4 papers
Explainable Machine-Learning based Detection of Knee Injuries in Runners
David Fuentes-Jiménez, Sara García-de-Villa, David Casillas-Pérez +2
Running is a widely practiced activity but shows a high incidence of knee injuries, especially Patellofemoral Pain Syndrome (PFPS) and Iliotibial Band Syndrome (ITBS). Identifying…
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-Álvarez
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…
Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem
Enrique Feito-Casares, Francisco M. Melgarejo-Meseguer, José-Luis Rojo-Álvarez
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…