Publicacións nas que colabora con MARIA ZULIMA FERNANDEZ MUÑIZ (19)

2024

  1. Measuring Dental Chamber Volume with DICOM Images from Cone-Beam Computed Tomography Can Be Improved with a Simple Algorithm

    Applied Sciences (Switzerland), Vol. 14, Núm. 13

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

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. 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

  2. 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

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. 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)

  3. Particle swarm optimization and uncertainty assessment in inverse problems

    Entropy, Vol. 20, Núm. 2

  4. Principal component analysis in protein tertiary structure prediction

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

  5. Protein tertiary structure prediction via SVD and PSO sampling

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

  6. Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher’s Ratio Sampler

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

  7. Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

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

2017

  1. Linear inversion via the discrete wavelet transform pseudoinverse

    Geophysical Prospecting, Vol. 65, pp. 131-149