15 citations · 66 across the 32 of their papers we have counts for
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cs.LG2020
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…
cs.LG2020★ 15 cited
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…
cs.LG2020
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…