Citations refer to the original publication, not to a Scieee localized version.
Canero, F. M., Rodríguez Galiano, V. F., & Aragonés, D. (2024). Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates. Elsevier. https://doi.org/10.1016/j.heliyon.2024.e30228
Canero, Francisco M., et al. Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates. Elsevier, 2024. https://doi.org/10.1016/j.heliyon.2024.e30228.
Canero, Francisco M., Víctor Francisco Rodríguez Galiano, and David Aragonés. Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates. Elsevier, 2024. https://doi.org/10.1016/j.heliyon.2024.e30228.
Canero, F. M., Rodríguez Galiano, V. F. and Aragonés, D. (2024) Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates. Elsevier. Available at: https://doi.org/10.1016/j.heliyon.2024.e30228.
F. M. Canero, V. F. Rodríguez Galiano, and D. Aragonés, “Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates,” Elsevier, 2024, doi: 10.1016/j.heliyon.2024.e30228.
@misc{canero2024machine,
author = {Canero, Francisco M. and Rodríguez Galiano, Víctor Francisco and Aragonés, David},
title = {Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates},
year = {2024},
publisher = {Elsevier},
doi = {10.1016/j.heliyon.2024.e30228},
url = {https://doi.org/10.1016/j.heliyon.2024.e30228}
}
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