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)

Vulcano: Operational Fire Suppression Management Using Deep Reinforcement Learning. - Cristobal Pais (AAMAS, 2020)

Item Assignment Problem in a Robotic Mobile Fulfillment System. - Hyun-Jung Kim; Cristobal Pais; Zuo-Jun Max Shen (IEEE Trans Autom. Sci. Eng., 2020)

Data-driven Planning in the Face of Supply Disruption in Global Agricultural Supply Chains. - Marie Pelagie Elimbi Moudio; Cristobal Pais; Zuo-Jun Max Shen (IEEM, 2021)

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)

Stochastic forestry planning under market and growth uncertainty. - Cristobal Pais; Andrés Weintraub; Zuo-Jun Max Shen (Comput. Oper. Res., 2023)

Using Drone Swarm to Stop Wildfire: A Predict-then-optimize Approach. - Shijie Pan; Aoran Cheng; Yiqi Sun; Kai Kang; Cristobal Pais; Yulun Zhou; Zuojun Shen 001 (CoRR, 2024)