Citations refer to the original publication, not to a Scieee localized version.
Caraballo de la Cruz, L. E., Díaz Báñez, J. M., Rodríguez Sánchez, F., Sánchez Canales, V., & Ventura Molina, I. (2022). Scaling and compressing melodies using geometric similarity measures. Elsevier. https://doi.org/10.1016/j.amc.2022.127130
Caraballo de la Cruz, Luis Evaristo, et al. Scaling and compressing melodies using geometric similarity measures. Elsevier, 2022. https://doi.org/10.1016/j.amc.2022.127130.
Caraballo de la Cruz, Luis Evaristo, José Miguel Díaz Báñez, Fabio Rodríguez Sánchez, Vanesa Sánchez Canales, and Inmaculada Ventura Molina. Scaling and compressing melodies using geometric similarity measures. Elsevier, 2022. https://doi.org/10.1016/j.amc.2022.127130.
Caraballo de la Cruz, L. E. et al. (2022) Scaling and compressing melodies using geometric similarity measures. Elsevier. Available at: https://doi.org/10.1016/j.amc.2022.127130.
L. E. Caraballo de la Cruz, J. M. Díaz Báñez, F. Rodríguez Sánchez, V. Sánchez Canales, and I. Ventura Molina, “Scaling and compressing melodies using geometric similarity measures,” Elsevier, 2022, doi: 10.1016/j.amc.2022.127130.
@misc{caraballodelacruz2022scaling,
author = {Caraballo de la Cruz, Luis Evaristo and Díaz Báñez, José Miguel and Rodríguez Sánchez, Fabio and Sánchez Canales, Vanesa and Ventura Molina, Inmaculada},
title = {Scaling and compressing melodies using geometric similarity measures},
year = {2022},
publisher = {Elsevier},
doi = {10.1016/j.amc.2022.127130},
url = {https://doi.org/10.1016/j.amc.2022.127130}
}
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