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Terence L. van Zyl

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A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem

Apr 13, 2023
Sonia Bullah, Terence L. van Zyl

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Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting

Mar 20, 2023
Terence L. van Zyl

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Towards a methodology for addressing missingness in datasets, with an application to demographic health datasets

Nov 05, 2022
Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten

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Multi-Modal Recommendation System with Auxiliary Information

Oct 13, 2022
Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang

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Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations

Sep 13, 2022
Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy

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Knowledge Graph Fusion for Language Model Fine-tuning

Jun 21, 2022
Nimesh Bhana, Terence L. van Zyl

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Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization

Mar 10, 2022
Mufhumudzi Muthivhi, Terence L. van Zyl

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A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling

Dec 16, 2021
Thabang Mathonsi, Terence L. van Zyl

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Incremental Class Learning using Variational Autoencoders with Similarity Learning

Oct 16, 2021
Jiahao Huo, Terence L. van Zyl

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Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning

Oct 07, 2021
Thabang Mathonsi, Terence L. van Zyl

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