Publicaciones en colaboración con investigadores/as de Universidad de Málaga (55)

2023

  1. Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

    Pharmacological Research, Vol. 197

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

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

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

    Information Fusion, Vol. 100

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

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

  5. 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. Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

    Knowledge-Based Systems, Vol. 240

  3. 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)

  4. 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)

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

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

  6. 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. 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)

  5. Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

    International Journal of Neural Systems, Vol. 30, Núm. 7