Sergio Moreno-Álvarez

According to our database, Sergio Moreno-Álvarez authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 2024

Hashing for Retrieving Long-Tailed Distributed Remote Sensing Images.

Lirong Han, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Juan Mario Haut, Rafael Pastor, Antonio Plaza

IEEE Trans. Geosci. 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

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

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

Correlation-Aware Averaging for Federated Learning in Remote Sensing Data Classification.

Sergio Moreno-Álvarez, Lirong Han, Mercedes Eugenia Paoletti, Juan Mario Haut

Proceedings of the IGARSS 2024, 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

Proceedings of the IGARSS 2024, 2024

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

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

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

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

Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Yu Xue, Juan Mario Haut, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 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

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

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

Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification.

Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, Juan Mario Haut

IEEE Trans. Geosci. Remote. Sens., 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

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Deep mixed precision for hyperspectral image classification.

Mercedes Eugenia Paoletti, Xuanwen Tao, Juan Mario Haut, Sergio Moreno-Álvarez, Antonio Plaza

J. Supercomput., 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

Heterogeneous model parallelism for deep neural networks.

Sergio Moreno-Álvarez, Juan Mario Haut, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego

Neurocomputing, 2021

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

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

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

2019

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