi
Submissions from 2022
Applications of Integrated Gradients in Credit Risk Modeling, Md Shafiul Alam, Jonathan Boardman, Xiao Huang, and Matthew Turner
A New Kind of Data Science: The Need for Ethical Analytics, Jonathan Boardman
How Social Media and Internet links to Hate Speech, Cyber Bullying, and Defiance/Cybercrime in Youth, Alexis Nixon
Online Fraud by way of Phishing Emails, Alexis Nixon
Privacy Rights Pertaining To the Developing Cyber World We Live In, Alexis Nixon
Security Issues with Software in Maritime Industry: Focus on Artificial Intelligence, Alexis Nixon
Directional Pairwise Class Confusion Bias and Its Mitigation, Sudhashree Sayenju, Ramazan Aygun PhD, Jonathan Boardman, Duleep Prasanna Rathgamage Don, Yifan Zhang PhD, Bill Franks, Sereres Johnston PhD, George Lee, Dan Sullivan, and Girish Modgil PhD
Submissions from 2020
Fusion-Net: Integration of Dimension Reduction and Deep Learning Neural Network for Image Classification, Mohammad Masum and Philippe Laval
Genetic Algorithm Guidance of a Constraint Programming Solver for the Multiple Traveling Salesman Problem, Jessica M. Rudd, Andrew M. Henshaw, Lauren Staples, Sanjoosh Akkineni, Lin Li, and Joe DeMaio
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization, Yan Wang and Sherry Ni
Developing and improving risk models using machine-learning based algorithms, Yan Wang and Sherry Ni
Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms, Yan Wang and Sherry Ni
An Automatic Interaction Detection Hybrid Model for Bankcard Response Classification, Yan Wang, Sherry Ni, and Brian Stone
A two-stage hybrid model by using artificial neural networks as feature construction algorithms, Yan Wang, Sherry Ni, and Brian Stone
Improving Investment Suggestions for Peer-to-Peer (P2P) Lending via Integrating Credit Scoring into Profit Scoring, Yan Wang and Xuelei Sherry Ni
Risk Prediction of Peer-to-Peer Lending Market by a LSTM Model with Macroeconomic Factor, Yan Wang and Xuelei Sherry Ni
Improving risk modeling via feature selection, hyper-parameter adjusting, and model ensembling, Yan Wang, Xuelei Sherry Ni, and Jennifer Priestley
Works from 2019
Text By Mus, Mustafa Abubaker
Zeitgeist in Zigzag™, Ronald B. Baldwin
Foreverwood, Ashley Banks
Radically Simplifying Gated Recurrent Architectures Without Loss of Performance, Jonathan Boardman and Ying Xie
The K.E.L.L.E.Y. System: A New Approach to UI Design, Kelley Bostian
How Social Media Can Benefit Nonprofits, Courtney Bradford
Not that Kind of Sex Bot, Meghan Cooper
We've Got You Covered, Meghan Cooper
Writing for the Web Video Introduction, Meghan Cooper
I Sh*T You Not, Jordan Dollar
Evaluating the Impact of Proactive Care Management with IDStrat, D.J. Donahue and Lauren Staples
You Are Academia, Jason Faust
Making the Case for the Use of the KSU Archives and Special Collections Through Interpretive Videos, Helen Thomas
A Product Affinity Segmentation Framework, Lili Zhang, Jennifer Priestley, Joseph DeMaio, and Sherry Ni
A Descriptive Study of Variable Discretization and Cost-Sensitive Logistic Regression on Imbalanced Credit Data, Lili Zhang, Jennifer Priestley, Herman Ray, and Soon Tan
Submissions from 2018
A Comparison of Machine Learning Algorithms for Prediction of Past Due Service in Commercial Credit, Liyuan Liu M.A, M.S. and Jennifer Lewis Priestley Ph.D.
The Validity of Online Patient Ratings of Physicians: Analysis of Physician Peer Reviews and Patient Ratings, Jennifer L. Priestley, Yiyun Zhou, and Robert McGrath
A Comparison of the Predictive Ability of Logistic Regression and Time Series Analysis on Business Credit Data, Lauren Staples
Influence of the Event Rate on Discrimination Abilities of Bankruptcy Prediction Models, Lili Zhang, Jennifer Priestley, and Xuelei Ni
Submissions from 2017
Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification, Jessica M. Rudd
A Comparison of Decision Tree with Logistic Regression Model for Prediction of Worst Non-Financial Payment Status in Commercial Credit, Jessica M. Rudd MPH, GStat and Jennifer L. Priestley
Logistic Ensemble Models, Bob Vanderheyden and Jennifer L. Priestley
Binary Classification on Past Due of Service Accounts using Logistic Regression and Decision Tree, Yan Wang and Jennifer L. Priestley
Submissions from 2016
An Analysis of Accuracy using Logistic Regression and Time Series, Edwin Baidoo and Jennifer L. Priestley
A Comparison of Machine Learning Techniques and Logistic Regression Method for the Prediction of Past-Due Amount, Jie Hao and Jennifer L. Priestley
Application of Isotonic Regression in Predicting Business Risk Scores, Linh T. Le and Jennifer L. Priestley