43 citations · 77 across the 6 of their papers we have counts for
7 papers
Exploiting Field Dependencies for Learning on Categorical Data
Zhibin Li, Piotr Koniusz, Lu Zhang +2
Traditional approaches for learning on categorical data underexploit the dependencies between columns (\aka fields) in a dataset because they rely on the embedding of data points d…
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton +5
We apply the Physics Informed Neural Network (PINN) to the problem of wildfire fire-front modelling. We use the PINN to solve the level-set equation, which is a partial differentia…
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
Joel Janek Dabrowski, Daniel Edward Pagendam
We propose a novel approach to perform approximate Bayesian inference in complex models such as Bayesian neural networks. The approach is more scalable to large data than Markov Ch…
The effect of biologically mediated decay rates on modelling soil carbon sequestration in agricultural settings
Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2
Microbial biomass carbon (MBC), a crucial soil labile carbon fraction, is the most active component of the soil organic carbon (SOC) that regulates bio-geochemical processes in ter…
Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data
Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2
Soil carbon accounting and prediction play a key role in building decision support systems for land managers selling carbon credits, in the spirit of the Paris and Kyoto protocol a…
Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam +1
The contribution of this study is a novel approach to introduce mean reversion in multi-step-ahead forecasts of state-space models. This approach is demonstrated in a prawn pond wa…