Publications dans lesquelles il/elle collabore avec JUAN LUIS FERNANDEZ MARTINEZ (30)

2023

  1. Comparison of three mathematical models for COVID-19 prediction

    Biophysical journal, Vol. 122, Núm. 3S1

  2. Three Mathematical Models for COVID-19 Prediction

    Mathematics, Vol. 11, Núm. 3

2022

  1. Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space

    International Journal of Molecular Sciences, Vol. 23, Núm. 21

  2. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

    International Journal of Molecular Sciences, Vol. 23, Núm. 9

2021

  1. Predictive Mathematical Models of the Short-Term and Long-Term Growth of the COVID-19 Pandemic

    Computational and Mathematical Methods in Medicine, Vol. 2021

2020

  1. Deep neural networks for phenotype prediction in rare diseases

    Artificial Intelligence in Precision Health: From Concept to Applications (Elsevier), pp. 189-202

  2. How to Deal with Uncertainty in Inverse and Classification Problems

    ADVANCES IN MODELING AND INTERPRETATION IN NEAR SURFACE GEOPHYSICS (SPRINGER INTERNATIONAL PUBLISHING AG), pp. 401-414

  3. On the role of artificial intelligence in genomics to enhance precision medicine

    Pharmacogenomics and Personalized Medicine, Vol. 13, pp. 105-119

  4. Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer

    BMC Bioinformatics, Vol. 21

2019

  1. Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks

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

  2. Efficient uncertainty analysis of the 3D electrical tomography inverse problem

    Geophysics, Vol. 84, Núm. 3, pp. E209-E223

  3. MMP11 expression in intratumoral inflammatory cells in breast cancer

    Histopathology, Vol. 75, Núm. 6, pp. 916-930

  4. Predicting protein tertiary structure and its uncertainty analysis via particle swarm sampling

    Journal of Molecular Modeling, Vol. 25, Núm. 3

  5. Prognostic networks for unraveling the biological mechanisms of Sarcopenia

    Mechanisms of Ageing and Development, Vol. 182

  6. Robust sampling of defective pathways in multiple myeloma

    International Journal of Molecular Sciences, Vol. 20, Núm. 19

2018

  1. Comparison of Different Sampling Algorithms for Phenotype Prediction

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

  2. Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm

    Cancer Medicine, Vol. 7, Núm. 1, pp. 240-253

  3. On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction

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

  4. Particle swarm optimization and uncertainty assessment in inverse problems

    Entropy, Vol. 20, Núm. 2

  5. Principal component analysis in protein tertiary structure prediction

    Journal of Bioinformatics and Computational Biology, Vol. 16, Núm. 2