6 papers
Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows
Enrique Feito-Casares, Francisco M. Melgarejo-Meseguer, Elena Casiraghi +2
The rapid expansion of Internet of Things (IoT) ecosystems has led to increasingly complex and heterogeneous network topologies. Traditional network monitoring and visualization to…
Latent Diffusion for Internet of Things Attack Data Generation in Intrusion Detection
Estela Sánchez-Carballo, Francisco M. Melgarejo-Meseguer, José Luis Rojo-Ãlvarez
Intrusion Detection Systems (IDSs) are a key component for protecting Internet of Things (IoT) environments. However, in Machine Learning-based (ML-based) IDSs, performance is ofte…
Explainable Autoencoder-Based Anomaly Detection in IEC 61850 GOOSE Networks
Dafne Lozano-Paredes, Luis Bote-Curiel, Juan Ramón Feijóo-MartÃnez +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…
Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
Enrique Feito-Casares, Francisco M. Melgarejo-Meseguer, José-Luis Rojo-Ãlvarez
Motivated by the growing interest in representation learning approaches that uncover the latent structure of high-dimensional data, this work proposes new algorithms for reconstruc…
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…