Samuel Asante Gyamerah

According to our database, Samuel Asante Gyamerah authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach.

Francis Boabang, Samuel Asante Gyamerah

CoRR, January, 2026

Brownian ReLU(Br-ReLU): A New Activation Function for a Long-Short Term Memory (LSTM) Network.

George Awiakye-Marfo, Elijah Agbosu, Victoria Mawuena Barns, Samuel Asante Gyamerah

CoRR, January, 2026

Modelling financial contagion and optimal policy design for bank runs and systemic risk.

Samuel Asante Gyamerah, Emmanuel Afrifa, Perpetual Andam Boiquaye, Nelson Dzupire

Math. Comput. Simul., 2026

2025

Escaping Local Optima in the Waddington Landscape: A Multi-Stage TRPO-PPO Approach for Single-Cell Perturbation Analysis.

Francis Boabang, Samuel Asante Gyamerah

CoRR, October, 2025

An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI.

Francis Boabang, Samuel Asante Gyamerah

CoRR, August, 2025

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

2024

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

2023

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

2022

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

2021

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

2020

Long-Term Exchange Rate Probability Density Forecasting Using Gaussian Kernel and Quantile Random Forest.

Samuel Asante Gyamerah, Edwin Moyo

Complex., 2020

2019

Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function.

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

CoRR, 2019

On Stock Market Movement Prediction Via Stacking Ensemble Learning Method.

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019