Publicaciones en colaboración con investigadores/as de Liverpool John Moores University (52)

2024

  1. Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses

    Network Neuroscience, Vol. 8, Núm. 1, pp. 275-292

2022

  1. C-low threshold mechanoafferent targeted dynamic touch modulates stress resilience in rats exposed to chronic mild stress

    European Journal of Neuroscience, Vol. 55, Núm. 9-10, pp. 2925-2938

2021

  1. Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering

    Neural Computing and Applications, Vol. 33, Núm. 13, pp. 7521-7539

2020

  1. Probabilistic quantum clustering

    Knowledge-Based Systems, Vol. 194

  2. Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

    PloS one, Vol. 15, Núm. 7, pp. e0235057

2019

  1. Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric

    Proceedings of the International Joint Conference on Neural Networks

2017

  1. Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters

    Neurocomputing, Vol. 268, pp. 127-141

2016

  1. A spatial algorithm to reduce phase wraps from two dimensional signals in fringe projection profilometry

    Optics and Lasers in Engineering, Vol. 82, pp. 70-78

  2. Fast fringe pattern phase demodulation using FIR Hilbert transformers

    Optics Communications, Vol. 359, pp. 200-206

  3. Performance assessment of quantum clustering in non-spherical data distributions

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  4. Physics and machine learning: Emerging paradigms

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  5. Shifting of wrapped phase maps in the frequency domain using a rational number

    Measurement Science and Technology, Vol. 27, Núm. 10

2015

  1. Making nonlinear manifold learning models interpretable: The manifold grand tour

    Expert Systems with Applications, Vol. 42, Núm. 22, pp. 8982-8988

2014

  1. Feeling bad and looking worse: Negative affect is associated with reduced perceptions of face-healthiness

    PLoS ONE, Vol. 9, Núm. 9

2013

  1. Preface to data mining in biomedical informatics and healthcare

    Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013

2012

  1. Making machine learning models interpretable

    ESANN 2012 proceedings, 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

2011

  1. Clustering categorical data: A stability analysis framework

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining

2010

  1. Clustering-based robust three-dimensional phase unwrapping algorithm

    Applied Optics, Vol. 49, Núm. 10, pp. 1780-1788

  2. Data mining in cancer research: Application nNotes

    IEEE Computational Intelligence Magazine, Vol. 5, Núm. 1, pp. 14-18

2009

  1. Grocery shopping recommendations based on basket-sensitive random walk

    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining