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Publicaciones
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- Guerrero, M., Segura, M., & Lucio, J. (2021). Proposal of a Framework for Information Migration from Legacy Applications in Solidarity Financial Sector Entities. Advances in Intelligent Systems and Computing, 1273 AISC, 309–320. https://doi.org/10.1007/978-3-030-59194-6_26
- Bravo-Moncayo, L., Lucio Naranjo, J., Pavón García, I., & Mosquera, R. (2017). Neural based contingent valuation of road traffic noise. Transportation Research Part D: Transport and Environment, 50, 26–39. https://doi.org/10.1016/j.trd.2016.10.020
- Bravo-Moncayo, L., Lucio-Naranjo, J., Chávez, M., Pavón-García, I., & Garzón, C. (2019). A machine learning approach for traffic-noise annoyance assessment. Applied Acoustics, 156, 262–270. https://doi.org/10.1016/j.apacoust.2019.07.010
- Bravo-Moncayo, L., Chávez, M., Puyana, V., Lucio-Naranjo, J., Garzón, C., & Pavón-García, I. (2019). A cost-effective approach to the evaluation of traffic noise exposure in the city of Quito, Ecuador. Case Studies on Transport Policy, 7(1), 128–137. https://doi.org/10.1016/j.cstp.2018.12.006
- Bravo-Moncayo, L., Pavón-García, I., Lucio-Naranjo, J., & Mosquera, R. (2017). Contingent valuation of road traffic noise: A case study in the urban area of Quito, Ecuador. Case Studies on Transport Policy, 5(4), 722–730. https://doi.org/10.1016/j.cstp.2017.08.003
- Naranjo, J. F. L., Torres, J. C. B., & Tenenbaum, R. A. (2017). Optimum ANN architecture for HRIR interpolation. In Horizons in Computer Science Research (Vol. 15). https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044567674&partnerID=40&md5=578b500655a547135e95847a27ff09c4
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