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Acuna, V., Ferreira, C. E., Freire, A. S., & Moreno, E. (2014). Solving the maximum edge biclique packing problem on unbalanced bipartite graphs. Discret Appl. Math., 164, 2–12.
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Allende, H., Salas, R., & Moraga, C. (2003). A robust and effective learning algorithm for feedforward neural networks based on the influence function. Lect. Notes Comput. Sc., 2652, 28–36.
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Alvarez-Miranda, E., & Pereira, J. (2017). Designing and constructing networks under uncertainty in the construction stage: Definition and exact algorithmic approach. Comput. Oper. Res., 81, 178–191.
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Aracena, J., Demongeot, J., Fanchon, E., & Montalva, M. (2013). On the number of different dynamics in Boolean networks with deterministic update schedules. Math. Biosci., 242(2), 188–194.
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Aracena, J., Goles, E., Moreira, A., & Salinas, L. (2009). On the robustness of update schedules in Boolean networks. Biosystems, 97(1), 1–8.
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Averbakh, I., & Pereira, J. (2021). Tree optimization based heuristics and metaheuristics in network construction problems. Comput. Oper. Res., 128, 105190.
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Averbakh, I., & Pereira, J. (2018). Lateness Minimization in Pairwise Connectivity Restoration Problems. INFORMS J. Comput., 30(3), 522–538.
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Barrera, J., Cancela, H., & Moreno, E. (2015). Topological optimization of reliable networks under dependent failures. Oper. Res. Lett., 43(2), 132–136.
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Barrera, J., Moreno, E., Munoz, G., & Romero, P. (2022). Exact reliability optimization for series-parallel graphs using convex envelopes. Networks, to appear.
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Barrera, J., Moreno, E., & Varas, S. (2020). A decomposition algorithm for computing income taxes with pass-through entities and its application to the Chilean case. Ann. Oper. Res., 286(1-2), 545–557.
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Borquez-Paredes, D., Beghelli, A., Leiva, A., Jara, N., Lozada, A., Morales, P., et al. (2022). Agent-based distributed protocol for resource discovery and allocation of virtual networks over elastic optical networks. J. Opt. Commun. Netw., 14(8), 667–679.
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Borquez-Paredes, D., Beghelli, A., Leiva, A., & Murrugarra, R. (2018). Does fragmentation avoidance improve the performance of dynamic spectrum allocation in elastic optical networks? Photonic Netw. Commun., 35(3), 287–299.
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Calderón, F., Lozada, A., Morales, P., Bórquez-Paredes, D., Jara, N., Olivares, R., et al. (2022). Heuristic Approaches for Dynamic Provisioning in Multi-band Elastic Optical Networks. IEEE Commun. Lett., 26(2), 379–383.
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Calderon, F. I., Lozada, A., Borquez-Paredes, D., Olivares, R., Davalos, E. J., Saavedra, G., et al. (2020). BER-Adaptive RMLSA Algorithm for Wide-Area Flexible Optical Networks. IEEE Access, 8, 128018–128031.
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Canals, C., Maroulis, S., Canessa, E., Chaigneau, S., & Mizala, A. (2022). Mechanisms Underlying Choice-Set Formation: The Case of School Choice in Chile. Soc. Sci. Comput. Rev., Early Access.
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Canessa, E., & Riolo, R. L. (2006). An agent-based model of the impact of computer-mediated communication on organizational culture and performance: an example of the application of complex systems analysis tools to the study of CIS. J. Inf. Technol., 21(4), 272–283.
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Cho, A. D., Carrasco, R. A., & Ruz, G. A. (2022). A RUL Estimation System from Clustered Run-to-Failure Degradation Signals. Sensors, 22(14), 5323.
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Cho, A. D., Carrasco, R. A., & Ruz, G. A. (2022). Improving Prescriptive Maintenance by Incorporating Post-Prognostic Information Through Chance Constraints. IEEE Access, 10, 55924–55932.
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Cohen, Y. M., Keskinocak, P., & Pereira, J. (2021). A note on the flowtime network restoration problem. IISE Trans., 53(12), 1351–1352.
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Colini-Baldeschi, R., Cominetti, R., & Scarsini, M. (2019). Price of Anarchy for Highly Congested Routing Games in Parallel Networks. Theor. Comput. Syst., 63(1), 90–113.
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