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Rodrigo De La Fuente
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2020 – today
- 2024
- [j7]Yamil Essus, Rodrigo De La Fuente, Akshay Venkitasubramanian:
Real-time optimization for relocation and dispatching of Emergency Medical Services with balanced workload and outsourced ride-hailing services. Comput. Ind. Eng. 187: 109823 (2024) - [j6]Rodrigo De La Fuente, Maichel M. Aguayo, Carlos Contreras Bolton:
An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones. Eur. J. Oper. Res. 313(2): 435-451 (2024) - 2022
- [j5]Patricio Salas, Rodrigo De La Fuente, Sebastian Astroza, Juan Antonio Carrasco:
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. 193: 116253 (2022) - 2021
- [j4]Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo:
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. 157: 107242 (2021) - [j3]Alexandra Bjånes, Rodrigo De La Fuente, Pablo Mena:
A deep learning ensemble model for wildfire susceptibility mapping. Ecol. Informatics 65: 101397 (2021) - [c5]Ignacio Erazo, Rodrigo De La Fuente:
A Simulation-Based Approach To Compare Policies and Stakeholders' Behaviors For The Ride-Hailing Assignment Problem. WSC 2021: 1-12 - 2020
- [j2]Daniel A. Neira, Maichel M. Aguayo, Rodrigo De La Fuente, Mathias A. Klapp:
New compact integer programming formulations for the multi-trip vehicle routing problem with time windows. Comput. Ind. Eng. 144: 106399 (2020) - [j1]Sebastian A. Rodriguez, Rodrigo De La Fuente, Maichel M. Aguayo:
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. 147: 106522 (2020)
2010 – 2019
- 2019
- [c4]Rodrigo De La Fuente, Juan Gatica, Raymond L. Smith:
A Simulation Model to Determine Staffing Strategy and Warehouse Capacity for a Local Distribution Center. WSC 2019: 1743-1754 - 2018
- [c3]Rodrigo De La Fuente, Ignacio Erazo, Raymond L. Smith:
Enabling Intelligent Processes in simulation utilizing the TensorFlow Deep Learning Resources. WSC 2018: 1108-1119 - 2017
- [c2]Rodrigo De La Fuente, Raymond Smith:
Metamodeling a system dynamics model: A contemporary comparison of methods. WSC 2017: 1926-1937 - 2016
- [c1]Gustavo Betarte, Rodrigo De La Fuente, Rodrigo Martínez, Juan Pirez, Felipe Zipitria:
Towards Model-Driven Virtual Patching for Web Applications. LADC 2016: 109-118
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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