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Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires., , , , , , , and . CoRR, (2022)Resolving Ethics Trade-offs in Implementing Responsible AI., , , , and . CoRR, (2024)A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models., , , , , and . SPA, page 110-115. IEEE, (2022)Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems., , , and . CoRR, (2024)An Emulation Framework for Fire Front Spread., , , and . CoRR, (2022)A Neural Emulator for Uncertainty Estimation of Fire Propagation., , , , and . INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 367-376. Elsevier, (2023)Zero tolerance ecology: improving ecological inference by modelling the source of zero observations, , , , , , , and . Ecology Letters, 8 (11): 1235--1246 (2005)Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland., , , and . Remote. Sens., 14 (6): 1495 (2022)Smallset Timelines: A Visual Representation of Data Preprocessing Decisions., , , and . FAccT, page 1136-1153. ACM, (2022)A framework for modelling spatio-temporal trends in crop production using generalised additive models., , and . Comput. Electron. Agric., (September 2023)