Samuel Asante Gyamerah

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Brownian ReLU(Br-ReLU): A New Activation Function for a Long-Short Term Memory (LSTM) Network.
CoRR
George Awiakye-Marfo, Elijah Agbosu, Victoria Mawuena Barns, Samuel Asante Gyamerah
2026 J jnl
Modelling financial contagion and optimal policy design for bank runs and systemic risk.
Math. Comput. Simul.
Samuel Asante Gyamerah, Emmanuel Afrifa, Perpetual Andam Boiquaye, Nelson Dzupire
2026 J jnl
Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach.
CoRR
Francis Boabang, Samuel Asante Gyamerah
2025 J jnl
An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI.
CoRR
Francis Boabang, Samuel Asante Gyamerah
2025 J jnl
Escaping Local Optima in the Waddington Landscape: A Multi-Stage TRPO-PPO Approach for Single-Cell Perturbation Analysis.
CoRR
Francis Boabang, Samuel Asante Gyamerah
2025 J jnl
Evaluating Nonprice Terms to Ration Microfinance Loans Based on Expected Loan Loss Function.
J. Appl. Math.
Enoch Sakyi-Yeboah, Umoro Pharuk Salifu, Samuel Asante Gyamerah, Perpetual Andam Boiquaye
2024 J jnl
Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective.
Int. J. Medical Informatics
Atinuke O. Adebanji, Clement Asare, Samuel Asante Gyamerah
2023 J jnl
Mathematical Modeling and Stability Analysis of Systemic Risk in the Banking Ecosystem.
J. Appl. Math.
Irène Irakoze, Fulgence Nahayo, Dennis Ikpe, Samuel Asante Gyamerah, Frederi Viens
2022 J jnl
On forecasting the intraday Bitcoin price using ensemble of variational mode decomposition and generalized additive model.
J. King Saud Univ. Comput. Inf. Sci.
Samuel Asante Gyamerah
2021 J jnl
Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression.
Complex.
Samuel Asante Gyamerah
2020 J jnl
Long-Term Exchange Rate Probability Density Forecasting Using Gaussian Kernel and Quantile Random Forest.
Complex.
Samuel Asante Gyamerah, Edwin Moyo
2019 J jnl
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function.
CoRR
Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe
2019 — conf
On Stock Market Movement Prediction Via Stacking Ensemble Learning Method.
CIFEr
Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe