Publicaciones en las que colabora con IGNACIO ÁLVAREZ ILLÁN (90)

2023

  1. Connected system for monitoring electrical power transformers using thermal imaging

    Integrated Computer-Aided Engineering, Vol. 30, Núm. 4, pp. 353-368

2022

  1. Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging

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

2021

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

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

2020

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

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

  2. Estimating the Severity of Alzheimer's Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data

    2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020

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

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

2019

  1. Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis

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

  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)

  3. Support Vector Machine Failure in Imbalanced Datasets

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

2018

  1. 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 heavy tailed expectation maximization hidden markov random field model with applications to segmentation of MRI

    Frontiers in Neuroinformatics, Vol. 11

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

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

  4. 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)

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

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

  6. Case-based statistical learning applied to SPECT image classification

    Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  7. 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)

  8. Evaluating Alzheimer’s disease diagnosis using texture analysis

    Communications in Computer and Information Science

  9. Functional brain imaging synthesis based on image decomposition and kernel modeling: Application to neurodegenerative diseases

    Frontiers in Neuroinformatics, Vol. 11

  10. On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database

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