CV

Education

• B.S. in Computer Engineer, University of Extremadura, 2010
• M.S. in Computer Engineer, University of Extremadura, 2012
• Ph.D in Computer Techonology, University of Extremadura, 2019

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Paper Title Number 1

Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).

Paper Title Number 2

Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).

Paper Title Number 3

Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).

A navigation agent for mobile manipulators

M. Haut, L. Manso, D. Gallego, M. Paoletti, P. Bustos, A. Bandera, A. Romero-Garcés, "A navigation agent for mobile manipulators." Advances in Intelligent Systems and Computing, 2016.

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

J.M. Haut, M. Paoletti, J. Plaza, A. Plaza, "Cloud implementation of the K-means algorithm for hyperspectral image analysis." Journal of Supercomputing, 2017.

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

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, Q. Liu, R. Hang, "Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

Onboard payload-data dimensionality reduction

M. Penalver, F. Del, M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Onboard payload-data dimensionality reduction." International Geoscience and Remote Sensing Symposium (IGARSS), 2017.

A new deep convolutional neural network for fast hyperspectral image classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "A new deep convolutional neural network for fast hyperspectral image classification." ISPRS Journal of Photogrammetry and Remote Sensing, 2018.

A new deep generative network for unsupervised remote sensing single-image super-resolution

J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, J. Plaza, A. Plaza, F. Pla, "A new deep generative network for unsupervised remote sensing single-image super-resolution." IEEE Transactions on Geoscience and Remote Sensing, 2018.

Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach

J.M. Haut, M.E. Paoletti, J. Plaza, J. Li, A. Plaza, "Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach." IEEE Transactions on Geoscience and Remote Sensing, 2018.

An investigation on self-normalized deep neural networks for hyperspectral image classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "An investigation on self-normalized deep neural networks for hyperspectral image classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

Deep & Dense convolutional neural network for hyperspectral image classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Deep & Dense convolutional neural network for hyperspectral image classification." Remote Sensing, 2018.

Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images

J.M. Haut, Y. Liu, M.E. Paoletti, X. Xu, J. Plaza, A. Plaza, "Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images." International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

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

J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza, "Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines." Journal of Real-Time Image Processing, 2018.

Inter-sensor regression analysis for operational sentinel-2 and sentinel-3 data products

J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, J. Plaza, A. Plaza, F. Pla, "Inter-sensor regression analysis for operational sentinel-2 and sentinel-3 data products." International Geoscience and Remote Sensing Symposium (IGARSS), 2018.

Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion

R. Fernandez-Beltran, J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza, F. Pla, "Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion." IEEE Geoscience and Remote Sensing Letters, 2018.

Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis

R. Fernandez-Beltran, J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza, F. Pla, "Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.

A comparative study of techniques for hyperspectral image classification [Estudio comparativo de técnicas de clasificación de imágenes hiperespectrales]

M.E. Paolettia, J.M. Haut, J. Plaza, A. Plaza, "A comparative study of techniques for hyperspectral image classification [Estudio comparativo de técnicas de clasificación de imágenes hiperespectrales]." RIAI - Revista Iberoamericana de Automatica e Informatica Industrial, 2019.

Accessibility-Free Active Learning for Hyperspectral Image Classification

C. Liu, J. Li, M.E. Paoletti, J.M. Haut, A. Plaza, Q. Shi, "Accessibility-Free Active Learning for Hyperspectral Image Classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2019.

Capsule Networks for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza, J. Li, F. Pla, "Capsule Networks for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2019.

Cloud deep networks for hyperspectral image analysis

J.M. Haut, J.A. Gallardo, M.E. Paoletti, G. Cavallaro, J. Plaza, A. Plaza, M. Riedel, "Cloud deep networks for hyperspectral image analysis." IEEE Transactions on Geoscience and Remote Sensing, 2019.

Deep learning classifiers for hyperspectral imaging: A review

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Deep learning classifiers for hyperspectral imaging: A review." ISPRS Journal of Photogrammetry and Remote Sensing, 2019.

Deep pyramidal residual networks for spectral-spatial hyperspectral image classification

M.E. Paoletti, J.M. Haut, R. Fernandez-Beltran, J. Plaza, A.J. Plaza, F. Pla, "Deep pyramidal residual networks for spectral-spatial hyperspectral image classification." IEEE Transactions on Geoscience and Remote Sensing, 2019.

Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising

A. Maffei, J.M. Haut, M.E. Paoletti, J. Plaza, L. Bruzone, A. Plaza, "Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising." Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, 2019.

Feature extraction with multiscale covariance maps for hyperspectral image classification

N. He, M.E. Paoletti, J.M. Haut, L. Fang, S. Li, A. Plaza, J. Plaza, "Feature extraction with multiscale covariance maps for hyperspectral image classification." IEEE Transactions on Geoscience and Remote Sensing, 2019.

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

J.A.G. Jaramago, M.E. Paoletti, J.M. Haut, R. Fernandez-Beltran, A. Plaza, J. Plaza, "GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019.

Hyperspectral Image Classification Using Random Occlusion Data Augmentation

J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza, J. Li, "Hyperspectral Image Classification Using Random Occlusion Data Augmentation." IEEE Geoscience and Remote Sensing Letters, 2019.

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

J.M. Haut, S. Bernabé, M.E. Paoletti, R. Fernandez-Beltran, A. Plaza, J. Plaza, "Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters, 2019.

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

S. Bernabe, C. Garcia, R. Fernandez-Beltran, M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis." International Geoscience and Remote Sensing Symposium (IGARSS), 2019.

Remote Sensing Image Superresolution Using Deep Residual Channel Attention

J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, J. Plaza, A. Plaza, "Remote Sensing Image Superresolution Using Deep Residual Channel Attention." IEEE Transactions on Geoscience and Remote Sensing, 2019.

Remote sensing single-image superresolution based on a deep compendium model

J.M. Haut, M.E. Paoletti, R. Fernandez-Beltran, J. Plaza, A. Plaza, J. Li, "Remote sensing single-image superresolution based on a deep compendium model." IEEE Geoscience and Remote Sensing Letters, 2019.

Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2019.

Visual Attention-Driven Hyperspectral Image Classification

J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza, J. Li, "Visual Attention-Driven Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2019.

A Single Model CNN for Hyperspectral Image Denoising

A. Maffei, J.M. Haut, M.E. Paoletti, J. Plaza, L. Bruzzone, A. Plaza, "A Single Model CNN for Hyperspectral Image Denoising." IEEE Transactions on Geoscience and Remote Sensing, 2020.

A new GPU implementation of support vector machines for fast hyperspectral image classification

M.E. Paoletti, J.M. Haut, X. Tao, J.P. Miguel, A. Plaza, "A new GPU implementation of support vector machines for fast hyperspectral image classification." Remote Sensing, 2020.

Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview

A. Alcolea, M.E. Paoletti, J.M. Haut, J. Resano, A. Plaza, "Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview." Remote Sensing, 2020.

Neighboring Region Dropout for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Neighboring Region Dropout for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters, 2020.

Neural Ordinary Differential Equations for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Neural Ordinary Differential Equations for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2020.

Rotation equivariant convolutional neural networks for hyperspectral image classification

M.E. Paoletti, J.M. Haut, S.K. Roy, E.M.T. Hendrix, "Rotation equivariant convolutional neural networks for hyperspectral image classification." IEEE Access, 2020.

Scalable recurrent neural network for hyperspectral image classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Scalable recurrent neural network for hyperspectral image classification." Journal of Supercomputing, 2020.

Training Capsnets via Active Learning for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Training Capsnets via Active Learning for Hyperspectral Image Classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2020.

Training deep neural networks: a static load balancing approach

S. Moreno-Álvarez, J.M. Haut, M.E. Paoletti, J.A. Rico-Gallego, J.C. Díaz-Martín, J. Plaza, "Training deep neural networks: a static load balancing approach." Journal of Supercomputing, 2020.

A New Max-Min Convolutional Network for Hyperspectral Image Classification

S.K. Roy, M.E. Paoletti, J.M. Haut, E.M.T. Hendrix, A. Plaza, "A New Max-Min Convolutional Network for Hyperspectral Image Classification." Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, 2021.

A recommendation system for electronic health records in the context of the HOPE project

R.V. Gonzalez, A. Robles-Gomez, R. Pastor-Vargas, J.M. Haut, N.A. Passadore, M.E. Paoletti, C.L. Sanchez, L. Tobarra, K.A. Chacon-Vargas, R.H. Berlinches, F.S. Rubio, "A recommendation system for electronic health records in the context of the HOPE project." Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2021.

ADAPTING KERNELS FOR HYPERSPECTRAL IMAGE CLASSIFICATION

J.M. Haut, M.E. Paoletti, R. Pastor-Vargas, Ll. Tobarra, A. Robles-Gomez, R. Hernandez, E.M.T. Hendrix, J. Li, "ADAPTING KERNELS FOR HYPERSPECTRAL IMAGE CLASSIFICATION." International Geoscience and Remote Sensing Symposium (IGARSS), 2021.

Adaptable convolutional network for hyperspectral image classification

M.E. Paoletti, J.M. Haut, "Adaptable convolutional network for hyperspectral image classification." Remote Sensing, 2021.

Analysis of Remotely Sensed Images through Social Media

A. Redondo, J.M. Haut, M.E. Paoletti, X. Tao, J. Plaza, A. Plaza, "Analysis of Remotely Sensed Images through Social Media." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model

L. Tobarra, J.M. Haut, R. Hernández, R. Pastor-Vargas, A. Robles-Gómez, "Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model." IEEE Access, 2021.

Deep mixed precision for hyperspectral image classification

M.E. Paoletti, X. Tao, J.M. Haut, S. Moreno-Álvarez, A. Plaza, "Deep mixed precision for hyperspectral image classification." Journal of Supercomputing, 2021.

Distributed Deep Learning for Remote Sensing Data Interpretation

J.M. Haut, M.E. Paoletti, S. Moreno-Alvarez, J. Plaza, J.-A. Rico-Gallego, A. Plaza, "Distributed Deep Learning for Remote Sensing Data Interpretation." Proceedings of the IEEE, 2021.

Endmember estimation with maximum distance analysis

X. Tao, M.E. Paoletti, J.M. Haut, P. Ren, J. Plaza, A. Plaza, "Endmember estimation with maximum distance analysis." Remote Sensing, 2021.

FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, X. Tao, J. Plaza, A. Plaza, "FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2021.

Ghostnet for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, N.S. Pereira, J. Plaza, A. Plaza, "Ghostnet for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2021.

Heterogeneous model parallelism for deep neural networks

S. Moreno-Alvarez, J.M. Haut, M.E. Paoletti, J.A. Rico-Gallego, "Heterogeneous model parallelism for deep neural networks." Neurocomputing, 2021.

MULTIPLE INCREMENTAL KERNEL CONVOLUTION FOR LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGES

X. Tao, L. Han, M.E. Paoletti, S.K. Roy, J. Plaza, J.M. Haut, A. Plaza, "MULTIPLE INCREMENTAL KERNEL CONVOLUTION FOR LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGES." International Geoscience and Remote Sensing Symposium (IGARSS), 2021.

Morphological Convolutional Neural Networks for Hyperspectral Image Classification

S. Roy, R. Mondal, M.E. Paoletti, J.M. Haut, A. Plaza, "Morphological Convolutional Neural Networks for Hyperspectral Image Classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021.

Multibranch Selective Kernel Networks for Hyperspectral Image Classification

T. Alipour-Fard, M.E. Paoletti, J.M. Haut, H. Arefi, J. Plaza, A. Plaza, "Multibranch Selective Kernel Networks for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters, 2021.

On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device

N. Pereira, J. Plaza, J.M. Haut, A. Plaza, "On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device." Iberian Conference on Information Systems and Technologies, CISTI, 2021.

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

S.K. Roy, P. Kar, M.E. Paoletti, J.M. Haut, R. Pastor-Vargas, A. Robles-Gomez, "SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification." IEEE Access, 2021.

Studying the students' learning in LoT@UNED

L. Tobarra, A. Robles-Gomez, R. Pastor-Vargas, R. Hernandez, J.M. Haut, "Studying the students' learning in LoT@UNED." IEEE Global Engineering Education Conference, EDUCON, 2021.

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

M.E. Paoletti, J.M. Haut, P. Ghamisi, N. Yokoya, J. Plaza, A. Plaza, "U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks." IEEE Geoscience and Remote Sensing Letters, 2021.

A New 3D Convolution Network for Hyperspectral Unmixing

X. Tao, M.E. Paoletti, L. Han, Z. Wu, L.I. Jimenez, J.M. Haut, P. Ren, J. Plaza, A. Plaza, "A New 3D Convolution Network for Hyperspectral Unmixing." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

A New Deep Convolutional Network for Effective Hyperspectral Unmixing

X. Tao, M.E. Paoletti, L. Han, Z. Wu, P. Ren, J. Plaza, A. Plaza, J.M. Haut, "A New Deep Convolutional Network for Effective Hyperspectral Unmixing." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation

Z. Wu, H. Su, X. Tao, L. Han, M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

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

A. Cuartero, M.E. Paoletti, A.R. Presas, J.M. Haut, "Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

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

M.E. Paoletti, X. Tao, L. Han, Z. Wu, S. Moreno-Alvarez, J.M. Haut, "Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution

J.L. Garcia, M.E. Paoletti, L.I. Jimenez, J.M. Haut, A. Plaza, "Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution." IEEE Geoscience and Remote Sensing Letters, 2022.

Endmember Estimation from Hyperspectral Images Using Geometric Distances

X. Tao, M.E. Paoletti, J.M. Haut, L. Han, P. Ren, J. Plaza, A. Plaza, "Endmember Estimation from Hyperspectral Images Using Geometric Distances." IEEE Geoscience and Remote Sensing Letters, 2022.

Fast Orthogonal Projection for Hyperspectral Unmixing

X. Tao, M.E. Paoletti, L. Han, J.M. Haut, P. Ren, J. Plaza, A. Plaza, "Fast Orthogonal Projection for Hyperspectral Unmixing." IEEE Transactions on Geoscience and Remote Sensing, 2022.

GPU-Friendly Neural Networks for Remote Sensing Scene Classification

J.M. Haut, A. Alcolea, M.E. Paoletti, J. Plaza, J. Resano, A. Plaza, "GPU-Friendly Neural Networks for Remote Sensing Scene Classification." IEEE Geoscience and Remote Sensing Letters, 2022.

Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification

S.K. Roy, J.M. Haut, M.E. Paoletti, S.R. Dubey, A. Plaza, "Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2022.

Heterogeneous gradient computing optimization for scalable deep neural networks

S. Moreno-Álvarez, M.E. Paoletti, J.A. Rico-Gallego, J.M. Haut, "Heterogeneous gradient computing optimization for scalable deep neural networks." Journal of Supercomputing, 2022.

Hyperspectral Anomaly Detection With Relaxed Collaborative Representation

Z. Wu, H. Su, X. Tao, L. Han, M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, "Hyperspectral Anomaly Detection With Relaxed Collaborative Representation." IEEE Transactions on Geoscience and Remote Sensing, 2022.

Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification

M.E. Paoletti, S. Moreno-Alvarez, J.M. Haut, "Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2022.

On Training Set Selection in Spatial Deep Learning

E.M.T. Hendrix, M. Paoletti, J.M. Haut, "On Training Set Selection in Spatial Deep Learning." Springer Optimization and Its Applications, 2022.

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

S. Moreno-Alvarez, M.E. Paoletti, J.A. Rico, G. Cavallaro, J.M. Haut, "Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

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

A. Cuartero, M.E. Paoletti, P. Garcia-Rodriguez, J.M. Haut, "PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis." International Geoscience and Remote Sensing Symposium (IGARSS), 2022.

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

S. Moreno-Alvarez, M.E. Paoletti, G. Cavallaro, J.A. Rico, J.M. Haut, "Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing." IEEE Geoscience and Remote Sensing Letters, 2022.

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

M.E. Paoletti, J.M. Haut, T. Alipour-Fard, S.K. Roy, E.M.T. Hendrix, A. Plaza, "Separable Attention Network in Single- And Mixed-Precision Floating Point for Land-Cover Classification of Remote Sensing Images." IEEE Geoscience and Remote Sensing Letters, 2022.

Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval

L. Han, M.E. Paoletti, X. Tao, Z. Wu, J.M. Haut, J. Plaza, A. Plaza, "Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval." IEEE Geoscience and Remote Sensing Letters, 2023.

Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification Permalink

S.K. Roy, A. Deria, C. Shah, J.M. Haut, Q. Du, A. Plaza, "Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification." IEEE Transactions on Geoscience and Remote Sensing, 2023.

Talks

Teaching

Service and leadership

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