Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators. - Jaime Carrasco; Cristobal Pais; Zuo-Jun Max Shen; Andrés Weintraub (CoRR, 2019)

Downstream protection value: Detecting critical zones for effective fuel-treatment under wildfire risk. - Cristobal Pais; Jaime Carrasco; Pelagie Elimbi Moudio; Zuo-Jun Max Shen (Comput. Oper. Res., 2021)

Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence. - Cristobal Pais; Alejandro Miranda; Jaime Carrasco; Zuo-Jun Max Shen (Environ. Model. Softw., 2021)

Combining optimization and fire simulation modeling to protect biodiversity values at a landscape scale. - Rodrigo Mahaluf Recasens; Jaime Carrasco; Fulgencio Lisón; Cristobal Pais; Alejandro Miranda; Felipe de la Barra; Andrés Weintraub (LA-CCI, 2022)

Two Scalable Approaches for Burned-Area Mapping Using U-Net and Landsat Imagery. - Ian Mancilla-Wulff; Jaime Carrasco; Cristobal Pais; Alejandro Miranda; Andrés Weintraub (CoRR, 2023)

Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach. - David Palacios-Meneses; Jaime Carrasco; Sebastián Dávila; Maximiliano Martínez; Rodrigo Mahaluf Recasens; Andrés Weintraub (CoRR, 2023)

Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement. - Lucas Murray; Tatiana Castillo; Jaime Carrasco; Andrés Weintraub; Richard Weber; Isaac Martín de Diego; José Ramón González; Jordi Garcia-Gonzalo (CoRR, 2024)