Publicaciones en las que colabora con Óscar Fontenla Romero (37)

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)

2019

  1. 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

  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

  3. Two-class with oversampling versus one-class classification for microarray datasets

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

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)

  2. One-class classification for microarray datasets with feature selection

    Communications in Computer and Information Science

  3. Selecting target concept in one-class classification for handling class imbalance problem

    Proceedings of the International Joint Conference on Neural Networks

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