Publications by the researcher in collaboration with Beatriz Pérez Sánchez (32)

2024

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

    Proceedings of the ACM Symposium on Applied Computing

  2. Preface

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

2023

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

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

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)

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

  3. LANN-DSVD: A privacy-preserving distributed algorithm for machine learning

    ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  4. LANN-SVD: A non-iterative SVD-Based learning algorithm for one-layer neural networks

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, Núm. 8, pp. 3900-3905

2016

  1. A fast learning algorithm for high dimensional problems: An application to microarrays

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  2. Distributed learning algorithm for feedforward neural networks

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

2015

  1. Adaptive neural topology based on vapnik-chervonenkis dimension

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

2014

  1. Adaptive inverse control using an online learning algorithm for neural networks

    Informatica (Netherlands), Vol. 25, Núm. 3, pp. 401-414

  2. Self-adaptive topology neural network for online incremental learning

    ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence

2013

  1. A comparative study of the scalability of a sensitivity-based learning algorithm for artificial neural networks

    Expert Systems with Applications, Vol. 40, Núm. 10, pp. 3900-3905

  2. An online learning algorithm for adaptable topologies of neural networks

    Expert Systems with Applications, Vol. 40, Núm. 18, pp. 7294-7304

  3. Online machine learning

    Efficiency and Scalability Methods for Computational Intellect (IGI Global), pp. 27-54

2011

  1. A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms

    ESANN 2011 - 19th European Symposium on Artificial Neural Networks

  2. Dealing with "very large" datasets: An overview of a promising research line: Distributed learning

    ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence