Publicacións 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

  2. Uso de inteligencia artificial para la predicción de resultados de impresión por inyección de tinta

    XVI Congreso SEFIG ( 16. 2023. Madrid): Libro de comunicaciones

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

2019

  1. 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. 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

2015

  1. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark

    Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015

2013

  1. 4th international workshop automating test case design, selection and evaluation

    2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013