Spyros Kondylatos

Uncertainty-aware deep learning for wildfire danger forecasting

This work presents an uncertainty-aware DL framework that jointly captures epistemic (model) and aleatoric ( data) uncertainty to enhance short-term wildfire danger forecasting and significantly improves the accuracy and reliability of wildfire danger forecasting, advancing the development of trustworthy wildfire DL sy...