Publicaciones (47) Publicaciones de Beatriz Pérez Sánchez

2023

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

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

2022

  1. Mujeres en Ciencias de la Computación: presencial desigual y tipos de enseñanza

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 7, pp. 287-294

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. Efecto de la evaluación docente por COVID-19. Influencia en los resultados académicos en titulaciones y materias con diferente número de alumnos

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 131-138

  3. Federated Learning approach for Spectral Clustering

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

  4. Mujeres en estudios científico-tecnológicos en la Universidade da Coruña: evolución de estudiantes y personal docente e investigador

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 6, pp. 195-201

  5. 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. Feature selection for label ranking

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

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

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

  5. 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. Learning Data Structures-Same Difficulties in Different Countries?

    Revista Iberoamericana de Tecnologias del Aprendizaje, Vol. 11, Núm. 4, pp. 242-247

  4. 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