2 citations · 2 across the 5 of their papers we have counts for
5 papers
Risk Is Not the Target: A Monotonic Framework for Evaluating Wildfire Operational Risk Signals
Nicolas Caron, Christophe Guyeux, Hassan Noura +2
Evaluating wildfire risk systems using standard machine-learning metrics such as F1-score or IoU is fundamentally flawed: these metrics assess event prediction accuracy, not the op…
Data-Driven Fire-Zone Segmentation for Improved Short-Term Wildfire Prediction
Nicolas Caron, Christophe Guyeux, Hassan Noura +1
Wildfire prediction models typically discretize study areas into uniform grids, ignoring the heterogeneous spatial distribution of ignitions. We challenge this paradigm by showing…
Proof of Concept: Multi-Target Wildfire Risk Prediction and Large Language Model Synthesis
Nicolas Caron, Christophe Guyeux, Hassan Noura +1
Current state-of-the-art approaches to wildfire risk assessment often overlook operational needs, limiting their practical value for first responders and firefighting services. Eff…
Extreme-value forest fire prediction A study of the Loss Function in an Ordinality Scheme
Nicolas Caron, Christophe Guyeux, Hassan Noura +1
Wildfires are highly imbalanced natural hazards in both space and severity, making the prediction of extreme events particularly challenging. In this work, we introduce the first o…
Localized Forest Fire Risk Prediction: A Department-Aware Approach for Operational Decision Support
Nicolas Caron, Christophe Guyeux, Hassan Noura +1
Forest fire prediction involves estimating the likelihood of fire ignition or related risk levels in a specific area over a defined time period. With climate change intensifying fi…