Publicaciones en colaboración con investigadores/as de University College London (21)

2024

  1. Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients

    Digital Health, Vol. 10

2023

  1. Predicting pharmaceutical inkjet printing outcomes using machine learning

    International Journal of Pharmaceutics: X, Vol. 5

2022

  1. Accelerating 3D printing of pharmaceutical products using machine learning

    International Journal of Pharmaceutics: X, Vol. 4

2021

  1. Machine learning predicts 3D printing performance of over 900 drug delivery systems

    Journal of Controlled Release, Vol. 337, pp. 530-545

2020

  1. Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

    ACM Transactions on Intelligent Systems and Technology, Vol. 11, Núm. 6

  2. M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines

    International Journal of Pharmaceutics, Vol. 590

  3. ModelTest-NG: A New and Scalable Tool for the Selection of DNA and Protein Evolutionary Models

    Molecular Biology and Evolution, Vol. 37, Núm. 1, pp. 291-294

2019

  1. EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences

    Systematic Biology, Vol. 68, Núm. 2, pp. 365-369

  2. Gaia Data Release 2: Variable stars in the colour-absolute magnitude diagram

    Astronomy and Astrophysics, Vol. 623

2018

  1. Gaia Data Release 2: Kinematics of globular clusters and dwarf galaxies around the Milky Way

    Astronomy and Astrophysics, Vol. 616

  2. Gaia Data Release 2: The celestial reference frame (Gaia -CRF2)

    Astronomy and Astrophysics, Vol. 616

  3. Mapping the milky way disc kinematics

    Astronomy and Astrophysics, Vol. 616

  4. Observational hertzsprung-russell diagrams

    Astronomy and Astrophysics, Vol. 616

  5. Observations of solar system objects

    Astronomy and Astrophysics, Vol. 616

  6. Sleep staging with deep learning: A convolutional model

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

  7. Summary of the contents and survey properties

    Astronomy and Astrophysics, Vol. 616

2017

  1. Algorithmic challenges in big data analytics

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

  2. Multi-messenger observations of a binary neutron star merger

    Astrophysical Journal Letters, Vol. 848, Núm. 2

  3. Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing

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

2016

  1. Data discretization: Taxonomy and big data challenge

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 6, Núm. 1, pp. 5-21