Mercedes Eugenia Paoletti

发表

Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification

Antonio J. Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2018, Remote. Sens..

Evaluation of Different Regularization Methods for the Extreme Learning Machine Applied to Hyperspectral Images

Antonio J. Plaza, Yi Liu, Xiong Xu, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification

Antonio J. Plaza, Qingshan Liu, Javier Plaza, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification

Antonio J. Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2020, Remote. Sens..

Onboard payload-data dimensionality reduction

Antonio J. Plaza, Fabio Del Frate, Javier Plaza, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines

Antonio J. Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2018, Journal of Real-Time Image Processing.

Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis

Antonio J. Plaza, Filiberto Pla, Javier Plaza, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

An Investigation on Self-Normalized Deep Neural Networks for Hyperspectral Image Classification

Antonio J. Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Inter-Sensor Regression Analysis for Operational Sentinel-2 and Sentinel-3 Data Products

Antonio J. Plaza, Filiberto Pla, Javier Plaza, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Endmember Estimation with Maximum Distance Analysis

Antonio J. Plaza, Peng Ren, Javier Plaza, 2021, Remote. Sens..

Heterogeneous model parallelism for deep neural networks

Mercedes Eugenia Paoletti, Juan Mario Haut, Juan A. Rico-Gallego, 2021, Neurocomputing.

A Recommendation System for Electronic Health Records in the Context of the HOPE Project

Antonio Robles-Gómez, Llanos Tobarra, Mercedes Eugenia Paoletti, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

Adaptable Convolutional Network for Hyperspectral Image Classification

Mercedes Eugenia Paoletti, Juan Mario Haut, J. M. Haut, 2021, Remote. Sens..

Yinyang K-means clustering for hyperspectral image analysis

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2018 .

Remote Sensing Image Fusion Using Hierarchical Multi-modal Probabilistic Latent Semantic Analysis

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2018 .

Estudio Comparativo de Técnicas de Clasificación de Imágenes Hiperespectrales

Mercedes Eugenia Paoletti, J. Haut, J. Plaza, 2019, Revista Iberoamericana de Automática e Informática industrial.

Cloud implementation of logistic regression for hyperspectral image classification

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2018 .

Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview

Mercedes Eugenia Paoletti, Javier Resano, Antonio Plaza, 2020, Remote. Sens..

FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification

Javier Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Cloud i m ple m entation of the Km eans algorith m for hyperspectral i m age analysis

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2017 .

Machine Learning in Pansharpening: A benchmark, from shallow to deep networks

Mercedes Eugenia Paoletti, J. Chanussot, G. Scarpa, 2022, IEEE Geoscience and Remote Sensing Magazine.

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

Mercedes Eugenia Paoletti, J. M. Haut, X. Tao, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

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

Mercedes Eugenia Paoletti, J. M. Haut, S. K. Roy, 2021, IEEE Access.

Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification

Mercedes Eugenia Paoletti, J. M. Haut, S. Moreno-Álvarez, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats

Mercedes Eugenia Paoletti, J. M. Haut, A. Cuartero, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis

Mercedes Eugenia Paoletti, J. M. Haut, A. Cuartero, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Training deep neural networks: a static load balancing approach

Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, Juan C. Díaz-Martín, 2020, The Journal of Supercomputing.

Scalable recurrent neural network for hyperspectral image classification

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2020, The Journal of Supercomputing.

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

Mercedes Eugenia Paoletti, J. M. Haut, Gabriele Cavallaro, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Heterogeneous gradient computing optimization for scalable deep neural networks

Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, J. M. Haut, 2022, The Journal of Supercomputing.

Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas

Mercedes Eugenia Paoletti, J. Plaza, S. Álvarez, 2019 .

Deep learning classifiers for hyperspectral imaging: A review

Mercedes Eugenia Paoletti, A. Plaza, J. M. Haut, 2019 .

Capsule Networks for Hyperspectral Image Classification

Filiberto Pla, Jun Li, Antonio Plaza, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Rotation Equivariant Convolutional Neural Networks for Hyperspectral Image Classification

Eligius M. T. Hendrix, Mercedes Eugenia Paoletti, Swalpa Kumar Roy, 2020, IEEE Access.

Accessibility-Free Active Learning for Hyperspectral Image Classification

Jun Li, Antonio Plaza, Mercedes Eugenia Paoletti, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Visual Attention-Driven Hyperspectral Image Classification

Mercedes Eugenia Paoletti, Jun Li, Antonio Plaza, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Remote Sensing Image Superresolution Using Deep Residual Channel Attention

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2019, IEEE Transactions on Geoscience and Remote Sensing.

A new deep convolutional neural network for fast hyperspectral image classification

Antonio Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2017, ISPRS Journal of Photogrammetry and Remote Sensing.

A Single Model CNN for Hyperspectral Image Denoising

Javier Plaza, Mercedes Eugenia Paoletti, Antonio Plaza, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification

Antonio J. Plaza, Filiberto Pla, Javier Plaza, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Analysis of Remotely Sensed Images Through Social Media

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Scalable recurrent neural network for hyperspectral image classification

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2020, The Journal of Supercomputing.

Hyperspectral Image Classification Using Random Occlusion Data Augmentation

Jun Li, Antonio Plaza, Javier Plaza, 2019, IEEE Geoscience and Remote Sensing Letters.

Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach

Jun Li, Antonio Plaza, Javier Plaza, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification

Shutao Li, Nanjun He, Leyuan Fang, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Deep mixed precision for hyperspectral image classification

Antonio Plaza, Mercedes Eugenia Paoletti, Sergio Moreno-Álvarez, 2021, The Journal of Supercomputing.

Morphological Convolutional Neural Networks for Hyperspectral Image Classification

Antonio Plaza, Mercedes Eugenia Paoletti, Swalpa Kumar Roy, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

Mercedes Eugenia Paoletti, J. M. Haut, J. Plaza, 2022, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification

Mercedes Eugenia Paoletti, S. Dubey, S. K. Roy, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Ghostnet for Hyperspectral Image Classification

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Neural Ordinary Differential Equations for Hyperspectral Image Classification

Javier Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2020, IEEE Transactions on Geoscience and Remote Sensing.

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

Mercedes Eugenia Paoletti, J. M. Haut, Yu Xue, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation

Mercedes Eugenia Paoletti, J. M. Haut, J. Plaza, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral Anomaly Detection With Relaxed Collaborative Representation

Mercedes Eugenia Paoletti, J. M. Haut, J. Plaza, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model

Jun Li, Mercedes Eugenia Paoletti, J. M. Haut, 2019, IEEE Geoscience and Remote Sensing Letters.

Cloud Deep Networks for Hyperspectral Image Analysis

Antonio Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Distributed Deep Learning for Remote Sensing Data Interpretation

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2021, Proceedings of the IEEE.

A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution

Filiberto Pla, Antonio Plaza, Javier Plaza, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2018, Journal of Real-Time Image Processing.

Multibranch Selective Kernel Networks for Hyperspectral Image Classification

Javier Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2021, IEEE Geoscience and Remote Sensing Letters.

Cloud Implementation of Multinomial Logistic Regression for UAV Hyperspectral Images

Mercedes Eugenia Paoletti, Juan Mario Haut, Mercedes E. Paoletti, 2020, IEEE Journal on Miniaturization for Air and Space Systems.

A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification

Mercedes Eugenia Paoletti, J. M. Haut, Oscar Mogollon, 2023, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Cloud implementation of the K-means algorithm for hyperspectral image analysis

Antonio J. Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2016, The Journal of Supercomputing.

Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion

Filiberto Pla, Antonio Plaza, Javier Plaza, 2018, IEEE Geoscience and Remote Sensing Letters.

Fast Orthogonal Projection for Hyperspectral Unmixing

Mercedes Eugenia Paoletti, J. M. Haut, J. Plaza, 2022, IEEE Transactions on Geoscience and Remote Sensing.

A Navigation Agent for Mobile Manipulators

Mercedes Eugenia Paoletti, Juan Mario Haut, Luis J. Manso, 2015, ROBOT.

U-IMG2DSM: Unpaired Simulation of Digital Surface Models With Generative Adversarial Networks

Mercedes Eugenia Paoletti, M. E. Paoletti, 2020, IEEE Geoscience and Remote Sensing Letters.

A New Max-Min Convolutional Network for Hyperspectral Image Classification

Mercedes Eugenia Paoletti, J. M. Haut, M. E. Paoletti, 2021, 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Parameter-Free Attention Network for Spectral–Spatial Hyperspectral Image Classification

Mercedes Eugenia Paoletti, J. M. Haut, Zhaoyue Wu, 2023, IEEE Transactions on Geoscience and Remote Sensing.

Neighboring Region Dropout for Hyperspectral Image Classification

Javier Plaza, Mercedes Eugenia Paoletti, Juan Mario Haut, 2020, IEEE Geoscience and Remote Sensing Letters.

Code2Bot, a social robot for the classroom

Mercedes Eugenia Paoletti, J. M. Haut, P. Bustos, 2015 .

Separable Attention Network in Single- and Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images

Eligius M. T. Hendrix, Mercedes Eugenia Paoletti, Juan M. Haut, 2022, IEEE Geoscience and Remote Sensing Letters.

Low–High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification

Antonio Plaza, Javier Plaza, Mercedes Eugenia Paoletti, 2019, IEEE Geoscience and Remote Sensing Letters.

AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

Mercedes Eugenia Paoletti, J. M. Haut, S. K. Roy, 2021, 2105.10190.

Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation

Mercedes Eugenia Paoletti, J. M. Haut, J. López, 2023, IEEE Geoscience and Remote Sensing Letters.

Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution

Mercedes Eugenia Paoletti, J. M. Haut, A. Plaza, 2022, IEEE Geoscience and Remote Sensing Letters.

Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification

Mercedes Eugenia Paoletti, J. M. Haut, R. Pastor-Vargas, 2023, IEEE Geoscience and Remote Sensing Letters.

Training deep neural networks: a static load balancing approach

Javier Plaza, Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, 2020, The Journal of Supercomputing.

AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks pdf

Mercedes Eugenia Paoletti, B. B. Chaudhuri, P. Kar, 2021, ArXiv.

Endmember Estimation From Hyperspectral Images Using Geometric Distances

Peng Ren, Javier Plaza, Mercedes Eugenia Paoletti, 2022, IEEE Geoscience and Remote Sensing Letters.

Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis

Mercedes Eugenia Paoletti, J. Plaza, J. M. Haut, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection

Mercedes Eugenia Paoletti, J. M. Haut, Rong Kou, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

Orthogonal projection for anomaly detection in networking datasets

Mercedes Eugenia Paoletti, Juan A. Rico-Gallego, David Cortés-Polo, 2023, Journal of Ambient Intelligence and Humanized Computing.