Publicaciones en las que colabora con Andres Ortiz García (20)

2023

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

    Information Fusion, Vol. 100

2021

  1. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

2020

  1. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

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

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

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

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

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. Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

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

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

  4. Procesamiento, análisis y clasificación de neuroimagen con arquitecturas Deep Learning híbridas

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

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 applied to SPECT image classification

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  6. 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)

  7. Evaluating Alzheimer’s disease diagnosis using texture analysis

    Communications in Computer and Information Science

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

    Communications in Computer and Information Science

2016

  1. PETRA: A web-based system supporting computer aided diagnosis of Alzheimer's disease

    2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016