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2020 – today
- 2024
[i4]Lucas Murray, Tatiana Castillo, Jaime Carrasco, Andrés Weintraub, Richard Weber, Isaac Martín de Diego, José Ramón González, Jordi Garcia-Gonzalo:
Advancing Forest Fire Prevention: Deep Reinforcement Learning for Effective Firebreak Placement. CoRR abs/2404.08523 (2024)- 2023
- [i3]Ian Mancilla-Wulff, Jaime Carrasco, Cristobal Pais, Alejandro Miranda, Andrés Weintraub:
Two Scalable Approaches for Burned-Area Mapping Using U-Net and Landsat Imagery. CoRR abs/2311.17368 (2023) - [i2]David Palacios-Meneses, Jaime Carrasco, Sebastián Dávila, Maximiliano Martínez, Rodrigo Mahaluf Recasens, Andrés Weintraub:
Comparison of metaheuristics for the firebreak placement problem: a simulation-based optimization approach. CoRR abs/2311.17393 (2023) - 2022
- [c1]Rodrigo Mahaluf Recasens, Jaime Carrasco
, Fulgencio Lisón, Cristobal Pais, Alejandro Miranda, Felipe de la Barra, Andrés Weintraub:
Combining optimization and fire simulation modeling to protect biodiversity values at a landscape scale. LA-CCI 2022: 1-6 - 2021
- [j2]Cristobal Pais, Jaime Carrasco, Pelagie Elimbi Moudio, Zuo-Jun Max Shen:
Downstream protection value: Detecting critical zones for effective fuel-treatment under wildfire risk. Comput. Oper. Res. 131: 105252 (2021) - [j1]Cristobal Pais, Alejandro Miranda, Jaime Carrasco, Zuo-Jun Max Shen:
Deep fire topology: Understanding the role of landscape spatial patterns in wildfire occurrence using artificial intelligence. Environ. Model. Softw. 143: 105122 (2021)
2010 – 2019
- 2019
- [i1]Jaime Carrasco, Cristobal Pais, Zuo-Jun Max Shen, Andrés Weintraub:
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators. CoRR abs/1909.05949 (2019)
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