Publicacións (37) Publicacións de Elena María Hernández Pereira

2024

  1. Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach

    Neural Computing and Applications, Vol. 36, Núm. 5, pp. 2597-2616

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

    Proceedings of the ACM Symposium on Applied Computing

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

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

  2. Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer

    Proceedings of the International Joint Conference on Neural Networks

  3. Human-in-the-loop machine learning: a state of the art

    Artificial Intelligence Review, Vol. 56, Núm. 4, pp. 3005-3054

  4. Understanding Machine Learning Explainability Models in the context of Pancreatic Cancer Treatment

    VI Congreso XoveTIC: impulsando el talento científico

2022

  1. A classification and review of tools for developing and interacting with machine learning systems

    Proceedings of the ACM Symposium on Applied Computing

  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. Federated Learning approach for Spectral Clustering

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

2018

  1. On The Automation of Medical Knowledge and Medical Decision Support Systems

    Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 187-217

  2. Sleep staging with deep learning: A convolutional model

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

  3. Una red convolucional para la clasificación de las fases de sueño

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings

    Computers in Biology and Medicine, Vol. 87, pp. 77-86

  2. Combining machine learning models for the automatic detection of EEG arousals

    Neurocomputing, Vol. 268, pp. 100-108

  3. Outlining a simple and robust method for the automatic detection of EEG arousals

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2016

  1. A comparison of performance of K-complex classification methods using feature selection

    Information Sciences, Vol. 328, pp. 1-14

  2. A comparison of performance of sleep spindle classification methods using wavelets

    Smart Innovation, Systems and Technologies

  3. Automatic detection of EEG Arousals

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks