Citations refer to the original publication, not to a Scieee localized version.
Troncoso García, Á. D. R., Martínez Ballesteros, M. D. M., Martínez Álvarez, F., & Troncoso Lora, A. (2023). A new approach based on association rules to add explainability to time series forecasting models. ScienceDirect. https://doi.org/10.1016/j.inffus.2023.01.021
Troncoso García, Ángela del Robledo, et al. A new approach based on association rules to add explainability to time series forecasting models. ScienceDirect, 2023. https://doi.org/10.1016/j.inffus.2023.01.021.
Troncoso García, Ángela del Robledo, María del Mar Martínez Ballesteros, Francisco Martínez Álvarez, and Alicia Troncoso Lora. A new approach based on association rules to add explainability to time series forecasting models. ScienceDirect, 2023. https://doi.org/10.1016/j.inffus.2023.01.021.
Troncoso García, Á. D. R. et al. (2023) A new approach based on association rules to add explainability to time series forecasting models. ScienceDirect. Available at: https://doi.org/10.1016/j.inffus.2023.01.021.
Á. D. R. Troncoso García, M. D. M. Martínez Ballesteros, F. Martínez Álvarez, and A. Troncoso Lora, “A new approach based on association rules to add explainability to time series forecasting models,” ScienceDirect, 2023, doi: 10.1016/j.inffus.2023.01.021.
@misc{troncosogarcia2023approach,
author = {Troncoso García, Ángela del Robledo and Martínez Ballesteros, María del Mar and Martínez Álvarez, Francisco and Troncoso Lora, Alicia},
title = {A new approach based on association rules to add explainability to time series forecasting models},
year = {2023},
publisher = {ScienceDirect},
doi = {10.1016/j.inffus.2023.01.021},
url = {https://doi.org/10.1016/j.inffus.2023.01.021}
}
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