Big data scalability based on Spark Machine Learning Libraries. - Anna Karen Gárate-Escamilla; Amir Hajjam El Hassani; Emmanuel Andres (ICBDR, 2019)

Big data execution time based on Spark Machine Learning Libraries. - Anna Karen Gárate-Escamilla; Amir Hajjam El Hassani; Emmanuel Andres (ICCBDC, 2019)

Dimensionality Reduction in Supervised Models-based for Heart Failure Prediction. - Anna Karen Gárate-Escamilla; Amir Hajjam El Hassani; Emmanuel Andres (ICPRAM, 2019)

Missing Data and Their Effect on Algorithm Selection for the Bin Packing Problem. - José Carlos Ortiz-Bayliss; Anna Karen Gárate-Escamilla; Hugo Terashima-Marín (MCPR, 2024)

A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems. - Dorde Klisura; Astrid R. Bernaga Torres; Anna Karen Gárate-Escamilla; Rajesh Roshan Biswal; Ke Yang; Hilal Pataci; Anthony Rios (ACL (1), 2025)

Comparative Analysis of Classification Models Using Midjourney-generated Images in the Realm of Machine Learning. - Anna Karen Gárate-Escamilla; Rafael Martínez; José Carlos Ortiz-Bayliss; Amir Hajjam (Computación y Sistemas (CyS), 2025)

Machine Learning, Missing Values, and Algorithm Selectors: The Untold Story. - Anna Karen Gárate-Escamilla; José Carlos Ortiz-Bayliss; Hugo Terashima-Marín (Computación y Sistemas (CyS), 2025)