Search Results - "Romero, Luis Salgueiro"

Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks by Salgueiro Romero, Luis, Marcello, Javier, Vilaplana, Verónica

“…Sentinel-2 satellites provide multi-spectral optical remote sensing images with four bands at 10 m of spatial resolution. These images, due to the open data…”
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Redundancy Is Not Necessarily Detrimental in Classification Problems by Grillo, Sebastián Alberto, Noguera, José Luis Vázquez, Mello Román, Julio César Mello, García-Torres, Miguel, Facon, Jacques, Pinto-Roa, Diego P., Salgueiro Romero, Luis Salgueiro, Gómez-Vela, Francisco, Paniagua, Laura Raquel Bareiro, Correa, Deysi Natalia Leguizamon

“…In feature selection, redundancy is one of the major concerns since the removal of redundancy in data is connected with dimensionality reduction. Despite the…”
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Dermoscopy Images Enhancement via Multi-Scale Morphological Operations by Mello-Román, Julio César, Vázquez Noguera, José Luis, Legal-Ayala, Horacio, García-Torres, Miguel, Facon, Jacques, Pinto-Roa, Diego P., Grillo, Sebastian A., Salgueiro Romero, Luis, Salgueiro Toledo, Lizza A., Bareiro Paniagua, Laura Raquel, Leguizamon Correa, Deysi Natalia, Mello-Román, Jorge Daniel

“…Skin dermoscopy images frequently lack contrast caused by varying light conditions. Indeed, often low contrast is seen in dermoscopy images of melanoma,…”
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Impact of melanocytic lesion image databases on the pre-training of segmentation tasks using the UNET architecture by Bareiro Paniagua, Laura Raquel, Noguera, Jose Luis Vazquez, Romero, Luis Salgueiro, Correa, Deysi Natalia Leguizamon, Pinto-Roa, Diego P., Mello-Roman, Julio Cesar, Grillo, Sebastian A., Garcia-Torres, Miguel, Toledo, Lizza A. Salgueiro, Facon, Jacques

“…Image segmentation is a fundamental task for automatic disease diagnostics, and UNET is a widely used architecture for medical image segmentation. This is…”
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Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging by Moliner, Eloi, Romero, Luis Salgueiro, Vilaplana, Veronica

“…This paper studies the problem of training a semantic segmentation neural network with weak annotations, in order to be applied in aerial vegetation images…”
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