Publicaciones en colaboración con investigadores/as de Universidad de Málaga (109)

2024

  1. Analytical Framework to Model Reconfigurable Metasurfaces Including Lumped Elements

    IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 71, Núm. 4, pp. 1784-1788

  2. Broadband parasitic modeling of diodes in the millimeter-wave band

    AEU - International Journal of Electronics and Communications, Vol. 177

  3. Three-Dimensional Fully Metallic Dual-Polarization Frequency-Selective Surface Design Using Coupled-Resonator Circuit Information

    IEEE Transactions on Antennas and Propagation, Vol. 72, Núm. 3, pp. 2932-2937

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

    Information Fusion, Vol. 100

  3. Enabling Intelligent Omni-Surfaces in the Polarization Domain: Principles, Implementation and Applications

    IEEE Communications Magazine, Vol. 61, Núm. 11, pp. 144-150

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

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

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

    Applied Soft Computing, Vol. 134

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

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

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

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

  8. 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. Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease

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

  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. CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources

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

  4. Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson's Disease

    2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference

  5. Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease

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

  6. 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)

  7. Tiled Sparse Coding in Eigenspaces for Image Classification

    International Journal of Neural Systems, Vol. 32, Núm. 3

  8. 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)

  9. UNITE: Integrated IoT-Edge-Cloud Continuum

    2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022