Publications

Journal articles and conference contributions in reverse chronological order.

95 journal articles listed on this website
63 conference contributions listed on this website
Latest publications and current citation metrics on Google Scholar
ESI Highly Cited & Hot Papers

Bibliography updated on 19 October 2026. Articles use the year of their journal volume where assigned; Early Access articles are identified in their entries.

Journal Papers · International Conferences · National Conferences

Journal Papers

  1. ESWA
    3D-SCube: Information-preserving spatial-spectral rearrangement for hyperspectral semantic segmentation
    María B. García-Flores, Carlos Cañada-Rostro, Mercedes E. Paoletti, and 1 more author
    Expert Systems with Applications, 333, 133926, 2027
    Journal volume dated January 2027.
  2. IEEE TGRS
    DRAGON-BS: A Unified Gradient-Boosted Reinforcement Learning Framework for Interpretable Band Selection
    María B. García-Flores, Carlos Cañada-Rostro, Mercedes E. Paoletti, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 2026
    Early Access.
  3. EAAI
    Towards knowledge-infused seabed sediment mapping: A semi-supervised framework integrating large language models and knowledge graphs for multibeam data
    Haoyi Wang, Weitao Chen, Xianju Li, and 5 more authors
    Engineering Applications of Artificial Intelligence, 182, 115757, 2026
  4. Electronics
    Scaling and Validating a Distributed Training and Retraining Pipeline for Network Intrusion Detection
    José M. Franco-Valiente, Jesús Calle-Cancho, Asier Serrano-Martín, and 1 more author
    Electronics, 15(18), 4074, 2026
  5. IEEE GRSM
    Remote Sensing of the Coastal Zone: An ever-growing concern for coastal sustainability
    Bo Fang, Xiaoxiang Zhang, Lizhe Wang, and 4 more authors
    IEEE Geoscience and Remote Sensing Magazine, 2–40, 2026
  6. IEEE JSTARS
    Condensed and Discriminative Feature Encoding for Remote Sensing Image Retrieval
    Lirong Han, Youran Ge, Mercedes E. Paoletti, and 3 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 25537–25550, 2026
  7. MLWA
    Fast Attention Network approach for traffic classification on next-generation networks
    Jesús Calle-Cancho, Luis Ignacio Jiménez, Juan M. Haut, and 2 more authors
    Machine Learning with Applications, 24, 100904, 2026
  8. J. Supercomput.
    An efficiency-driven anomaly detection pipeline for mobile networks
    José Miguel Franco-Valiente, Jesús Calle-Cancho, David Cortés-Polo, and 1 more author
    The Journal of Supercomputing, 82(6), 361, 2026
  9. ESWA
    Transformer-based network for enhanced wireless service differentiation in 6G
    David Cortés-Polo, Jesús Calle-Cancho, Mercedes E. Paoletti, and 1 more author
    Expert Systems with Applications, 300, 130379, 2026
  10. Vis. Comp.
    QSphericalStats: enhancing geospatial analysis with spherical statistical insights in QGIS
    Aurora Cuartero, Mercedes Paoletti, Pablo Fernández-González, and 2 more authors
    The Visual Computer, 42(5), 220, 2026
  11. Array
    AI-driven meta-model for cybersecurity in next-generation networks using multilayer Extreme Learning Machine
    Jesús Calle-Cancho, Jesús Galeano-Brajones, David Cortés-Polo, and 2 more authors
    Array, 29, 100707, 2026
  12. IEEE JSTARS
    A Physics-Guided Diffusion Unmixing Model for Global Lunar Mineral Abundance Mapping
    Pan Zheng, Hongjun Su, Zhaoyue Wu, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19, 7320–7340, 2026
  13. IEEE TGRS
    Distributed Parallel Hyperspectral Unmixing for Large-Scale Data in Spark Environments via Geometric Distance
    Carlos Cañada, Mercedes E. Paoletti, María B. García-Flores, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 63, 1–19, 2025
  14. IEEE TGRS
    DenseMixerMamba: Residual Mixing for Spectral–Spatial Hyperspectral Image Classification
    Mercedes E. Paoletti, Zhaoyue Wu, Pan Zheng, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 63, 1–19, 2025
  15. IEEE JSTARS
    PIDLF+: A Novel Adaptive PIDLF for Forestry Height Mapping Based on Single-Baseline PolInSAR Data
    Dandan Li, Hailiang Lu, Mercedes E. Paoletti, and 4 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 20054–20071, 2025
  16. IEEE JSTARS
    A Novel Spectral-Spatial Attention Network for Zero-Shot Pansharpening
    Hailiang Lu, Mercedes E. Paoletti, Juan M. Haut, and 3 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 19805–19820, 2025
  17. HISS
    Cerebral ischemia detection using deep learning techniques
    Rafael Pastor-Vargas, Cristina Antón-Munárriz, Juan M. Haut, and 3 more authors
    Health Information Science and Systems, 13(1), 36, 2025
  18. IEEE TGRS
    KACNet: Kolmogorov-Arnold Convolution Network for Hyperspectral Anomaly Detection
    Zhaoyue Wu, Hailiang Lu, Mercedes E. Paoletti, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 63, 1–14, 2025
  19. IEEE TGRS
    REDU-Net: Robust and Efficient Dynamic Unfolding Network for Abundance Estimation
    Youran Ge, Lirong Han, Mercedes E. Paoletti, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 63, 1–14, 2025
  20. ISPRS
    Deep shared proxy construction hashing for cross-modal remote sensing image fast target retrieval
    L. Han, M.E. Paoletti, S. Moreno-Álvarez, and 2 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2024
  21. IEEE TGRS
    SMCNet: Sparse-inspired Masked Convolutional Network for Hyperspectral Anomaly Detection
    Z. Wu, M.E. Paoletti, H. Su, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2024
  22. IEEE GRSL
    Transformer-Enhanced CNN based on Intensive Feature for Hyperspectral Unmixing
    Y. Ge, L. Han, M.E. Paoletti, and 2 more authors
    IEEE Geoscience and Remote Sensing Letters, 2024
  23. FI
    Decentralized Mechanism for Edge Node Allocation in Access Network: An Experimental Evaluation
    J. Calle, C. Cañada, R. Pastor-Vargas, and 2 more authors
    Future Internet, 16(9), 342, 2024
  24. SN CS
    Hyperspectral Image Analysis Using Cloud-Based Support Vector Machines
    J.M. Haut, J.M. Franco-Valiente, M.E. Paoletti, and 2 more authors
    SN Computer Science, 2024
  25. ESWA
    Federated Learning Meets Remote Sensing
    S. Moreno-Álvarez, M.E. Paoletti, A.J. Sanchez-Fernandez, and 3 more authors
    Expert Systems with Applications, 2024
  26. IEEE TGRS
    Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification
    S.K. Roy, A. Sukul, A. Jamali, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2024
  27. IEEE TGRS
    Hash-based Remote Sensing Image Retrieval
    L. Han, M.E. Paoletti, X. Tao, and 5 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2024
  28. IEEE TGRS
    An Abundance-Guided Attention Network for Hyperspectral Unmixing
    X. Tao, M.E. Paoletti, Z. Wu, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2024
  29. IEEE TGRS
    Hashing for Retrieving Long-tailed Distributed Remote Sensing Images
    L. Han, M.E. Paoletti, S. Moreno-Álvarez, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2024
  30. IEEE JSTARS
    Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection
    J.M. Haut, S. Moreno-Álvarez, R. Pastor-Vargas, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
  31. IEEE TGRS
    Background-guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection
    Z. Wu, M.E. Paoletti, H. Su, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2023
  32. IEEE TNNLS
    Enhancing Distributed Neural Network Training through Node-Based Communications
    S. Moreno-Álvarez, M.E. Paoletti, G. Cavallaro, and 1 more author
    IEEE Transactions on Neural Networks and Learning Systems, 2023
  33. ISPRS
    CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection
    B. Fang, G. Chen, R. Kou, and 3 more authors
    ISPRS Journal of Photogrammetry and Remote Sensing, 2023
  34. IEEE GRSL
    Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification
    J.M. Haut, S. Moreno-Álvarez, E. Moreno-Avila, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 2023
  35. IEEE TGRS
    Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification
    M.E. Paoletti, X. Tao, L. Han, and 5 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 2023
  36. IEEE GRSL
    Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation
    Á. Pérez-García, M.E. Paoletti, J.M. Haut, and 1 more author
    IEEE Geoscience and Remote Sensing Letters, 2023
  37. IEEE JSTARS
    A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification
    M.E. Paoletti, O. Mogollón, S. Moreno-Álvarez, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
  38. IEEE TGRS
    AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification
    M.E. Paoletti, S. Moreno-Álvarez, Y. Xue, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 61, 2023
  39. IEEE Access
    QCircularStats: A QGIS-Plugin for Evaluation Bidimensional Data by Circular Statistics
    A. Cuartero, M.E. Paoletti, P. Garcia-Rodriguez, and 1 more author
    IEEE Access, 11, 2023
  40. IEEE GRSL
    Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval
    L. Han, M.E. Paoletti, X. Tao, and 4 more authors
    IEEE Geoscience and Remote Sensing Letters, 20, 2023
  41. IEEE TGRS
    Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification
    S.K. Roy, A. Deria, C. Shah, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 61, 2023
  42. J. Supercomp.
    Heterogeneous gradient computing optimization for scalable deep neural networks
    S. Moreno-Álvarez, M.E. Paoletti, J.A. Rico-Gallego, and 1 more author
    The Journal of Supercomputing, 78(11), 2022
  43. IEEE JSTARS
    A New Deep Convolutional Network for Effective Hyperspectral Unmixing
    X. Tao, M.E. Paoletti, L. Han, and 5 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 2022
  44. Springer
    On Training Set Selection in Spatial Deep Learning
    E.M.T. Hendrix, M.E. Paoletti, and J.M. Haut
    Springer Optimization and Its Applications, 191, 2022
  45. IEEE TGRS
    Hyperspectral Anomaly Detection With Relaxed Collaborative Representation
    Z. Wu, H. Su, X. Tao, and 5 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 60, 2022
  46. IEEE GRSL
    Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing
    S. Moreno-Álvarez, M.E. Paoletti, G. Cavallaro, and 2 more authors
    IEEE Geoscience and Remote Sensing Letters, 19, 2022
  47. IEEE TGRS
    Fast Orthogonal Projection for Hyperspectral Unmixing
    X. Tao, M.E. Paoletti, L. Han, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 60, 2022
  48. IEEE GRSL
    Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution
    J.L. Garcia, M.E. Paoletti, L.I. Jimenez, and 2 more authors
    IEEE Geoscience and Remote Sensing Letters, 19, 2022
  49. IEEE GRSL
    Endmember Estimation from Hyperspectral Images Using Geometric Distances
    X. Tao, M.E. Paoletti, J.M. Haut, and 4 more authors
    IEEE Geoscience and Remote Sensing Letters, 19, 2022
  50. IEEE TGRS
    Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification
    M.E. Paoletti, S. Moreno-Álvarez, and J.M. Haut
    IEEE Transactions on Geoscience and Remote Sensing, 60, 2022
  51. IEEE GRSL
    Separable Attention Network in Single- And Mixed-Precision Floating Point for Land-Cover Classification
    M.E. Paoletti, J.M. Haut, T. Alipour-Fard, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 19, 2022
  52. IEEE TGRS
    Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
    S.K. Roy, J.M. Haut, M.E. Paoletti, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 60, 1–15, 2022
  53. IEEE GRSL
    GPU-Friendly Neural Networks for Remote Sensing Scene Classification
    J.M. Haut, A. Alcolea, M.E. Paoletti, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 19, 2022
  54. IEEE TGRS
    GhostNet for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, N.S. Pereira, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 59(12), 10378–10393, 2021
  55. Rem. Sens.
    Adaptable convolutional network for hyperspectral image classification
    M.E. Paoletti and J.M. Haut
    Remote Sensing, 13(18), 2021
  56. Proc. IEEE
    Distributed Deep Learning for Remote Sensing Data Interpretation
    J.M. Haut, M.E. Paoletti, S. Moreno-Álvarez, and 3 more authors
    Proceedings of the IEEE, 109(8), 1320–1349, 2021
  57. J. Supercomp.
    Deep mixed precision for hyperspectral image classification
    M.E. Paoletti, X. Tao, J.M. Haut, and 2 more authors
    The Journal of Supercomputing, 77(8), 2021
  58. IEEE GRSL
    U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks
    M.E. Paoletti, J.M. Haut, P. Ghamisi, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 18(7), 2021
  59. IEEE TGRS
    FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 59(7), 5860–5876, 2021
  60. Neurocomp.
    Heterogeneous Model Parallelism for Deep Neural Networks
    S. Moreno-Álvarez, J.M. Haut, M.E. Paoletti, and 1 more author
    Neurocomputing, 441, 1–12, 2021
  61. IEEE GRSL
    Multibranch Selective Kernel Networks for Hyperspectral Image Classification
    T. Alipour-Fard, M.E. Paoletti, J.M. Haut, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 18(6), 2021
  62. Rem. Sens.
    Endmember estimation with maximum distance analysis
    X. Tao, M.E. Paoletti, J.M. Haut, and 3 more authors
    Remote Sensing, 13(4), 2021
  63. IEEE Access
    Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model
    L. Tobarra, J.M. Haut, R. Hernández, and 2 more authors
    IEEE Access, 9, 2021
  64. IEEE JSTARS
    Morphological Convolutional Neural Networks for Hyperspectral Image Classification
    S.K. Roy, R. Mondal, M.E. Paoletti, and 2 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2021
  65. IEEE Access
    SiCoDeF2 Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification
    S.K. Roy, P. Kar, M.E. Paoletti, and 3 more authors
    IEEE Access, 9, 2021
  66. IEEE JSTARS
    Analysis of Remotely Sensed Images through Social Media
    A. Redondo, J.M. Haut, M.E. Paoletti, and 3 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2021
  67. J. Supercomp.
    Training deep neural networks: a static load balancing approach
    S. Moreno-Álvarez, J.M. Haut, M.E. Paoletti, and 3 more authors
    The Journal of Supercomputing, 76, 9739–9754, 2020
  68. J. Supercomp.
    Scalable recurrent neural network for hyperspectral image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    The Journal of Supercomputing, 76, 8866–8882, 2020
  69. IEEE GRSL
    Neighboring Region Dropout for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    IEEE Geoscience and Remote Sensing Letters, 17(6), 2020
  70. Rem. Sens.
    A new GPU implementation of support vector machines for fast hyperspectral image classification
    M.E. Paoletti, J.M. Haut, X. Tao, and 2 more authors
    Remote Sensing, 12(8), 2020
  71. IEEE TGRS
    A Single Model CNN for Hyperspectral Image Denoising
    A. Maffei, J.M. Haut, M.E. Paoletti, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 58(4), 2516–2529, 2020
  72. IEEE TGRS
    Neural Ordinary Differential Equations for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 58(3), 1718–1734, 2020
  73. Rem. Sens.
    Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview
    A. Alcolea, M.E. Paoletti, J.M. Haut, and 2 more authors
    Remote Sensing, 12(3), 2020
  74. IEEE Access
    Rotation equivariant convolutional neural networks for hyperspectral image classification
    M.E. Paoletti, J.M. Haut, S.K. Roy, and 1 more author
    IEEE Access, 8, 2020
  75. IEEE JMASS
    Cloud Implementation of Multinomial Logistic Regression for UAV Hyperspectral Images
    J.M. Haut and M.E. Paoletti
    IEEE Journal on Miniaturization for Air and Space Systems, 1(3), 163–171, 2020
  76. IEEE TGRS
    Cloud Deep Networks for Hyperspectral Image Analysis
    J.M. Haut, J.A. Gallardo, M.E. Paoletti, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(12), 9832–9848, 2019
  77. ISPRS
    Deep Learning Classifiers for Hyperspectral Imaging: A Review
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    ISPRS Journal of Photogrammetry and Remote Sensing, 158, 279–317, 2019
  78. IEEE GRSL
    Hyperspectral Image Classification Using Random Occlusion Data Augmentation
    J.M. Haut, M.E. Paoletti, J. Plaza, and 2 more authors
    IEEE Geoscience and Remote Sensing Letters, 16(11), 2019
  79. IEEE TGRS
    Remote Sensing Image Superresolution Using Deep Residual Channel Attention
    J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(11), 2019
  80. IEEE TGRS
    Visual Attention-Driven Hyperspectral Image Classification
    J.M. Haut, M.E. Paoletti, J. Plaza, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(10), 8065–8080, 2019
  81. IEEE GRSL
    Remote sensing single-image superresolution based on a deep compendium model
    J.M. Haut, M.E. Paoletti, R. Fernandez-Beltran, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 16(9), 2019
  82. IEEE JSTARS
    GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing
    J.A. Gallardo, M.E. Paoletti, J.M. Haut, and 3 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(9), 2019
  83. IEEE GRSL
    Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification
    J.M. Haut, S. Bernabé, M.E. Paoletti, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 16(5), 2019
  84. IEEE TGRS
    Capsule Networks for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, R. Fernandez-Beltran, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(4), 2145–2160, 2019
  85. IEEE TGRS
    Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, R. Fernandez-Beltran, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(2), 740–754, 2019
  86. IEEE TGRS
    Feature Extraction with Multiscale Covariance Maps for Hyperspectral Image Classification
    N. He, M.E. Paoletti, J.M. Haut, and 4 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 57(2), 755–769, 2019
  87. RIAI
    A comparative study of techniques for hyperspectral image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    RIAI - Revista Iberoamericana de Automática e Informática Industrial, 16(2), 2019
  88. IEEE TGRS
    A new deep generative network for unsupervised remote sensing single-image super-resolution
    J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, and 3 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 56(11), 6792–6810, 2018
  89. IEEE TGRS
    Active learning with convolutional neural networks for hyperspectral image classification using a new Bayesian approach
    J.M. Haut, M.E. Paoletti, J. Plaza, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing, 56(11), 6440–6461, 2018
  90. ISPRS
    A new deep convolutional neural network for fast hyperspectral image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    ISPRS Journal of Photogrammetry and Remote Sensing, 145, 120–147, 2018
  91. JRTIP
    Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines
    J.M. Haut, M.E. Paoletti, J. Plaza, and 1 more author
    Journal of Real-Time Image Processing, 15(3), 2018
  92. Rem. Sens.
    Deep and Dense convolutional neural network for hyperspectral image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    Remote Sensing, 10(9), 2018
  93. IEEE GRSL
    Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion
    R. Fernandez-Beltran, J.M. Haut, M.E. Paoletti, and 3 more authors
    IEEE Geoscience and Remote Sensing Letters, 15(9), 2018
  94. IEEE JSTARS
    Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis
    R. Fernandez-Beltran, J.M. Haut, M.E. Paoletti, and 3 more authors
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 2018
  95. J. Supercomp.
    Cloud implementation of the K-means algorithm for hyperspectral image analysis
    J.M. Haut, M.E. Paoletti, J. Plaza, and 1 more author
    The Journal of Supercomputing, 73(1), 2017

International Conference Papers

  1. IGARSS
    Efficient Hyperspectral Band Selection and Classification Based on Actor-Critic Policy
    M.B. García Flores, C. Cañada, A. Quesada, and 5 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025
  2. WHISPERS
    A Big Data Library for Rice Yield Index Calculations with Apache Spark
    C. Cañada Rostro, M.B. García Flores, M.E. Paoletti, and 1 more author
    In 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025
  3. WHISPERS
    Accelerating 3D Convolutions for Hyperspectral Image Analysis Using Triton on GPUs
    B. Sánchez Calza, C. Cañada Rostro, M.B. García Flores, and 2 more authors
    In 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025
  4. WHISPERS
    Self-Supervised Quantization-Aware Knowledge Distillation for 3D CNNs in Hyperspectral Image Classification
    M.B. García Flores, M.E. Paoletti, J.M. Haut, and 1 more author
    In 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2025
  5. ICAI
    A Decentralised and Scalable Approach for Intrusion Detection in Cybersecurity Networks
    J.M. Franco Valiente, J. Calle Cancho, C. Cañada Rostro, and 1 more author
    In 1st Iberian Conference on Cybersecurity and Artificial Intelligence (ICAI), 2025
  6. IGARSS
    Correlation-aware Averaging for Federated Learning in Remote Sensing Data Classification
    S. Moreno-Álvarez, L. Han, M.E. Paoletti, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
  7. IGARSS
    Deep Robust Hashing Using Self-Distillation for Remote Sensing Image Retrieval
    L. Han, M.E. Paoletti, S. Moreno-Álvarez, and 2 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
  8. IGARSS
    Typical Mineral Abundance Estimation of Chang’e-3 Yutu Rover with Hyperspectral Data Based on Diffusion Autoencoder Unmixing Model
    P. Zheng, Z. Wu, M.E. Paoletti, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024
  9. WHISPERS
    Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection
    Z. Wu, X. Tao, M.E. Paoletti, and 3 more authors
    In 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023
  10. IEEE CBMS
    Detection of cerebral ischaemia using transfer learning techniques
    C. Antón-Munárriz, R. Pastor-Vargas, J.M. Haut, and 3 more authors
    In IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023
  11. IGARSS
    PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis
    A. Cuartero, M.E. Paoletti, P. Garcia-Rodriguez, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  12. IGARSS
    Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
    S. Moreno-Álvarez, M.E. Paoletti, J.A. Rico, and 2 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  13. IGARSS
    Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation
    Z. Wu, H. Su, X. Tao, and 5 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  14. IGARSS
    A New 3D Convolution Network for Hyperspectral Unmixing
    X. Tao, M.E. Paoletti, L. Han, and 6 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  15. IGARSS
    Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with PyCircularStats
    A. Cuartero, M.E. Paoletti, A.R. Presas, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  16. IGARSS
    Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product
    M.E. Paoletti, X. Tao, L. Han, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
  17. CISTI
    On the Evaluation of Machine Learning Algorithms for HSI Classification on a Heterogeneous Computing Device
    N. Pereira, J. Plaza, J.M. Haut, and 1 more author
    In Iberian Conference on Information Systems and Technologies (CISTI), 2021
  18. IEEE CBMS
    A recommendation system for electronic health records in the context of the HOPE project
    R.V. González, A. Robles-Gómez, R. Pastor-Vargas, and 2 more authors
    In IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), 2021
  19. EDUCON
    Studying the students’ learning in LoT@UNED
    L. Tobarra, A. Robles-Gómez, R. Pastor-Vargas, and 2 more authors
    In IEEE Global Engineering Education Conference (EDUCON), 2021
  20. WHISPERS
    A New Max-Min Convolutional Network for Hyperspectral Image Classification
    S.K. Roy, M.E. Paoletti, J.M. Haut, and 2 more authors
    In 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021
  21. IGARSS
    Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images
    X. Tao, L. Han, M.E. Paoletti, and 4 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021
  22. IGARSS
    Adapting Kernels for Hyperspectral Image Classification
    J.M. Haut, M.E. Paoletti, R. Pastor-Vargas, and 5 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021
  23. CMMSE
    Cloud Deep Convolutional Neural Network for Hyperspectral Image Analysis
    M.E. Paoletti, J.M. Franco, J.M. Haut, and 2 more authors
    In 21st International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2021
  24. CMMSE
    Hyperspectral Image Analysis with Cloud SVM
    J.M. Haut, M.E. Paoletti, S. Moreno-Álvarez, and 2 more authors
    In 22nd International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2021
  25. FSW
    Single Board Computers for Efficient On-Board Multispectral Image Processing
    N.S.A. Pereira, J.M. Haut, J. Plaza, and 1 more author
    In Finnish Satellite Workshop, 2021
    Conference presentation.
  26. IGARSS
    Training Capsnets via Active Learning for Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020
  27. CMMSE
    Efficient Networks for Remote Sensing Image Processing
    J.M. Haut, M.E. Paoletti, J. Plaza, and 1 more author
    In 20th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2020
  28. WHISPERS
    Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising
    A. Maffei, J.M. Haut, M.E. Paoletti, and 3 more authors
    In 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2019
  29. IGARSS
    Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019
  30. IGARSS
    Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis
    S. Bernabé, C. García, R. Fernandez-Beltran, and 4 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019
  31. IGARSS
    Accessibility-Free Active Learning for Hyperspectral Image Classification
    C. Liu, J. Li, M.E. Paoletti, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019
  32. CMMSE
    Exploring Distributed Deep Network Training Accuracy and Performance on Heterogeneous Clusters
    S. Moreno-Álvarez, M.E. Paoletti, J.M. Haut, and 3 more authors
    In 19th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2019
  33. CMMSE
    Scalable Recurrent Neural Network for Spectral-Spatial Classification of Hyperspectral Images
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In 19th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 2019
  34. IGARSS
    Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images
    J.M. Haut, Y. Liu, M.E. Paoletti, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018
  35. IGARSS
    An investigation on self-normalized deep neural networks for hyperspectral image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018
  36. IGARSS
    Inter-sensor regression analysis for operational Sentinel-2 and Sentinel-3 data products
    J.M. Haut, R. Fernandez-Beltran, M.E. Paoletti, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018
  37. ESA MED
    Cloud Computing Implementation of a Neural Classifier for Remotely Sensed Hyperspectral Images
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In MED 2018, ESA-ESRIN, 2018
  38. IGARSS
    Multicore implementation of the multi-scale adaptive deep pyramid matching model for remotely sensed image classification
    M.E. Paoletti, J.M. Haut, J. Plaza, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
  39. IGARSS
    Onboard payload-data dimensionality reduction
    M. Penalver, F. DelFrate, M.E. Paoletti, and 3 more authors
    In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
  40. CMMSE
    Cloud Implementation of Logistic Regression for Hyperspectral Image Classification
    J.M. Haut, M.E. Paoletti, A. Paz-Gallardo, and 2 more authors
    In 17th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 1030–1041, 2017
  41. CMMSE
    Yinyang K-means Clustering for Hyperspectral Image Analysis
    M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author
    In 17th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 1625–1636, 2017
  42. Robot
    A navigation agent for mobile manipulators
    J.M. Haut, L. Manso, D. Gallego, and 4 more authors
    In Robot 2015: Second Iberian Robotics Conference, 418, 745–756, 2016
  43. CMMSE
    Cloud Implementation of the K-Means Algorithm for Hyperspectral Image Analysis
    J.M. Haut, M.E. Paoletti, J. Plaza, and 1 more author
    In 16th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE), 630–641, 2016

National Conference Papers

  1. CAEPIA
    Code2bot, a social robot for the classroom
    J.M. Haut, M.E. Paoletti, P. Bustos, and 1 more author
    In Congresos de la Asociación Española para la Inteligencia Artificial (CAEPIA), 2015
  2. SARTECO
    Aceleración de Operaciones Convolucionales en GPU mediante Triton
    B. Sánchez Calza, C. Cañada Rostro, M.B. García Flores, and 2 more authors
    In Jornadas SARTECO 2025, 2025
  3. SARTECO
    Implementación Paralela y Distribuida de Desmezclado Hiperespectral Usando Distancias Geométricas
    C. Cañada Rostro, M.B. García Flores, M.E. Paoletti, and 1 more author
    In Jornadas SARTECO 2025, 2025
  4. SARTECO
    Monitorización del Rendimiento Computacional y la Eficiencia Energética en Deep Learning
    A. Quesada, M.E. Paoletti, and J.M. Haut
    In Jornadas SARTECO 2025, 2025
  5. SARTECO
    Desarrollo de una Implementación Distribuida en el Framework Hive para Detección de Catástrofes Naturales
    C. Cañada Rostro, M.B. García Flores, M.E. Paoletti, and 2 more authors
    In Jornadas SARTECO 2024, 2024
  6. SARTECO
    Mejora del Entrenamiento de Redes Neuronales Distribuidas a través de Comunicaciones entre Nodos
    S. Moreno-Álvarez, M.E. Paoletti, and J.M. Haut
    In Jornadas SARTECO 2024, 2024
  7. SARTECO
    Implementación Cloud del algoritmo MLR para clasificación de imágenes hiperespectrales
    J.M. Haut, M.E. Paoletti, A. Plaza, and 1 more author
    In Jornadas SARTECO 2022, 2022
  8. SARTECO
    x8064: Herramienta para el aprendizaje de ensamblador en arquitecturas actuales
    E. Moreno-Avila, L.I. Jimenez, M.E. Paoletti, and 1 more author
    In Jornadas SARTECO 2022, 2022
  9. SARTECO
    Red Recurrente Masivamente Paralela para Clasificación de Imagen Hiperespectral
    M.E. Paoletti and J.M. Haut
    In Jornadas SARTECO 2021, 2021
  10. JD UEx
    Equilibrado del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas
    S. Moreno-Álvarez, M.E. Paoletti, J.M. Haut, and 3 more authors
    In III Jornadas Doctorales de la UEx, 2019
  11. JD UEx
    Generación de Modelos Digitales de Elevaciones Sintéticos a través de Redes Profundas Antagónicas
    M.E. Paoletti and J.M. Haut
    In III Jornadas Doctorales de la UEx, 2019
  12. SARTECO
    Evaluación de Rendimiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas
    S. Moreno-Álvarez, M.E. Paoletti, J.M. Haut, and 3 more authors
    In Jornadas SARTECO 2019, 2019
  13. SARTECO
    Nueva implementación paralela en GPUs del algoritmo pLSA para desmezclado de imágenes hiperespectrales
    J.A. Gallardo, M.E. Paoletti, J.M. Haut, and 2 more authors
    In Jornadas SARTECO 2019, 2019
  14. SARTECO
    Una nueva plataforma social para el procesamiento de imágenes hiperespectrales de manera masiva
    M. Blanco, M.E. Paoletti, J.M. Haut, and 2 more authors
    In Jornadas SARTECO 2019, 2019
  15. SARTECO
    Una única arquitectura neuronal profunda para eliminar ruido en imágenes hiperespectrales
    A. Maffei, M.E. Paoletti, J.M. Haut, and 3 more authors
    In Jornadas SARTECO 2019, 2019
  16. SARTECO
    Red Neuronal Profunda Distribuida Para Compresión de Imágenes Hiperespectrales
    J.M. Haut, M.E. Paoletti, J.A. Gallardo, and 2 more authors
    In Jornadas SARTECO 2018, 2018
  17. Innov. Educ.
    Competencia Digital
    M.E. Paoletti, J.M. Haut, and N. García
    In Jornadas de Innovación Educativa, 2017
  18. SARTECO
    Evaluación del rendimiento de una implementación Cloud para un clasificador neuronal aplicado a imágenes hiperespectrales
    J.M. Haut, M.E. Paoletti, J. Plaza, and 1 more author
    In Jornadas SARTECO 2016, 127–134, 2016
  19. Vocaciones
    Learnbot: aprender el pasado con nuevas tecnologías
    E.X. Paoletti, M.E. Paoletti, N. García, and 2 more authors
    In I Workshop Estudiar Ciencias: Creando Vocaciones Científicas, 2016
  20. Vocaciones
    Learnbot: aprendizaje colaborativo con robots
    M.E. Paoletti, E.X. Paoletti, N. García, and 2 more authors
    In I Workshop Estudiar Ciencias: Creando Vocaciones Científicas, 2016