Juan M Haut

Juan M Haut

Associate Professor

Publications

Journal papers (70)

  1. S.K. Roy, A. Sukul, A. Jamali, J.M. Haut and P. Ghamisi. Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. IEEE Transactions on Geoscience and Remote Sensing, 2024 (link not avaiable).
  2. L. Han, M.E. Paoletti, X. Tao, Z. Wu, J.M. Haut, P. Li, R. Pastor-Vargas and A. Plaza. Hash-based Remote Sensing Image Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 2024 (link not avaiable).
  3. X. Tao, M. E. Paoletti, Z. Wu, J.M. Haut, P. Reng and Antonio Plaza. An Abundance-Guided Attention Network for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 2024 (link).
  4. L. Han, M. E. Paoletti, S. Moreno-Álvarez, J.M. Haut, R. Pastor-Vargas and Antonio Plaza. Hashing for Retrieving Long-tailed Distributed Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 2024 (link not available).
  5. J.M. Haut, S. Moreno-Álvarez, R. Pastor-Vargas, A. Perez-Garcia and M. E. Paoletti. Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 (link).
  6. Z. Wu, M. E. Paoletti, H. Su, X. Tao, L. Han, J.M. Haut and Antonio Plaza. Background-guided Deformable Convolutional Autoencoder for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing, 2023 (link).
  7. S. Moreno-Álvarez, M.E. Paoletti, G. Cavallaro and J.M. Haut. Enhancing Distributed Neural Network Training through Node-Based Communications. IEEE Transactions on Neural Networks and Learning Systems, 2023 (link).
  8. B. Fang, G. Chen, R. Kou, M.E. Paoletti, J.M. Haut and A. Plaza. CIT: Content-invariant translation with hybrid attention mechanism for unsupervised change detection. ISPRS Journal of Photogrammetry and Remote Sensing, 2023 (link).
  9. J.M. Haut, S. Moreno-Álvarez, E. Moreno-Avila, V.A. Ayma, R. Pastor-Vargas, M.E. Paoletti. Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2023 (link).
  10. M.E. Paoletti, X. Tao, L. Han, Z. Wu, S. Moreno-Alvarez, S.K. Roy, A. Plaza, J.M. Haut. Parameter-Free Attention Network for Spectral-Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2023 (link).
  11. Á. Pérez-García, M.E. Paoletti, J.M. Haut, J.F. López. Novel Spectral Loss Function for Unsupervised Hyperspectral Image Segmentation. IEEE Geoscience and Remote Sensing Letters, 2023 (link).
  12. M.E. Paoletti, O. Mogollon, S. Moreno-Álvarez, J.C. Sancho and J.M. Haut. A Comprehensive Survey of Imbalance Correction Techniques for Hyperspectral Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 (link).
  13. M.E. Paoletti, S.-A. Moreno, Y. Xue, J.M. Haut and A. Plaza. AAtt-CNN: Automatic Attention-Based Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023 (link).
  14. A. Cuartero, M.E. Paoletti, P. Garcia-Rodriguez and J.M. Haut. QCircularStats: A QGIS-Plugin for Evaluation Bidimensional Data by Circular Statistics. IEEE Access, vol. 11, 2023 (link).
  15. L. Han, M.E. Paoletti, X. Tao, Z. Wu, J.M. Haut, J. Plaza and A. Plaza. Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval. IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023 (link).
  16. S.K. Roy, A. Deria, C. Shah, J.M. Haut, Q. Du and A. Plaza. Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023 (link).
  17. S. Moreno-Álvarez, M.E. Paoletti, J.A. Rico-Gallego and J.M. Haut. Heterogeneous gradient computing optimization for scalable deep neural networks. Journal of Supercomputing, vol. 78, no. 11, 2022 (link).
  18. X. Tao, M.E. Paoletti, L. Han, Z. Wu, P. Ren, J. Plaza, A. Plaza and J.M. Haut. A New Deep Convolutional Network for Effective Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, 2022 (link).
  19. E.M.T. Hendrix, M. Paoletti and J.M. Haut. On Training Set Selection in Spatial Deep Learning. Springer Optimization and Its Applications, vol. 191, 2022 (link).
  20. Z. Wu, H. Su, X. Tao, L. Han, M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Hyperspectral Anomaly Detection With Relaxed Collaborative Representation. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022 (link).
  21. S. Moreno-Alvarez, M.E. Paoletti, G. Cavallaro, J.A. Rico and J.M. Haut. Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022 (link).
  22. X. Tao, M.E. Paoletti, L. Han, J.M. Haut, P. Ren, J. Plaza and A. Plaza. Fast Orthogonal Projection for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022 (link).
  23. J.L. Garcia, M.E. Paoletti, L.I. Jimenez, J.M. Haut and A. Plaza. Efficient Semantic Segmentation of Hyperspectral Images Using Adaptable Rectangular Convolution. IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022 (link).
  24. X. Tao, M.E. Paoletti, J.M. Haut, L. Han, P. Ren, J. Plaza and A. Plaza. Endmember Estimation from Hyperspectral Images Using Geometric Distances. IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022 (link).
  25. M.E. Paoletti, S. Moreno-Alvarez and J.M. Haut. Multiple Attention-Guided Capsule Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022 (link).
  26. M.E. Paoletti, J.M. Haut, T. Alipour-Fard, S.K. Roy, E.M.T. Hendrix and 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, vol. 19, 2022 (link).
  27. S.K. Roy, J.M. Haut, M.E. Paoletti, S.R. Dubey and A. Plaza. Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022 (link).
  28. J.M. Haut, A. Alcolea, M.E. Paoletti, J. Plaza, J. Resano and A. Plaza. GPU-Friendly Neural Networks for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, vol. 19, 2022 (link).
  29. M.E. Paoletti, J.M. Haut, N.S. Pereira, J. Plaza and A. Plaza. Ghostnet for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 12, 2021 (link).
  30. M.E. Paoletti and J.M. Haut. Adaptable convolutional network for hyperspectral image classification. Remote Sensing, vol. 13, no. 18, 2021 (link).
  31. J.M. Haut, M.E. Paoletti, S. Moreno-Alvarez, J. Plaza, J.-A. Rico-Gallego and A. Plaza. Distributed Deep Learning for Remote Sensing Data Interpretation. Proceedings of the IEEE, vol. 109, no. 8, 2021 (link).
  32. M.E. Paoletti, X. Tao, J.M. Haut, S. Moreno-Álvarez and A. Plaza. Deep mixed precision for hyperspectral image classification. Journal of Supercomputing, vol. 77, no. 8, 2021 (link).
  33. M.E. Paoletti, J.M. Haut, P. Ghamisi, N. Yokoya, J. Plaza and A. Plaza. U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 7, 2021 (link).
  34. M.E. Paoletti, J.M. Haut, X. Tao, J. Plaza and A. Plaza. FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, 2021 (link).
  35. S. Moreno-Alvarez, J.M. Haut, M.E. Paoletti and J.A. Rico-Gallego. Heterogeneous model parallelism for deep neural networks. Neurocomputing, vol. 441, 2021 (link).
  36. T. Alipour-Fard, M.E. Paoletti, J.M. Haut, H. Arefi, J. Plaza and A. Plaza. Multibranch Selective Kernel Networks for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 6, 2021 (link).
  37. X. Tao, M.E. Paoletti, J.M. Haut, P. Ren, J. Plaza and A. Plaza. Endmember estimation with maximum distance analysis. Remote Sensing, vol. 13, no. 4, 2021 (link).
  38. L. Tobarra, J.M. Haut, R. Hernández, R. Pastor-Vargas and A. Robles-Gómez. Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model. IEEE Access, vol. 9, 2021 (link).
  39. S. Roy, R. Mondal, M.E. Paoletti, J.M. Haut and A. Plaza. Morphological Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, 2021 (link).
  40. S.K. Roy, P. Kar, M.E. Paoletti, J.M. Haut, R. Pastor-Vargas and A. Robles-Gomez. SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification. IEEE Access, vol. 9, 2021 (link).
  41. A. Redondo, J.M. Haut, M.E. Paoletti, X. Tao, J. Plaza and A. Plaza. Analysis of Remotely Sensed Images through Social Media. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, 2021 (link).
  42. S. Moreno-Álvarez, J.M. Haut, M.E. Paoletti, J.A. Rico-Gallego, J.C. Díaz-Martín and J. Plaza. Training deep neural networks: a static load balancing approach. Journal of Supercomputing, vol. 76, no. 12, 2020 (link).
  43. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Scalable recurrent neural network for hyperspectral image classification. Journal of Supercomputing, vol. 76, no. 11, 2020 (link).
  44. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Neighboring Region Dropout for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 6, 2020 (link).
  45. M.E. Paoletti, J.M. Haut, X. Tao, J.P. Miguel and A. Plaza. A new GPU implementation of support vector machines for fast hyperspectral image classification. Remote Sensing, vol. 12, no. 8, 2020 (link).
  46. A. Maffei, J.M. Haut, M.E. Paoletti, J. Plaza, L. Bruzzone and A. Plaza. A Single Model CNN for Hyperspectral Image Denoising. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, 2020 (link).
  47. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Neural Ordinary Differential Equations for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, 2020 (link).
  48. A. Alcolea, M.E. Paoletti, J.M. Haut, J. Resano and A. Plaza. Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview. Remote Sensing, vol. 12, no. 3, 2020 (link).
  49. M.E. Paoletti, J.M. Haut, S.K. Roy and E.M.T. Hendrix. Rotation equivariant convolutional neural networks for hyperspectral image classification. IEEE Access, vol. 8, 2020 (link).
  50. J.M. Haut, J.A. Gallardo, M.E. Paoletti, G. Cavallaro, J. Plaza, A. Plaza and M. Riedel. Cloud deep networks for hyperspectral image analysis. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, 2019 (link).
  51. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Deep learning classifiers for hyperspectral imaging: A review. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 158, 2019 (link).
  52. J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza and J. Li. Hyperspectral Image Classification Using Random Occlusion Data Augmentation. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 11, 2019 (link).
  53. J.M. Haut, Fern, R. ez-Beltran, M.E. Paoletti, J. Plaza and A. Plaza. Remote Sensing Image Superresolution Using Deep Residual Channel Attention. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, 2019 (link).
  54. J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza and J. Li. Visual Attention-Driven Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, 2019 (link).
  55. J.M. Haut, M.E. Paoletti, Fern, R. ez-Beltran, J. Plaza, A. Plaza and J. Li. Remote sensing single-image superresolution based on a deep compendium model. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9, 2019 (link).
  56. J.A.G. Jaramago, M.E. Paoletti, J.M. Haut, Fern, R. ez-Beltran, A. Plaza and 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, vol. 12, no. 9, 2019 (link).
  57. J.M. Haut, S. Bernabé, M.E. Paoletti, Fern, R. ez-Beltran, A. Plaza and J. Plaza. Low-High-Power Consumption Architectures for Deep-Learning Models Applied to Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 5, 2019 (link).
  58. M.E. Paoletti, J.M. Haut, Fern, R. ez-Beltran, J. Plaza, A. Plaza, J. Li and F. Pla. Capsule Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, 2019 (link).
  59. M.E. Paoletti, J.M. Haut, Fern, R. ez-Beltran, J. Plaza, A.J. Plaza and F. Pla. Deep pyramidal residual networks for spectral-spatial hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, 2019 (link).
  60. N. He, M.E. Paoletti, J.M. Haut, L. Fang, S. Li, A. Plaza and J. Plaza. Feature extraction with multiscale covariance maps for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, 2019 (link).
  61. M.E. Paolettia, J.M. Haut, J. Plaza and 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, vol. 16, no. 2, 2019 (link).
  62. J.M. Haut, Fern, R. ez-Beltran, M.E. Paoletti, J. Plaza, A. Plaza and F. Pla. A new deep generative network for unsupervised remote sensing single-image super-resolution. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, 2018 (link).
  63. J.M. Haut, M.E. Paoletti, J. Plaza, J. Li and A. Plaza. Active learning with convolutional neural networks for hyperspectral image classification using a new bayesian approach. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, 2018 (link).
  64. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. A new deep convolutional neural network for fast hyperspectral image classification. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, 2018 (link).
  65. J.M. Haut, M.E. Paoletti, J. Plaza and A. Plaza. Fast dimensionality reduction and classification of hyperspectral images with extreme learning machines. Journal of Real-Time Image Processing, vol. 15, no. 3, 2018 (link).
  66. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Deep & Dense convolutional neural network for hyperspectral image classification. Remote Sensing, vol. 10, no. 9, 2018 (link).
  67. Fern, R. ez-Beltran, J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza and F. Pla. Multimodal probabilistic latent semantic analysis for Sentinel-1 and Sentinel-2 image fusion. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 9, 2018 (link).
  68. Fern, R. ez-Beltran, J.M. Haut, M.E. Paoletti, J. Plaza, A. Plaza and 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, vol. 11, no. 12, 2018 (link).
  69. J.M. Haut, M. Paoletti, J. Plaza and A. Plaza. Cloud implementation of the K-means algorithm for hyperspectral image analysis. Journal of Supercomputing, vol. 73, no. 1, 2017 (link).
  70. J.M. Haut, L. Manso, D. Gallego, M. Paoletti, P. Bustos, B, A. era and A. Romero-Garcés. A navigation agent for mobile manipulators. Advances in Intelligent Systems and Computing, vol. 418, 2016 (link).

International conference papers (24)

  1. Z. Wu, X. Tao, M. E. Paoletti, J.M. Haut, R. Pastor-Vargas and Antonio Plaza. Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection. 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Athens, Greece, Oct. 31 - Nov. 02 2023 (link).
  2. C. Anton-Munarriz, R. Pastor-Vargas, J.M. Haut, A. Robles-Gomez, M.E. Paoletti and J.A. Benitez-Andrades. Detection of cerebral ischaemia using transfer learning techniques. Proceedings - IEEE Symposium on Computer-Based Medical Systems, vol. 2023-June, 2023 (link).
  3. A. Cuartero, M.E. Paoletti, P. Garcia-Rodriguez and J.M. Haut. PyCircularStats: A Python-Based Tool for Remote Sensing Circular Statistics and Graphical Analysis. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  4. S. Moreno-Alvarez, M.E. Paoletti, J.A. Rico, G. Cavallaro and J.M. Haut. Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  5. Z. Wu, H. Su, X. Tao, L. Han, M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  6. X. Tao, M.E. Paoletti, L. Han, Z. Wu, L.I. Jimenez, J.M. Haut, P. Ren, J. Plaza and A. Plaza. A New 3D Convolution Network for Hyperspectral Unmixing. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  7. A. Cuartero, M.E. Paoletti, A.R. Presas and J.M. Haut. Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  8. M.E. Paoletti, X. Tao, L. Han, Z. Wu, S. Moreno-Alvarez and J.M. Haut. Deep Attention-Driven HSI Scene Classification Based on Inverted Dot-Product. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2022-July, 2022 (link).
  9. N. Pereira, J. Plaza, J.M. Haut and 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 (link).
  10. R.V. Gonzalez, A. Robles-Gomez, R. Pastor-Vargas, J.M. Haut, N.A. Passadore, M.E. Paoletti, C.L. SanchezBocanegra, L. Tobarra, K.A. Chacon-Vargas, R.H. Berlinches and 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, vol. 2021-June, 2021 (link).
  11. L. Tobarra, A. Robles-Gomez, R. Pastor-Vargas, Hern, R. ez and J.M. Haut. Studying the students' learning in LoT@UNED. IEEE Global Engineering Education Conference, EDUCON, vol. 2021-April, 2021 (link).
  12. S.K. Roy, M.E. Paoletti, J.M. Haut, E.M.T. Hendrix and A. Plaza. A New Max-Min Convolutional Network for Hyperspectral Image Classification. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 2021-March, 2021 (link).
  13. X. Tao, L. Han, M.E. Paoletti, S.K. Roy, J. Plaza, J.M. Haut and A. Plaza. MULTIPLE INCREMENTAL KERNEL CONVOLUTION FOR LAND COVER CLASSIFICATION OF REMOTELY SENSED IMAGES. International Geoscience and Remote Sensing Symposium (IGARSS), 2021 (link).
  14. J.M. Haut, M.E. Paoletti, R. Pastor-Vargas, Ll. Tobarra, A. Robles-Gomez, Hern, R. ez, E.M.T. Hendrix and J. Li. ADAPTING KERNELS FOR HYPERSPECTRAL IMAGE CLASSIFICATION. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2021-July, 2021 (link).
  15. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Training Capsnets via Active Learning for Hyperspectral Image Classification. International Geoscience and Remote Sensing Symposium (IGARSS), 2020 (link).
  16. A. Maffei, J.M. Haut, M.E. Paoletti, J. Plaza, L. Bruzone and A. Plaza. Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 2019-September, 2019 (link).
  17. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification. International Geoscience and Remote Sensing Symposium (IGARSS), 2019 (link).
  18. S. Bernabe, C. Garcia, Fern, R. ez-Beltran, M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis. International Geoscience and Remote Sensing Symposium (IGARSS), 2019 (link).
  19. C. Liu, J. Li, M.E. Paoletti, J.M. Haut, A. Plaza and Q. Shi. Accessibility-Free Active Learning for Hyperspectral Image Classification. International Geoscience and Remote Sensing Symposium (IGARSS), 2019 (link).
  20. J.M. Haut, Y. Liu, M.E. Paoletti, X. Xu, J. Plaza and A. Plaza. Evaluation of different regularization methods for the extreme learning machine applied to hyperspectral images. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, 2018 (link).
  21. M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. An investigation on self-normalized deep neural networks for hyperspectral image classification. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, 2018 (link).
  22. J.M. Haut, Fern, R. ez-Beltran, M.E. Paoletti, J. Plaza, A. Plaza and F. Pla. Inter-sensor regression analysis for operational sentinel-2 and sentinel-3 data products. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2018-July, 2018 (link).
  23. M.E. Paoletti, J.M. Haut, J. Plaza, A. Plaza, Q. Liu and 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), vol. 2017-July, 2017 (link).
  24. M. Penalver, F. DelFrate, M.E. Paoletti, J.M. Haut, J. Plaza and A. Plaza. Onboard payload-data dimensionality reduction. International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2017-July, 2017 (link).