activity
20192026
most citedCrop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function

54 citations · 70 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026

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

George Awiakye-Marfo, Elijah Agbosu, Victoria Mawuena Barns +1

Deep learning models are effective for sequential data modeling, yet commonly used activation functions such as ReLU, LeakyReLU, and PReLU often exhibit gradient instability when a…

quant-ph2026

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

Francis Boabang, Samuel Asante Gyamerah

Variational Quantum Algorithms are a vital part of quantum computing. It is a blend of quantum and classical methods for tackling tough problems in machine learning, chemistry, and…

cs.LG2025

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

Francis Boabang, Samuel Asante Gyamerah

Modeling cellular responses to genetic and chemical perturbations remains a central challenge in single-cell biology. Existing data-driven frameworks have advanced perturbation pre…

cs.LG2025★ 1 cited

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

Francis Boabang, Samuel Asante Gyamerah

Detecting fraudulent auto-insurance claims remains a challenging classification problem, largely due to the extreme imbalance between legitimate and fraudulent cases. Standard lear…

stat.AP2022

Modelling the Hourly Consumption of Electricity during Period of Power Crisis

Samuel Asante Gyamerah, Henry Ofoe Agbi-Kaiser, Keziah Ewura Adjoa Amankwah +2

In this paper, we capture the dynamic behaviour of hourly consumption of electricity during the period of power crisis ("dumsor" period) in Ghana using two-state Markov switching a…

physics.soc-ph2021★ 1 cited

A review of effects of climate change on Agriculture in Africa

Samuel Asante Gyamerah, Dennis Ikpe

Currently, agriculture in Africa contributes only a tenth to global Green House Gas (GHG) emissions from agriculture. Despite its relatively low contribution to GHG, a conundrum of…

q-fin.MF2020

State Space Vasicek Model of a Longevity Bond

Georgina Onuma Kalu, Chinemerem Dennis Ikpe, Benjamin Ifeanyichukwu Oruh +1

Life expectancy have been increasing over the past years due to better health care, feeding and conducive environment. To manage future uncertainty related to life expectancy, vari…

q-fin.ST2019

Estimating the volatility of Bitcoin using GARCH models

Samuel Asante Gyamerah

In this paper, an application of three GARCH-type models (sGARCH, iGARCH, and tGARCH) with Student t-distribution, Generalized Error distribution (GED), and Normal Inverse Gaussian…

q-fin.ST2019★ 4 cited

Are Bitcoins price predictable? Evidence from machine learning techniques using technical indicators

Samuel Asante Gyamerah

The uncertainties in future Bitcoin price make it difficult to accurately predict the price of Bitcoin. Accurately predicting the price for Bitcoin is therefore important for decis…

q-fin.MF2019★ 10 cited

Hedging crop yields against weather uncertainties -- a weather derivative perspective

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

The effects of weather on agriculture in recent years have become a major global concern. Hence, the need for an effective weather risk management tool (i.e., weather derivatives)…

stat.AP2019★ 54 cited

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

Samuel Asante Gyamerah, Philip Ngare, Dennis Ikpe

A reliable and accurate forecasting model for crop yields is of crucial importance for efficient decision-making process in the agricultural sector. However, due to weather extreme…