Publications (9) Francisco Martínez Álvarez publications

filter_list Electrical and Electronic Engineering

2023

  1. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

2022

  1. Explainable machine learning for sleep apnea prediction

    Procedia Computer Science

2021

  1. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    Advances in Intelligent Systems and Computing

  2. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

2018

  1. A novel spark-based multi-step forecasting algorithm for big data time series

    Information Sciences, Vol. 467, pp. 800-818

2017

  1. Recent advances in energy time series forecasting

    Energies

2013

  1. Combining pattern sequence similarity with neural networks for forecasting electricity demand time series

    Proceedings of the International Joint Conference on Neural Networks

2011

  1. Energy time series forecasting based on pattern sequence similarity

    IEEE Transactions on Knowledge and Data Engineering, Vol. 23, Núm. 8, pp. 1230-1243

2008

  1. LBF: A labeled-based forecasting algorithm and its application to electricity price time series

    Proceedings - IEEE International Conference on Data Mining, ICDM