Publicaciones en colaboración con investigadores/as de Universidad de Extremadura (19)

2024

  1. 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

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

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

2023

  1. A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 16, pp. 5297-5314

  2. AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 61

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

    IEEE Geoscience and Remote Sensing Letters, Vol. 20

  4. Enhancing Distributed Neural Network Training Through Node-Based Communications

    IEEE Transactions on Neural Networks and Learning Systems

  5. Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 61

2022

  1. Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product

    International Geoscience and Remote Sensing Symposium (IGARSS)

  2. Heterogeneous gradient computing optimization for scalable deep neural networks

    Journal of Supercomputing, Vol. 78, Núm. 11, pp. 13455-13469

  3. Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

  4. Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification

    International Geoscience and Remote Sensing Symposium (IGARSS)

  5. Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing

    IEEE Geoscience and Remote Sensing Letters, Vol. 19

2021

  1. Deep mixed precision for hyperspectral image classification

    Journal of Supercomputing, Vol. 77, Núm. 8, pp. 9190-9201

  2. Heterogeneous model parallelism for deep neural networks

    Neurocomputing, Vol. 441, pp. 1-12

2020

  1. A tool to assess the communication cost of parallel kernels on heterogeneous platforms

    Journal of Supercomputing, Vol. 76, Núm. 6, pp. 4629-4644

  2. Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms

    Computational and Mathematical Methods

  3. Training deep neural networks: a static load balancing approach

    Journal of Supercomputing, Vol. 76, Núm. 12, pp. 9739-9754

2019

  1. Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms

    Journal of Supercomputing, Vol. 75, Núm. 3, pp. 1654-1669

2009

  1. Increasing GP computing power for free via desktop GRID computing and virtualization

    Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009