15 citations · 66 across the 32 of their papers we have counts for
5 papers · 1 filter
Surrogate Assisted Methods for the Parameterisation of Agent-Based Models
Rylan Perumal, Terence L van Zyl
Parameter calibration is a major challenge in agent-based modelling and simulation (ABMS). As the complexity of agent-based models (ABMs) increase, the number of parameters require…
Unique Faces Recognition in Videos
Jiahao Huo, Terence L van Zyl
This paper tackles face recognition in videos employing metric learning methods and similarity ranking models. The paper compares the use of the Siamese network with contrastive lo…
Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling
Rylan Perumal, Terence L van Zyl
Wildfire modelling is an attempt to reproduce fire behaviour. Through active fire analysis, it is possible to reproduce a dynamical process, such as wildfires, with limited duratio…
A Framework for Online Investment Algorithms
Andrew Paskaramoorthy, Terence van Zyl, Tim Gebbie
The artificial segmentation of an investment management process into a workflow with silos of offline human operators can restrict silos from collectively and adaptively pursuing a…
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
Nishai Kooverjee, Steven James, Terence van Zyl
Pre-training a deep neural network on the ImageNet dataset is a common practice for training deep learning models, and generally yields improved performance and faster training tim…