Publicaciones en las que colabora con Andres Ortiz García (80)

2024

  1. Identifying HRV patterns in ECG signals as early markers of dementia

    Expert Systems with Applications, Vol. 243

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. Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

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

  4. Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression

    Applied Soft Computing, Vol. 134

  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

  6. Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

    Journal of medical Internet research, Vol. 25, pp. e47346

  7. 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. 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)

  2. 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)

  3. Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks

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

  4. 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)

  5. 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)

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

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

  7. 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)