Online learning for anomaly detection via subdivisible convex hulls. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (IJCNN, 2020)

A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas; Diego Orellana-Cañás (WETICE, 2023)

A One-Class Classification method based on Expanded Non-Convex Hulls. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Inf. Fusion, 2023)

Fast deep autoencoder for federated learning. - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Pattern Recognit., 2023)

Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated? - David Novoa-Paradela; Oscar Fontenla-Romero; Bertha Guijarro-Berdiñas (Eng. Appl. Artif. Intell., 2024)