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ORCIDSergio Moreno-Álvarez
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- affiliation: University of Extremadura, Cáceres, Spain
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Journal Articles
- 2024
[j19]Sergio Moreno-Álvarez
, Mercedes Eugenia Paoletti, A. J. Sanchez-Fernandez, Juan A. Rico-Gallego, Lirong Han, Juan Mario Haut:
Federated learning meets remote sensing. Expert Syst. Appl. 255: 124583 (2024)- [j18]Juan Mario Haut, Jose Miguel Franco-Valiente, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Alfonso Pardo Diaz:
Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines. SN Comput. Sci. 5(6): 719 (2024) - [j17]Juan Mario Haut, Sergio Moreno-Álvarez, Rafael Pastor Vargas, Ámbar Pérez-García, Mercedes Eugenia Paoletti:
Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 2461-2474 (2024) - [j16]A. J. Sanchez-Fernandez, Sergio Moreno-Álvarez, Juan-Antonio Rico-Gallego, Siham Tabik:
Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12797-12810 (2024) - [j15]Lirong Han, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Juan Mario Haut, Rafael Pastor, Antonio Plaza:
Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j14]Juan Mario Haut, Sergio Moreno-Álvarez, Enrique Moreno-Ávila, Victor Andres Ayma, Rafael Pastor Vargas, Mercedes Eugenia Paoletti:
Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j13]Mercedes Eugenia Paoletti, Oscar Mogollon-Gutierrez, Sergio Moreno-Álvarez, José Carlos Sancho Núñez, Juan Mario Haut:
A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5297-5314 (2023) - [j12]Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Yu Xue, Juan Mario Haut, Antonio Plaza:
AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j11]Mercedes Eugenia Paoletti, Xuanwen Tao, Lirong Han, Zhaoyue Wu, Sergio Moreno-Álvarez, Swalpa Kumar Roy, Antonio Plaza, Juan Mario Haut:
Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - 2022
- [j10]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Gabriele Cavallaro, Juan A. Rico-Gallego, Juan Mario Haut:
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j9]Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Juan Mario Haut:
Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j8]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Juan Mario Haut:
Heterogeneous gradient computing optimization for scalable deep neural networks. J. Supercomput. 78(11): 13455-13469 (2022) - 2021
- [j7]Sergio Moreno-Álvarez, Juan Mario Haut, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego:
Heterogeneous model parallelism for deep neural networks. Neurocomputing 441: 1-12 (2021) - [j6]Juan Mario Haut, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Javier Plaza, Juan-Antonio Rico-Gallego, Antonio Plaza:
Distributed Deep Learning for Remote Sensing Data Interpretation. Proc. IEEE 109(8): 1320-1349 (2021) - [j5]Mercedes Eugenia Paoletti, Xuanwen Tao, Juan Mario Haut, Sergio Moreno-Álvarez, Antonio Plaza:
Deep mixed precision for hyperspectral image classification. J. Supercomput. 77(8): 9190-9201 (2021) - 2020
- [j4]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Sergio Moreno-Álvarez, Carmen Calvo-Jurado, Juan-Luis García Zapata:
Performance evaluation of model-driven partitioning algorithms for data-parallel kernels on heterogeneous platforms. Comput. Math. Methods 2(1) (2020) - [j3]Juan A. Rico-Gallego, Sergio Moreno-Álvarez, Juan Carlos Díaz Martín, Alexey L. Lastovetsky:
A tool to assess the communication cost of parallel kernels on heterogeneous platforms. J. Supercomput. 76(6): 4629-4644 (2020) - [j2]Sergio Moreno-Álvarez, Juan Mario Haut, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Javier Plaza:
Training deep neural networks: a static load balancing approach. J. Supercomput. 76(12): 9739-9754 (2020) - 2019
- [j1]Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Carmen Calvo-Jurado, Sergio Moreno-Álvarez, Juan-Luis García Zapata:
Analytical Communication Performance Models as a metric in the partitioning of data-parallel kernels on heterogeneous platforms. J. Supercomput. 75(3): 1654-1669 (2019)
Conference and Workshop Papers
- 2024
- [c5]Álvaro Rodrigo, Sergio Moreno-Álvarez, Anselmo Peñas:
UNED team at BEA 2024 Shared Task: Testing different Input Formats for predicting Item Difficulty and Response Time in Medical Exams. BEA 2024: 567-570 - [c4]Lirong Han, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Juan Mario Haut, Antonio J. Plaza:
Deep Robust Hashing Using Self-Distillation for Remote Sensing Image Retrieval. IGARSS 2024: 7111-7114 - [c3]Sergio Moreno-Álvarez, Lirong Han, Mercedes Eugenia Paoletti, Juan Mario Haut:
Correlation-Aware Averaging for Federated Learning in Remote Sensing Data Classification. IGARSS 2024: 8708-8711 - 2022
- [c2]Mercedes Eugenia Paoletti, Xuanwen Tao, Lirong Han, Zhaoyue Wu, Sergio Moreno-Álvarez, Juan Mario Haut:
Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product. IGARSS 2022: 1380-1383 - [c1]Sergio Moreno-Álvarez, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Gabriele Cavallaro, Juan Mario Haut:
Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. IGARSS 2022: 2726-2729
Coauthor Index
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