15 citations · 52 across the 31 of their papers we have counts for
32 papers
Machine Learning for Socially Responsible Portfolio Optimisation
Taeisha Nundlall, Terence L Van Zyl
Socially responsible investors build investment portfolios intending to incite social and environmental advancement alongside a financial return. Although Mean-Variance (MV) models…
A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem
Sonia Bullah, Terence L. van Zyl
Multi-objective portfolio optimisation is a critical problem researched across various fields of study as it achieves the objective of maximising the expected return while minimisi…
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Terence L. van Zyl
Meta-learning, decision fusion, hybrid models, and representation learning are topics of investigation with significant traction in time-series forecasting research. Of these two s…
Volatility forecasting using Deep Learning and sentiment analysis
V Ncume, T. L van Zyl, A Paskaramoorthy
Several studies have shown that deep learning models can provide more accurate volatility forecasts than the traditional methods used within this domain. This paper presents a comp…
Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets
Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten
Missing data is a common concern in health datasets, and its impact on good decision-making processes is well documented. Our study's contribution is a methodology for tackling mis…
Improving Cause-of-Death Classification from Verbal Autopsy Reports
Thokozile Manaka, Terence van Zyl, Deepak Kar
In many lower-and-middle income countries including South Africa, data access in health facilities is restricted due to patient privacy and confidentiality policies. Further, since…