On Stock Market Movement Prediction Via Stacking Ensemble Learning Method. - Samuel Asante Gyamerah; Philip Ngare; Dennis Ikpe (CIFEr, 2019)

Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function. - Samuel Asante Gyamerah; Philip Ngare; Dennis Ikpe (CoRR, 2019)

Long-Term Exchange Rate Probability Density Forecasting Using Gaussian Kernel and Quantile Random Forest. - Samuel Asante Gyamerah; Edwin Moyo (Complex., 2020)

Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression. - Samuel Asante Gyamerah (Complex., 2021)

On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model. - Samuel Asante Gyamerah (J. King Saud Univ. Comput. Inf. Sci., 2022)

Mathematical Modeling and Stability Analysis of Systemic Risk in the Banking Ecosystem. - Irène Irakoze; Fulgence Nahayo; Dennis Ikpe; Samuel Asante Gyamerah; Frederi Viens (J. Appl. Math., 2023)

Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective. - Atinuke O. Adebanji; Clement Asare; Samuel Asante Gyamerah (Int. J. Medical Informatics, 2024)

Evaluating Nonprice Terms to Ration Microfinance Loans Based on Expected Loan Loss Function. - Enoch Sakyi-Yeboah; Umoro Pharuk Salifu; Samuel Asante Gyamerah; Perpetual Andam Boiquaye (J. Appl. Math., 2025)

An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI. - Francis Boabang; Samuel Asante Gyamerah (CoRR, 2025)