Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood, Terence Van Zyl

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Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data by Warren Freeborough, Terence van Zyl

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Investigating Transfer Learning in Graph Neural Networks by Nishai Kooverjee, Steven James, Terence van Zyl

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Modeling E-Behaviour, Personality and Academic Performance with Machine Learning by Serepu Bill-William Seota, Richard Klein, Terence van Zyl

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An Alzheimer’s disease category progression sub-grouping analysis using manifold learning on ADNI by Dustin van der Haar, Ahmed Moustafa, Samuel L. Warren, Hany Alashwal, Terence van Zyl

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