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Publicaciones
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- 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, 128–137. https://doi.org/10.1016/j.cstp.2018.12.006
- 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, 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, 262–270. https://doi.org/10.1016/j.apacoust.2019.07.010
- Bravo-Moncayo, L., Mosquera, R., Puyana-Romero, V., Romero, M., Lucio-Naranjo, J., & Suárez, E. (2022). Traffic noise and property values: an instrumental variable strategy for hedonic valuation. Journal of Environmental Planning and Management. https://doi.org/10.1080/09640568.2022.2079079
- 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, 722–730. https://doi.org/10.1016/j.cstp.2017.08.003
- Lucio-Naranjo, J., Torres, J., & Tenenbaum, R. A. (2017). Optimum ANN architecture for HRIR interpolation. En Horizons in Computer Science Research (págs. 121–143).
- Sanaguano, D., Lucio-Naranjo, J., & Tenenbaum, R. (2020). A Conceptual Model for real-time Binaural-Room Impulse Responses generation using ANNs in Virtual Environments: State of the Art. Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, (págs. 572–578).
- Tenenbaum, R. A., Melo, V., Lucio-Naranjo, J., & Santos, L. (2015). Articulation index used as a metrics to validate acoustic virtual reality. 22nd International Congress on Sound and Vibration, ICSV 2015.
- Tenenbaum, R., Melo, V., & Lucio-Naranjo, J. (2014). Virtual Reality: A New Approach To Validate Computer Modeling Auralizations By Using Articulation Indexes. En Virtual Reality: Technologies, Medical Applications and Challenges (págs. 55–71).
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