Publications (39) Publications in which a researcher has participated

filter_list Statistics and Probability

2024

  1. A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease

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

  2. Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI

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

  3. Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders

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

2023

  1. A non-parametric statistical inference framework for Deep Learning in current neuroimaging

    Information Fusion, Vol. 91, pp. 598-611

  2. Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

    Cognitive Neurodynamics, Vol. 17, Núm. 6, pp. 1501-1523

  3. Deep learning in food category recognition

    Information Fusion, Vol. 98

  4. Statistical significance maps based on machine learning. On the use of data-dependent upper bounds

    Proceedings - 2023 8th International Conference on Information and Network Technologies, ICINT 2023

  5. Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

    International Journal of Neural Systems, Vol. 33, Núm. 4

2022

  1. A Connection between Pattern Classification by Machine Learning and Statistical Inference with the General Linear Model

    IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 11, pp. 5332-5343

  2. Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test

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

  3. ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection

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

  4. DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification

    Frontiers in Systems Neuroscience, Vol. 16

  5. Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

    Biomedical Signal Processing and Control, Vol. 73

  6. MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data

    Computer Methods and Programs in Biomedicine, Vol. 214

2021

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

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

  2. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

    Results in Physics, Vol. 27

2020

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

    Neurocomputing, Vol. 413, pp. 210-216

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

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

  3. Optimized one vs one approach in multiclass classification for early alzheimer's disease and mild cognitive impairment diagnosis

    IEEE Access, Vol. 8, pp. 96981-96993

  4. Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 1, pp. 17-26