Stock market decision support modeling with tree-based AdaBoost ensemble machine learning models. - Ernest Kwame Ampomah; Zhiguang Qin; Gabriel Nyame; Francis Effirim Botchey (Informatica (Slovenia), 2020)

Mobile Money Fraud Prediction - A Cross-Case Analysis on the Efficiency of Support Vector Machines, Gradient Boosted Decision Trees, and Naïve Bayes Algorithms. - Francis Effirim Botchey; Zhen Qin 002; Kwesi Hughes-Lartey (Inf., 2020)

An Assessment of Data Location Vulnerability for Human Factors Using Linear Regression and Collaborative Filtering. - Kwesi Hughes-Lartey; Zhen Qin 002; Francis Effirim Botchey; Sarah Dsane-Nsor (Inf., 2020)

Predicting Fraud in Mobile Money Transactions using Machine Learning: The Effects of Sampling Techniques on the Imbalanced Dataset. - Francis Effirim Botchey; Zhen Qin 002; Kwesi Hughes-Lartey; Ernest Kwame Ampomah (Informatica (Slovenia), 2021)