Rodrigo De La Fuente

12 papers Misc 4Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones.
Eur. J. Oper. Res.
Rodrigo De La Fuente, Maichel M. Aguayo, Carlos Contreras Bolton
2024 J jnl
Real-time optimization for relocation and dispatching of Emergency Medical Services with balanced workload and outsourced ride-hailing services.
Comput. Ind. Eng.
Yamil Essus, Rodrigo De La Fuente, Akshay Venkitasubramanian
2022 J jnl
A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity.
Expert Syst. Appl.
Patricio Salas, Rodrigo De La Fuente, Sebastian Astroza, Juan Antonio Carrasco
2021 Misc conf
A Simulation-Based Approach To Compare Policies and Stakeholders' Behaviors For The Ride-Hailing Assignment Problem.
WSC
Ignacio Erazo, Rodrigo De La Fuente
2021 J jnl
A deep learning ensemble model for wildfire susceptibility mapping.
Ecol. Informatics
Alexandra Bjånes, Rodrigo De La Fuente, Pablo Mena
2021 J jnl
A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process.
Comput. Ind. Eng.
Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo
2020 J jnl
A facility location and equipment emplacement technique model with expected coverage for the location of fire stations in the Concepción province, Chile.
Comput. Ind. Eng.
Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo
2020 J jnl
New compact integer programming formulations for the multi-trip vehicle routing problem with time windows.
Comput. Ind. Eng.
Daniel A. Neira, Maichel M. Aguayo, Rodrigo De La Fuente, Mathias A. Klapp
2019 Misc conf
A Simulation Model to Determine Staffing Strategy and Warehouse Capacity for a Local Distribution Center.
WSC
Rodrigo De La Fuente, Juan Gatica, Raymond L. Smith
2018 Misc conf
Enabling Intelligent Processes in simulation utilizing the TensorFlow Deep Learning Resources.
WSC
Rodrigo De La Fuente, Ignacio Erazo, Raymond L. Smith
2017 Misc conf
Metamodeling a system dynamics model: A contemporary comparison of methods.
WSC
Rodrigo De La Fuente, Raymond Smith
2016 — conf
Towards Model-Driven Virtual Patching for Web Applications.
LADC
Gustavo Betarte, Rodrigo De La Fuente, Rodrigo Martínez, Juan Pirez, Felipe Zipitria