Publications by the researcher in collaboration with Óscar Fontenla Romero (112)

2024

  1. An effective and efficient green federated learning method for one-layer neural networks

    Proceedings of the ACM Symposium on Applied Computing

  2. Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

    Engineering Applications of Artificial Intelligence, Vol. 133

  3. Preface

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. RUL Prediction of Lithium-ion Batteries using a Federated and Homomorphically Encrypted Learning Method

    Proceedings of the ACM Symposium on Applied Computing

2023

  1. A Federated Learning Architecture for Anomaly Detection on the Edge Using Deep Autoencoders

    Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE

  2. A One-Class Classification method based on Expanded Non-Convex Hulls

    Information Fusion, Vol. 89, pp. 1-15

  3. Fast deep autoencoder for federated learning

    Pattern Recognition, Vol. 143

  4. FedHEONN: Federated and homomorphically encrypted learning method for one-layer neural networks

    Future Generation Computer Systems, Vol. 149, pp. 200-211

2022

  1. Introducción a la representación del conocimiento y el razonamiento en educación pre-universitaria mediante una actividad STEM

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 7, pp. 255-262

  2. Machine learning techniques to predict different levels of hospital care of CoVid-19

    Applied Intelligence, Vol. 52, Núm. 6, pp. 6413-6431

2021

  1. DSVD-autoencoder: A scalable distributed privacy-preserving method for one-class classification

    International Journal of Intelligent Systems, Vol. 36, Núm. 1, pp. 177-199

  2. Federated Learning approach for Spectral Clustering

    ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  3. Regularized One-Layer Neural Networks for Distributed and Incremental Environments

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. Experiencias para la mejora del proceso de aprendizaje y la motivación de los estudiantes basadas en proyectos

    Contextos universitarios tranformadores: boas prácticas no marco dos GID

  2. One-Class Convex Hull-Based Algorithm for Classification in Distributed Environments

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 50, Núm. 2, pp. 386-396

  3. Online learning for anomaly detection via subdivisible convex hulls

    Proceedings of the International Joint Conference on Neural Networks

2019

  1. A Machine Learning Solution for Distributed Environments and Edge Computing

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

  2. Classification of Microarray Data

    Methods in Molecular Biology (Humana Press Inc.), pp. 185-205

2018

  1. A review of adaptive online learning for artificial neural networks

    Artificial Intelligence Review, Vol. 49, Núm. 2, pp. 281-299

  2. An incremental non-iterative learning method for one-layer feedforward neural networks

    Applied Soft Computing Journal, Vol. 70, pp. 951-958