Universidade de Lisboa-ko ikertzaileekin lankidetzan egindako argitalpenak (8)

2022

  1. Gamma/hadron discrimination using a small-WCD with four PMTs

    Proceedings of Science

  2. Tackling the muon identification in water Cherenkov detectors problem for the future Southern Wide-field Gamma-ray Observatory by means of machine learning

    Neural Computing and Applications, Vol. 34, Núm. 7, pp. 5715-5728

  3. The Mercedes water Cherenkov detector

    European Physical Journal C, Vol. 82, Núm. 10

2021

  1. Muon identification in a compact single-layered water Cherenkov detector and gamma/hadron discrimination using machine learning techniques

    European Physical Journal C, Vol. 81, Núm. 6

2014

  1. Stacked Sequential Learning and Time Series Prediction Approaches for Sleep Stage Classification from Polysomnography Data

    INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014)

2013

  1. Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification

    International Journal of Neural Systems, Vol. 23, Núm. 3

  2. Sleep stage classification using advanced intelligent methods

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

2011

  1. Symbolic representation of the EEG for sleep stage classification

    International Conference on Intelligent Systems Design and Applications, ISDA