Publications dans lesquelles il/elle collabore avec Andres Ortiz García (57)

2024

  1. A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia

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

  2. Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration

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

  3. Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis

    Interdisciplinary Sciences - Computational Life Sciences, Vol. 16, Núm. 4, pp. 1005-1018

2023

  1. Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

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

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

    Information Fusion, Vol. 100

  3. Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

    IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441

2022

  1. Capacity Estimation from Environmental Audio Signals Using Deep Learning

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

  2. Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

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

  3. Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

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

  4. Uncertainty-driven ensembles of multi-scale deep architectures for image classification

    Information Fusion, Vol. 89, pp. 53-65

  5. Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis

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

2021

  1. Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

    Neurocomputing, Vol. 452, pp. 424-434

  2. Detecting phase-synchrony connectivity anomalies in eeg signals. Application to dyslexia diagnosis

    Sensors, Vol. 21, Núm. 21

  3. Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

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

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

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

  5. Temporal EigenPAC for Dyslexia Diagnosis

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

2020

  1. A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia

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

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

    Neurocomputing, Vol. 410, pp. 237-270

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

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

  4. Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks

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