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. PolSAR time series processing and analysis based on Binary Partition Trees. In PoLinSAR 2013 Workshop. Frascati (Rome), Italy; 2013. 
(4.58 MB)
(4.58 MB). PolSAR speckle filtering and segmentation based on binary partition tree representation. In 5th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR 2011. Frascati (Rome), Italy; 2011. pp. 1–19. (11.09 MB)
(11.09 MB). PolSAR Time Series Processing with Binary Partition Trees. IEEE Transactions on Geoscience and Remote Sensing. 2014;52(6):3553 – 3567. (4.07 MB)
(4.07 MB). Processing Multidimensional SAR and Hyperspectral Images With Binary Partition Tree. Proceedings of the IEEE. 2013;101(3):723 - 747. (4.46 MB)
(4.46 MB). PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Compution (EPIC). Munich, Germany: Springer; 2018. (3.78 MB)
(3.78 MB). Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022. (1.17 MB)
(1.17 MB). Predicting emotion in movies: Recurrent and convolutional models applied to videos. . 2017. (3.05 MB)
(3.05 MB). Person Tracking. In Computers in the human interaction loop. London: Springer; 2009. pp. 11–22.
. Personalized Image Classi cation from EEG Signals using Deep Learning. . 2017. (4.51 MB)
(4.51 MB). Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
. Proyecto de Innovación Docente COM@WEB (COMunicaciones en la WEB). In VIII Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación. SINTICE'07. 2007. pp. 113–120. (434.45 KB)
(434.45 KB). Performance evaluation of probability density estimators for unsupervised information theoretical region merging. In 16th International Conference on Image Processing. 2009. pp. 4397–4400.
. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
. Particle Filtering and Sparse Sampling for Multi-Person 3D Tracking. In IEEE International Conference on Image Processing. 2008. pp. 2644–2647.
. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
. Predicting Media Interestingness. . 2017. (1.78 MB)
(1.78 MB). Projection to Latent Spaces disentangles pathological effects on brain morphology in the asymptomatic phase of Alzheimer’s disease. Frontiers in Neurology, section Applied Neuroimaging. 2020;11.
. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. In Alzheimer's Association International Conference. Chicago, USA; 2018.
. Projection to Latent Spaces Disentangles Specific Cerebral Morphometric Patterns Associated to Aging and Preclinical AD. Alzheimer's & Dementia: The Journal of the Alzheimer's Association . 2018;14(7):P869-P870.
. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021. (1.55 MB)
(1.55 MB). Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In Alzheimer's Association International Conference. 2021.
. Pre-fetching strategies for remote and interactive browsing of JPEG2000 images. In International Conference on Image Processing. 2006. pp. 3203–3206.
. Prefetching and caching strategies for remote and interactive browsing of JPEG2000 images. IEEE transactions on image processing. 2007;16:1339–1354.
. Perceptual filtering with connected operators and image inpainting. In Proc. of International Symposium on Mathematical Morphology, ISMM 2007. Rio de Janeiro, Brazil; 2007. pp. 227–238. (1.6 MB)
(1.6 MB)