Publicaciones en colaboración con investigadores/as de Universidad de Málaga (33)

2023

  1. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

  2. Nonlinear Weighting Ensemble Learning Model to Diagnose Parkinson's Disease Using Multimodal Data

    International Journal of Neural Systems, Vol. 33, Núm. 8

2022

  1. Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease

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

2020

  1. Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

    Information Fusion, Vol. 58, pp. 153-167

  2. Expectation–Maximization algorithm for finite mixture of α-stable distributions

    Neurocomputing, Vol. 413, pp. 210-216

  3. Granger causality-based information fusion applied to electrical measurements from power transformers

    Information Fusion, Vol. 57, pp. 59-70

  4. Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease

    International Journal of Neural Systems, Vol. 30, Núm. 9

2019

  1. Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study

    Advances in Intelligent Systems and Computing

  2. Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis

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

  3. Parkinson's disease detection using isosurfaces-based features and convolutional neural networks

    Frontiers in Neuroinformatics, Vol. 13

2018

  1. A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer's Disease

    2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

  2. Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging

    Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 713-729

  3. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares

    Journal of Neuroscience Methods, Vol. 302, pp. 47-57

2017

  1. A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease

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

  2. A semi-supervised learning approach for model selection based on class-hypothesis testing

    Expert Systems with Applications, Vol. 90, pp. 40-49

  3. Automatic separation of parkinsonian patients and control subjects based on the striatal morphology

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

  4. Case-Based Statistical Learning: A Non-Parametric Implementation with a Conditional-Error Rate SVM

    IEEE Access, Vol. 5, pp. 11468-11478

  5. Case-based statistical learning: A non parametric implementation applied to SPECT images

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

  6. Evaluating Alzheimer’s disease diagnosis using texture analysis

    Communications in Computer and Information Science

  7. Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes

    Communications in Computer and Information Science