Rodrigo De La Fuente

According to our database, Rodrigo De La Fuente authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones.

Rodrigo De La Fuente, Maichel M. Aguayo, Carlos Contreras Bolton

Eur. J. Oper. Res., March, 2024

Real-time optimization for relocation and dispatching of Emergency Medical Services with balanced workload and outsourced ride-hailing services.

Yamil Essus, Rodrigo De La Fuente, Akshay Venkitasubramanian

Comput. Ind. Eng., January, 2024

2022

A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity.

Patricio Salas, Rodrigo De La Fuente, Sebastian Astroza, Juan Antonio Carrasco

Expert Syst. Appl., 2022

2021

A deep learning ensemble model for wildfire susceptibility mapping.

Alexandra Bjånes, Rodrigo De La Fuente, Pablo Mena

Ecol. Informatics, 2021

A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process.

Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo

Comput. Ind. Eng., 2021

A Simulation-Based Approach To Compare Policies and Stakeholders' Behaviors For The Ride-Hailing Assignment Problem.

Ignacio Erazo, Rodrigo De La Fuente

Proceedings of the Winter Simulation Conference, 2021

2020

A facility location and equipment emplacement technique model with expected coverage for the location of fire stations in the Concepción province, Chile.

Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo

Comput. Ind. Eng., 2020

New compact integer programming formulations for the multi-trip vehicle routing problem with time windows.

Daniel A. Neira, Maichel M. Aguayo, Rodrigo De La Fuente, Mathias A. Klapp

Comput. Ind. Eng., 2020

2019

A Simulation Model to Determine Staffing Strategy and Warehouse Capacity for a Local Distribution Center.

Rodrigo De La Fuente, Juan Gatica, Raymond L. Smith

Proceedings of the 2019 Winter Simulation Conference, 2019

2018

Enabling Intelligent Processes in simulation utilizing the TensorFlow Deep Learning Resources.

Rodrigo De La Fuente, Ignacio Erazo, Raymond L. Smith

Proceedings of the 2018 Winter Simulation Conference, 2018

2017

Metamodeling a system dynamics model: A contemporary comparison of methods.

Rodrigo De La Fuente, Raymond Smith

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

Towards Model-Driven Virtual Patching for Web Applications.

Gustavo Betarte, Rodrigo De La Fuente, Rodrigo Martínez, Juan Pirez, Felipe Zipitria

Proceedings of the 2016 Seventh Latin-American Symposium on Dependable Computing, 2016