15 citations · 27 across the 5 of their papers we have counts for
5 papers
Test-Time Augmentation for Tabular-to-Image Classifiers under Distribution Shifts
Malena Loza, Felipe Grijalva, Eva Milara +3
Tabular-to-image methods that convert tabular data into visual representations have emerged as a novel paradigm for leveraging the high performance of deep learning models. Despite…
Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models
Malena Loza, David Chushig-Muzo, Eva Milara +3
Tabular Foundation Models (TFMs) have emerged as novel approaches for tabular predictive tasks, demonstrating competitive predictive performance to ensemble tree-based models. Most…
Explainable Autoencoder-Based Anomaly Detection in IEC 61850 GOOSE Networks
Dafne Lozano-Paredes, Luis Bote-Curiel, Juan Ramón Feijóo-Martínez +2
The IEC 61850 Generic Object-Oriented Substation Event (GOOSE) protocol plays a critical role in real-time protection and automation of digital substations, yet its lack of native…
Understanding the Disparities in Mathematics Performance: An Interpretability-Based Examination
Ismael Gomez-Talal, Luis Bote-Curiel, Jose Luis Rojo-Alvarez
Problem. Educational disparities in Mathematics performance are a persistent challenge. This study aims to unravel the complex factors contributing to these disparities among stude…
Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data
Luis Bote-Curiel, Sergio Ruiz-Llorente, Sergio Muñoz-Romero +4
This study explores a data-driven approach to discovering novel clinical and genetic markers in ovarian cancer (OC). Two main analyses were performed: (1) a nonlinear examination o…