In many lower-and-middle income countries including South Africa, data a...
Lower-and-middle income countries are faced with challenges arising from...
Techniques of hybridisation and ensemble learning are popular model fusi...
Graph neural networks (GNNs) build on the success of deep learning model...
Our research focuses on developing a computational framework to simulate...
Portfolio optimisation is a multi-objective optimisation problem (MOP), ...
The artificial segmentation of an investment management process into a
w...
Pre-training a deep neural network on the ImageNet dataset is a common
p...