| A deep learning ensemble model for wildfire susceptibility mapping A Bjanes, R De la Fuente, P Mena Ecological Informatics 65, 2021 | 81 | 2021 |
| A systematic comparative evaluation of machine learning classifiers and discrete choice models for travel mode choice in the presence of response heterogeneity P Salas, R De la Fuente, S Astroza, JA Carrasco Expert Systems with Applications 193, 116253, 2022 | 69 | 2022 |
| New compact integer programming formulations for the multi-trip vehicle routing problem with time windows DA Neira, MM Aguayo, R De la Fuente, MA Klapp Computers & Industrial Engineering 144, 106399, 2020 | 51 | 2020 |
| A facility location and equipment emplacement technique model with expected coverage for the location of fire stations in the Concepción province, Chile S Rodriguez, R De la Fuente, M Aguayo Computers & Industrial Engineering 147, 106522, 2020 | 36 | 2020 |
| An optimization-based approach for an integrated forest fire monitoring system with multiple technologies and surveillance drones R De la Fuente, MM Aguayo, C Contreras-Bolton European Journal of Operational Research 313 (2), 435-451, 2024 | 19 | 2024 |
| A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process S Rodriguez, R De la Fuente, M Aguayo Computers & Industrial Engineering 157 (July 2021, 107242), 2021 | 15 | 2021 |
| A simulation model to determine staffing strategy and warehouse capacity for a local distribution center R De la Fuente, J Gatica, RL Smith 2019 Winter Simulation Conference (WSC), 1743-1754, 2019 | 13 | 2019 |
| Metamodeling a system dynamics model: a contemporary comparison of methods R De la Fuente, R Smith 2017 Winter Simulation Conference (WSC), 1926-1937, 2017 | 13 | 2017 |
| Enabling intelligent processes in simulation utilizing the TensorFlow deep learning resources R De la Fuente, I Erazo, RL Smith 2018 Winter Simulation Conference (WSC), 1108-1119, 2018 | 12 | 2018 |
| A mixed-integer programming methodology to design tidal current farms integrating both cost and benefits: A case study in the Chacao Channel, Chile M Aguayo, P Fierro, R De la Fuente, I Sepúlveda, D Figueroa Applied Energy 294, 116980, 2021 | 6 | 2021 |
| Scheduling mobile dental clinics: A heuristic approach considering fairness among school districts IA Sepúlveda, MM Aguayo, R De la Fuente, G Latorre-Núñez, C Obreque, ... Health care management science 27 (1), 46-71, 2024 | 4 | 2024 |
| Comparison of machine learning methods for dry biomass estimation based on green logging residues chips R De la Fuente, J Cancino, E Acuña International Journal of Forest Engineering 32 (2), 174-184, 2021 | 3 | 2021 |
| Real-time optimization for relocation and dispatching of Emergency Medical Services with balanced workload and outsourced ride-hailing services Y Essus, R De La Fuente, A Venkitasubramanian Computers & Industrial Engineering 187, 109823, 2024 | 2 | 2024 |
| A Simulation-Based Approach to Compare Policies and Stakeholders’ Behaviors for the Ride-Hailing Assignment Problem I Erazo, R De la Fuente 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 2 | 2021 |
| Analysis of attribute importance in multinomial logit models using Shapley values-based methods P Salas, R De la Fuente, S Astroza, JA Carrasco Journal of Choice Modelling 54, 100538, 2025 | | 2025 |
| Application of Non-Supervised Learning Tools and Visualization Techniques to Understand the Intrinsic Freshmen Enrollment Segmentation: An application to freshmen engineering … P Salas, R De la Fuente, P Sáez, A Riquelme Research in Statistics 3 (1), 2433290, 2025 | | 2025 |
| Discrete Events Simulation R De la Fuente, H Rajagopalan SAGE Publications, Inc., 2023 | | 2023 |
| Technical and Economic Viability of Agricultural Residue-Based Power Generation in Southern Chile Through Discrete Location Models J Jimenez, C Rivas, R De La Fuente Proceedings of the 3rd International Conference on BioGeoSciences: Modeling …, 2022 | | 2022 |
| Analizing the Variable Importance from Multinomial Logit Model Using Shapley Values-Based Methods: A Travel Mode Choiceapplication P Salas, R De la Fuente, S Astroza, JA Carrasco Available at SSRN 4571403, 0 | | |
Maichel M. AguayoResearcher, Facultad de Ingeniería y Tecnología, Universidad San SebastiánDirección de correo verificada de uss.cl