Black-box vs. white-box: Understanding their advantages and weaknesses from a practical point of view

O Loyola-Gonzalez - IEEE access, 2019 - ieeexplore.ieee.org
Nowadays, in the international scientific community of machine learning, there exists an
enormous discussion about the use of black-box models or explainable models; especially …

A proactive approach for random forest

N Cepero-Pérez, M Moreno-Espino, EF Morales… - Applied …, 2025 - Springer
The performance of machine learning algorithms can be optimized through the
implementation of methodologies that facilitate the development of autonomous and …

[HTML][HTML] Progressive forest: An early stop** criteria for building ensembles

N Cepero-Pérez, M Moreno-Espino… - Computación y …, 2023 - scielo.org.mx
Decision forests improve their predictive power based on the combination of various
decision trees. The number of trees to be used to achieve the best possible accuracy is not …

Detection of Malicious Bots Using a Proactive Supervised Classification Approach

D Pardo Echevarría, N Cepero-Perez… - … Workshop on Artificial …, 2023 - Springer
Malicious bots are one of the most commonly used tools by cybercriminals today to carry out
security breaches. These malicious programs can simulate human activity, which is the …

Proactive Forest: Análisis del impacto de la generalización del parámetro de diversidad

N Cepero Perez, M Moreno Espino… - Revista Cubana de …, 2023 - scielo.sld.cu
Resumen CEPERO PEREZ, Nayma; MORENO ESPINO, Mailyn; GARCIA BORROTO, Milton
y MORALES, Eduardo F.. Proactive Forest: Analysis of the impact of the generalization of the …

Una aplicación del algoritmo proactive Forest para la detección de bots malignos

DP Echevarría, NC Pérez, HD Pando - Revista Cubana de …, 2023 - rctd.uic.cu
Los bots malignos son programas informáticos que tienen la particularidad de simular la
actividad humana, empleándose para ejecutar ataques cibernéticos. Estos programas …