Fitxa persona

Publicaciones en revistas

Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls (2016) Optimized Kernel Entropy Components. Ieee Transactions On Neural Networks And Learning Systems, 28(6), pp. 1466 - 1472 . ISSN: 2162-237X
Gustau Camps-Valls; Jochem Verrelst; Jordi Munoz-Mari; Valero Laparra; Fernando Mateo-Jimenez; Jose Gomez-Dans (2016) A Survey on Gaussian Processes for Earth Observation Data Analysis. Ieee Geoscience And Remote Sensing Magazine, 4(2), pp. 1 - 16 . ISSN: 2168-6831
Adrián Pérez-Suay; Julia Amorós-López; Luis Gómez-Chova; Valero Laparra; Jordi Muñoz-Marí; Gustau Camps-Valls (2017) Randomized kernels for large scale Earth observation applications. Remote Sensing of Environment, 202, pp. 54 - 63 . ISSN: 0034-4257
Valero Laparra; Jesús Malo (2015) Visual aftereffects and sensory nonlinearities from a single statistical framework. Frontiers In Human Neuroscience. ISSN: 1662-5161
Naoufal Amrani; Joan Serra-Sagristà; Valero Laparra; Michael W. Marcellin; Jesus Malo (2016) Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
Joaquín García-Sobrino; Joan Serra-Sagristà; Valero Laparra; Xavier Calbet; Gustau Camps-Valls (2017) Statistical Atmospheric Parameter Retrieval Largely Benefits from Spatial-Spectral Image Compression. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
Valero Laparra; Alexander Berardino; Johannes Ballé; Eero P. Simoncelli (2017) Perceptually Optimized Image Rendering. Journal of the Optical Society of America A-Optics Image Science and Vision. ISSN: 1084-7529
Laparra, V.; Malo, J.; Camps-Valls, G. (2015) Dimensionality reduction via regression in hyperspectral imagery. Ieee Journal Of Selected Topics In Signal Processing. ISSN: 1932-4553
Mateo, F.; Muñoz-Marí, J.; Laparra, V.; Verrelst, J.; Camps-Valls, G. (2016) Learning Structures in Earth Observation Data with Gaussian Processes. Lecture Notes in Artificial Intelligence, 13, pp. 4291 - 4313 . ISSN: 0302-9743
Muñoz-Marí, J.; Izquierdo-Verdiguier, E.; Campos-Taberner, M.; Pérez-Suay, A.; Gómez-Chova, L.; Mateo-García, G.; Ruescas, A. B.; Laparra, V.; Padrón, J. A.; Amorós-López, J.; Camps-Valls, G. (2017) HyperLabelMe: A Web Platform for Benchmarking Remote-Sensing Image Classifiers. Ieee Geoscience And Remote Sensing Magazine, 5(4), pp. 79 - 85 . ISSN: 2168-6831
García-Haro, F.J.; Campos-Taberner, M.; Muñoz-Marí, J.; Laparra, V.; Camacho, F.; Sánchez-Zapero, J.; Camps-Valls, G. (2018) Derivation of global vegetation biophysical parameters from EUMETSAT Polar System. Isprs Journal of Photogrammetry and Remote Sensing, 139, pp. 57 - 74 . ISSN: 0924-2716
Camps-Valls, G.; Martino, L.; Svendsen, D. H; Campos-Taberner, M.; Muñoz-Marí, J.; Laparra, V.;Luengo, D.; García-Haro, F. J. (2018) Physics-aware Gaussian processes in remote sensing. Applied Soft Computing, 68, pp. 69 - 82 . ISSN: 1568-4946
Gonzalo Mateo-García; Valero Laparra; Dan López-Puigdollers; Luis Gómez-Chova (2020) Transferring deep learning models for cloud detection between Landsat-8 and Proba-V. Isprs Journal of Photogrammetry and Remote Sensing, 160, pp. 1 - 17 . ISSN: 0924-2716
José A. Padrón-Hidalgo ; Valero Laparra ; Nathan Longbotham ; Gustau Camps-Valls (2019) Kernel Anomalous Change Detection for Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
Joaquín García-Sobrino ; Valero Laparra ; Joan Serra-Sagristà ; Xavier Calbet ; Gustau Camps-Valls (2019) Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
David Malmgren-Hansen; Valero Laparra; Allan Aasbjerg Nielsen; Gustau Camps-Valls (2019) Statistical retrieval of atmospheric profiles with deep convolutional neural networks. Isprs Journal of Photogrammetry and Remote Sensing. ISSN: 0924-2716
Johnson, J. E.; Laparra, V.; Camps-Valls, G. (2020) Accounting for Input Noise in Gaussian Process Parameter Retrieval. Ieee Geoscience And Remote Sensing Letters. ISSN: 1545-598X
J. Emmanuel Johnson ;Valero Laparra; Adrián Pérez-Suay; Miguel D. Mahecha; Gustau Camps-Valls (2020) Kernel methods and their derivatives: Concept and perspectives for the Earth system sciences. Plos One. ISSN: 1932-6203
Padr\'on-Hidalgo, J.A; P\'erez-Suay, A.; Nar, F.; Laparra, V.; Camps-Valls, G. (2020) Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 13, pp. 5480 - 5488 . ISSN: 1939-1404
Gonzalo Mateo-García; Valero Laparra; Dan López-Puigdollers; Luis Gómez-Chova (2021) Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 14, pp. 747 - 761 . ISSN: 1939-1404
Van Wittenberghe, S., Laparra, V., García-Plazaola, J.I., Fernandez-Marín, B., Porcar-Castell, A., Moreno, J. (2021) Combined dynamics of the 500-600 nm leaf absorption and chlorophyll fluorescence changes in vivo: Evidence for the multifunctional energy quenching role of xanthophylls. Biochimica et Biophysica Acta-Bioenergetics, 1862(2), p. 148351 . ISSN: 0005-2728
J.A. Padron-Hidalgo, V. Laparra, and G. Camps-Valls (2021) Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
J. Emmanuel Johnson, Valero Laparra, Maria Piles, Gustau Camps-Valls (2021) Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis. Ieee Geoscience And Remote Sensing Magazine. ISSN: 2168-6831
Camps-Valls, G.; Campos-Taberner, M.; Laparra, V. ; Martino, L. ; Munoz-Mari, J. (2022) Retrieval of Physical Parameters with Deep Structured Kernel Regression. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
Sebastia Mijares i Verdu; Johannes Balle; Valero Laparra; Joan Bartrina-Rapesta; Miguel Hernandez-Cabronero; Joan Serra-Sagrista (2023) A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. Remote Sensing. ISSN: 2072-4292
Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (2023) Neural networks with divisive normalization for image segmentation. Pattern Recognition Letters, 173, pp. 64 - 71 . ISSN: 0167-8655
J. Muñoz-Marí; E. Izquierdo-Verdiguier; M. Campos-Taberner; A. Pérez-Suay; L. Gómez-Chova; G. Mateo-García; A. B. Ruescas; V. Laparra; J. A. Padrón; J- Amoros; G. Camps-Valls (2019) A Web Platform for Benchmarking Remote-Sensing Image Classifiers. Ieee Geoscience And Remote Sensing Magazine. ISSN: 2168-6831
Svendsen, D.H.; Hernàndez-Lobato, D.; Laparra, V.; Martino, L.; Moreno-Martínez, A.; Camps-Valls, G. (2021) Inference over Radiative Transfer Models using Variational and Expectation Maximization Methods. Machine Learning. ISSN: 0885-6125
Padron, J.; Laparra, V.; Camps-Valls, G. (2022) Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. IEEE Transactions on Geoscience and Remote Sensing. ISSN: 0196-2892
García-Haro, F.J; Campos-Taberner, M; Martínez, B; Sánchez-Ruiz, S; Gilabert, M.A; Camps-Valls, G; Muñoz-Mari, J; Laparra, V; Camacho, F; Sánchez-Zapero, J; Fuster, B. (2018) Generation of global vegetation products from EUMETSAT AVHRR/METOP Satellites. Geoscience and Remote Sensing (IGARSS), IEEE International Symposium, pp. 1826 - 1829 . ISSN: 2153-6996
Laparra, Valero;Pérez-Suay, Adrián;Piles, María;Muñoz-Marí, Jordi;Amorós-López, Julia;Fernandez-Moran, Roberto;Fernández-Torres, Miguel-Ángel;Adsuara, Jose E. (2023) Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical evidence from log-files in a Learning Management System. IEEE-RITA: revista Iberoamericana de tecnologías del aprendizaje, 18(3), pp. 233 - 238 . ISSN: 1932-8540
Valero Laparra; Juan Emmanuel Johnson; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesús Malo (2024) Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2) . ISSN: 0162-8828

Participaciones en Congresos

Laparra, V.; Gonzalez, D.M.; Tuia, D.; Camps-Valls, G. (2015). Large-scale random features for kernel regression. (Comunicación). Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International, 2015 . ITALIA
V. Laparra; J. Ballé; A. Berardino; E.P. Simoncelli (2015). Perceptual image quality assessment using a normalized Laplacian pyramid. (Ponencia). SPIE, Conf. on Human Vision and Electronic Imaging . ESTADOS UNIDOS DE AMÉRICA
A. Berardino; V. Laparra; J. Ballé; E.P. Simoncelli (2016). Perceptual distortion measured with a gain control model of LGN response. (Poster). Computational and Systems Neuroscience . ESTADOS UNIDOS DE AMÉRICA
J. Ballé; V. Laparra; E.P. Simoncelli (2016). Density Modeling of Images using a Generalized Normalization Transformation. (Ponencia). International Conference on Learning Representations . ESTADOS UNIDOS DE AMÉRICA
J. Ballé; V. Laparra; E.P. Simoncelli (2016). Density Modeling of Images using a Generalized Normalization Transformation. (Poster). SIAM: Conference on Imaging Science . ESTADOS UNIDOS DE AMÉRICA
J. Ballé; V. Laparra; E.P. Simoncelli (2016). End-to-end optimization of nonlinear transform codes for perceptual quality. (Poster). PCS: Picture Coding Symposium . ALEMANIA
E.P. Simoncelli; V. Laparra; J. Ballé; A. Berardino. (2017). Perceptual and engineering implications of cascaded gain control models. (Ponencia invitada). . ESTADOS UNIDOS DE AMÉRICA
A. Berardino; V. Laparra; J. Ballé; E.P. Simoncelli (2017). Predicting perceptual distortion sensitivity with gain control models of LGN. (Ponencia invitada). Annual Meeting, Vision Sciences Society . ESTADOS UNIDOS DE AMÉRICA
A. Berardino; V. Laparra; J. Ballé; E.P. Simoncelli (2017). Visibility of eigen-distortions of hierarchical models. (Ponencia invitada). Computational and Systems Neuroscience . ESTADOS UNIDOS DE AMÉRICA
J. Ballé; V. Laparra; E.P. Simoncelli (2017). End-to-end optimized image compression. (Ponencia). Int'l. Conf. on Learning Representations . ESTADOS UNIDOS DE AMÉRICA

Tesis, tesinas y trabajos