Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Carmen Calvo-Jurado; Sergio Moreno-Álvarez; Juan-Luis García Zapata (J. Supercomput., 2019)

Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Sergio Moreno-Álvarez; Carmen Calvo-Jurado; Juan-Luis García Zapata (Comput. Math. Methods, 2020)

Training deep neural networks: a static load balancing approach. - Sergio Moreno-Álvarez; Juan Mario Haut; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Juan Carlos Díaz Martín; Javier Plaza (J. Supercomput., 2020)

A tool to assess the communication cost of parallel kernels on heterogeneous platforms. - Juan A. Rico-Gallego; Sergio Moreno-Álvarez; Juan Carlos Díaz Martín; Alexey L. Lastovetsky (J. Supercomput., 2020)

Heterogeneous model parallelism for deep neural networks. - Sergio Moreno-Álvarez; Juan Mario Haut; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego (Neurocomputing, 2021)

Distributed Deep Learning for Remote Sensing Data Interpretation. - Juan Mario Haut; Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Javier Plaza; Juan-Antonio Rico-Gallego; Antonio Plaza (Proc. IEEE, 2021)

Deep mixed precision for hyperspectral image classification. - Mercedes Eugenia Paoletti; Xuanwen Tao; Juan Mario Haut; Sergio Moreno-Álvarez; Antonio Plaza (J. Supercomput., 2021)

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Gabriele Cavallaro; Juan Mario Haut (IGARSS, 2022)

Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product. - Mercedes Eugenia Paoletti; Xuanwen Tao; Lirong Han; Zhaoyue Wu; Sergio Moreno-Álvarez; Juan Mario Haut (IGARSS, 2022)

Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Juan A. Rico-Gallego; Juan Mario Haut (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification. - Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Juan Mario Haut (IEEE Trans. Geosci. Remote. Sens., 2022)

Heterogeneous gradient computing optimization for scalable deep neural networks. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Juan Mario Haut (J. Supercomput., 2022)

Optimización de aplicaciones científicas y de aprendizaje automático en entornos de altas prestaciones heterogéneos. - Sergio Moreno-Álvarez (2022)

Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification. - Juan Mario Haut; Sergio Moreno-Álvarez; Enrique Moreno-Ávila; Victor Andres Ayma; Rafael Pastor Vargas; Mercedes Eugenia Paoletti (IEEE Geosci. Remote. Sens. Lett., 2023)

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification. - Mercedes Eugenia Paoletti; Oscar Mogollon-Gutierrez; Sergio Moreno-Álvarez; José Carlos Sancho Núñez; Juan Mario Haut (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification. - Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Yu Xue 003; Juan Mario Haut; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2023)

Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification. - Mercedes Eugenia Paoletti; Xuanwen Tao; Lirong Han; Zhaoyue Wu; Sergio Moreno-Álvarez; Swalpa Kumar Roy; Antonio Plaza; Juan Mario Haut (IEEE Trans. Geosci. Remote. Sens., 2023)

UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams. - Álvaro Rodrigo; Sergio Moreno-Álvarez; Anselmo Peñas (BEA, 2024)

Deep Robust Hashing Using Self-Distillation for Remote Sensing Image Retrieval. - Lirong Han; Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Juan Mario Haut; Antonio J. Plaza (IGARSS, 2024)

Correlation-Aware Averaging for Federated Learning in Remote Sensing Data Classification. - Sergio Moreno-Álvarez; Lirong Han; Mercedes Eugenia Paoletti; Juan Mario Haut (IGARSS, 2024)

Federated learning meets remote sensing. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; A. J. Sanchez-Fernandez; Juan A. Rico-Gallego; Lirong Han; Juan Mario Haut (Expert Syst. Appl., 2024)

Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection. - Juan Mario Haut; Sergio Moreno-Álvarez; Rafael Pastor Vargas; Ámbar Pérez-García; Mercedes Eugenia Paoletti (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. - A. J. Sanchez-Fernandez; Sergio Moreno-Álvarez; Juan-Antonio Rico-Gallego; Siham Tabik (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images. - Lirong Han; Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Juan Mario Haut; Rafael Pastor 001; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2024)

Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines. - Juan Mario Haut; Jose Miguel Franco-Valiente; Mercedes Eugenia Paoletti; Sergio Moreno-Álvarez; Alfonso Pardo Diaz (SN Comput. Sci., 2024)

Enhancing Distributed Neural Network Training Through Node-Based Communications. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Juan Mario Haut (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening. - Hailiang Lu; Mercedes Eugenia Paoletti; Juan Mario Haut; Sergio Moreno-Álvarez; Guangsheng Chen; Weipeng Jing 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)