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Araya-Letelier, G., Maturana, P., Carrasco, M., Antico, F. C., & Gomez, M. S. (2019). Mechanical-Damage Behavior of Mortars Reinforced with Recycled Polypropylene Fibers. Sustainability, 11(8), 17 pp.
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Billi, M., Mascareno, A., Henriquez, P. A., Rodriguez, I., Padilla, F., & Ruz, G. A. (2022). Learning from crises? The long and winding road of the salmon industry in Chiloe Island, Chile. Mar. Pol., 140, 105069.
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Cataldo-Born, M., Araya-Letelier, G., & Pabon, C. (2016). Obstacles and motivations for earthbag social housing in Chile: energy, environment, economic and codes implications. Rev. Constr., 15(3), 17–26.
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Fustos-Toribio, I., Manque-Roa, N., Vasquez Antipan, D., Hermosilla Sotomayor, M., & Gonzalez, V. L. (2022). Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes. Nat. Hazards Earth Syst. Sci., 22(6), 2169–2183.
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Simon, F., Ordonez, J., Girard, A., & Parrado, C. (2019). Modelling energy use in residential buildings: How design decisions influence final energy performance in various Chilean climates. Indoor Built Environ., 28(4), 533–551.
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Simon, F., Ordonez, J., Reddy, T. A., Girard, A., & Muneer, T. (2016). Developing multiple regression models from the manufacturer's ground-source heat pump catalogue data. Renew. Energy, 95, 413–421.
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Valdebenito, M. A., Wei, P. F., Song, J. W., Beer, M., & Broggi, M. (2021). Failure probability estimation of a class of series systems by multidomain Line Sampling. Reliab. Eng. Syst. Saf., 213, 107673.
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Valle, M. A., Varas, S., & Ruz, G. A. (2012). Job performance prediction in a call center using a naive Bayes classifier. Expert Syst. Appl., 39(11), 9939–9945.
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Vera, R., Cruz, E., Bagnara, M., Araya, R., Henriquez, R., Diaz-Gomez, A., et al. (2018). Evaluation of anticorrosive coatings on carbon steel in marine environments: Accelerated corrosion test and field exposure. Int. J. Electrochem. Sci., 13(1), 898–914.
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Zhou, C. C., Zhang, H. L., Valdebenito, M. A., & Zhao, H. D. (2022). A general hierarchical ensemble-learning framework for structural reliability analysis. Reliab. Eng. Syst. Saf., 225, 108605.
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