Universidad de Extremadura-ko ikertzaileekin lankidetzan egindako argitalpenak (13)

2025

  1. Cerebral ischemia detection using deep learning techniques

    Health Information Science and Systems, Vol. 13, Núm. 1

  2. Distributed Parallel Hyperspectral Unmixing for Large-Scale Data in Spark Environments via Geometric Distance

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 63

2024

  1. Analysis and Detection of Melanoma through Collective Intelligence with AI

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, pp. 2461-2474

  3. Decentralized Mechanism for Edge Node Allocation in Access Network: An Experimental Evaluation

    Future Internet, Vol. 16, Núm. 9

  4. Hash-Based Remote Sensing Image Retrieval

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62

  5. Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 62, pp. 1-14

2023

  1. Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification

    IEEE Geoscience and Remote Sensing Letters, Vol. 20

  2. Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection

    Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

  3. Detection of cerebral ischaemia using transfer learning techniques

    2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS

  4. Detection of cerebral ischaemia using transfer learning techniques

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2021

  1. A recommendation system for electronic health records in the context of the HOPE project

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification

    IEEE Access, Vol. 9, pp. 118419-118434