Publications (312)

¹ Publications considered as the group’s output.

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2026

  1. A comprehensive benchmark of spatial encoding methods for tabular data with deep neural networks

    Information Fusion, Vol. 130

  2. Comparison of different criteria for rheumatic heart disease screening: an empirical study in Sierra Leone

    BMC Cardiovascular Disorders, Vol. 26, Núm. 1

  3. Extracting structured data from unstructured breast imaging reports with transformer-based models

    Frontiers in Digital Health, Vol. 7

  4. Hybrid Neural Network-Based Indoor Localisation System for Mobile Robots Using CSI Data in a Robotics Simulator

    Communications in Computer and Information Science

  5. Identification of antibiotic resistance profiles in diabetic foot infections: A machine learning proof-of-concept analysis

    International Journal of Diabetes in Developing Countries, Vol. 46, Núm. 1, pp. 193-200

  6. Interpretable Hybrid Vision Transformer Architectures for MIMO-Based Indoor Localization using Synthetic Spatial Representations

    IEEE Internet of Things Journal

  7. PeruMedQA: Benchmarking Large Language Models (LLMs) on Peruvian Medical Exams—Dataset Construction and Evaluation

    Medical Science Educator

2025

  1. Assessment of captions’ quality by students of a MOOC on accessibility of digital materials

    Computers and Education Open, Vol. 9

  2. Frost forecasting through machine learning algorithms

    Earth Science Informatics, Vol. 18, Núm. 2

  3. MIMO-Based Indoor Localisation With Hybrid Neural Networks: Leveraging Synthetic Images From Tidy Data for Enhanced Deep Learning

    IEEE Journal on Selected Topics in Signal Processing, Vol. 19, Núm. 3, pp. 559-571

  4. On the Significance of Graph Neural Networks With Pretrained Transformers in Content-Based Recommender Systems for Academic Article Classification

    Expert Systems, Vol. 42, Núm. 7

  5. TINTOlib: A Python library for transforming tabular data into synthetic images for deep neural networks

    SoftwareX, Vol. 32

  6. TOWARDS DATA-DRIVEN METRO RAIL MAINTENANCE FOLLOWING THE MLOPS PARADIGM

    Proceedings of the European Conference on Computing in Construction

  7. Why Do Radiologists Disown Breast Thermography? A Critical Review of Recent Studies and Recommendations

    Cancers, Vol. 17, Núm. 13

2024

  1. A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes – An exploratory analysis

    Primary Care Diabetes, Vol. 18, Núm. 3, pp. 327-332

  2. BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications

    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 43, Núm. 1, pp. 171-175

  3. Breast thermography: a systematic review and meta-analysis

    Systematic Reviews, Vol. 13, Núm. 1

  4. CONSTRUCTION DATA SPACE FOR BUILDING PERMIT MANAGEMENT

    Proceedings of the European Conference on Computing in Construction

  5. Close visual binaries among planetary-mass objects in star-forming regions: the HST view

    EAS2024, European Astronomical Society Annual Meeting

  6. Cost-Effective Advanced Remote Diagnostics of Sucker Rod Pumping Wells From Dynamometric Charts: A Deep Learning Approach

    Sustainability Applied to Unconventional Oil and Gas Field Exploration and Development (IGI Global), pp. 188-219