Contreas-Bravo, L. E., Nieves-Pimiento, N., & González Guerrero, K. (2023). Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods. Ingeniería (0121-750 X), 28(1), 1-25. https://doi.org/10.14483/23448393.19514
ISO-690 (author-date, English)CONTREAS-BRAVO, Leonardo Emiro, NIEVES-PIMIENTO, Nayive und GONZÁLEZ GUERRERO, Karolina, 2023. Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods. Ingeniería (0121-750 X). 1 Januar 2023. Vol. 28, no. 1, p. 1-25. DOI 10.14483/23448393.19514.
Modern Language Association 9th editionContreas-Bravo, L. E., N. Nieves-Pimiento, und K. González Guerrero. „Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods.“. Ingeniería (0121-750 X), Bd. 28, Nr. 1, Januar 2023, S. 1-25, https://doi.org/10.14483/23448393.19514.
Mohr Siebeck - Recht (Deutsch - Österreich)Contreas-Bravo, Leonardo Emiro/Nieves-Pimiento, Nayive/González Guerrero, Karolina: Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods., Ingeniería (0121-750 X) 2023, 1-25.
Emerald - HarvardContreas-Bravo, L.E., Nieves-Pimiento, N. und González Guerrero, K. (2023), „Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods.“, Ingeniería (0121-750 X), Vol. 28 No. 1, S. 1-25.