Zobrazeno 1 - 10
of 1 256
pro vyhledávání: '"A. Martínez Ferrer"'
Autor:
Montero, David, Kraemer, Guido, Anghelea, Anca, Aybar, César, Brandt, Gunnar, Camps-Valls, Gustau, Cremer, Felix, Flik, Ida, Gans, Fabian, Habershon, Sarah, Ji, Chaonan, Kattenborn, Teja, Martínez-Ferrer, Laura, Martinuzzi, Francesco, Reinhardt, Martin, Söchting, Maximilian, Teber, Khalil, Mahecha, Miguel D.
Recent advancements in Earth system science have been marked by the exponential increase in the availability of diverse, multivariate datasets characterised by moderate to high spatio-temporal resolutions. Earth System Data Cubes (ESDCs) have emerged
Externí odkaz:
http://arxiv.org/abs/2408.02348
Autor:
Allen, Matthew J, Dorr, Francisco, Mejia, Joseph Alejandro Gallego, Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Satellite-based remote sensing has revolutionised the way we address global challenges. Huge quantities of Earth Observation (EO) data are generated by satellite sensors daily, but processing these large datasets for use in ML pipelines is technicall
Externí odkaz:
http://arxiv.org/abs/2406.04230
Autor:
Gallego-Mejia, Joseph A., Jungbluth, Anna, Martínez-Ferrer, Laura, Allen, Matt, Dorr, Francisco, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Self-supervised learning (SSL) models have recently demonstrated remarkable performance across various tasks, including image segmentation. This study delves into the emergent characteristics of the Self-Distillation with No Labels (DINO) algorithm a
Externí odkaz:
http://arxiv.org/abs/2310.03513
Autor:
Martínez-Ferrer, Laura, Jungbluth, Anna, Gallego-Mejia, Joseph A., Allen, Matt, Dorr, Francisco, Kalaitzis, Freddie, Ramos-Pollán, Raúl
In this work we pre-train a DINO-ViT based model using two Synthetic Aperture Radar datasets (S1GRD or GSSIC) across three regions (China, Conus, Europe). We fine-tune the models on smaller labeled datasets to predict vegetation percentage, and empir
Externí odkaz:
http://arxiv.org/abs/2310.02048
Autor:
Allen, Matt, Dorr, Francisco, Gallego-Mejia, Joseph A., Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
Satellite-based remote sensing is instrumental in the monitoring and mitigation of the effects of anthropogenic climate change. Large scale, high resolution data derived from these sensors can be used to inform intervention and policy decision making
Externí odkaz:
http://arxiv.org/abs/2310.00826
Autor:
Allen, Matt, Dorr, Francisco, Gallego-Mejia, Joseph A., Martínez-Ferrer, Laura, Jungbluth, Anna, Kalaitzis, Freddie, Ramos-Pollán, Raúl
In this work we pretrain a CLIP/ViT based model using three different modalities of satellite imagery across five AOIs covering over ~10\% of Earth's total landmass, namely Sentinel 2 RGB optical imagery, Sentinel 1 SAR radar amplitude and interferom
Externí odkaz:
http://arxiv.org/abs/2310.00119
Publikováno v:
Journal of Parallel and Distributed Computing, 179, (2023), 104711
We propose fork-join and task-based hybrid implementations of four classical linear algebra iterative methods (Jacobi, Gauss-Seidel, conjugate gradient and biconjugate gradient stabilised) as well as variations of them. Algorithms are duly documented
Externí odkaz:
http://arxiv.org/abs/2305.05988
Autor:
Belén Sagastizabal, Inmaculada Calvo, Àngels Martínez-Ferrer, James Clancy, Álvaro Pérez, Alicia Gil, Rosa Bou
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-10 (2024)
Abstract Background Osteogenesis imperfecta (OI) is a rare disease characterized by low bone mass and bone fragility, associated with an increased risk of fractures, and skeletal and extra-skeletal symptoms that results in an impairment of health-rel
Externí odkaz:
https://doaj.org/article/05b0f156ff3642f185f721df3bcca7c6
Autor:
Jordi Bover, Carlos Gómez-Alonso, Enrique Casado, Minerva Rodríguez-García, María Jesús Lloret, Cristina Castro-Alonso, Laia Gifre, Fernando Henríquez-Palop, Águeda Prior-Español, Virginia López de la Manzanara, Ana María Láiz, Àngels Martínez-Ferrer, Josep Vicens Torregrosa, Secundino Cigarrán, José Luis Górriz, Marco Montomoli, Nayara Panizo, Ester Costa, Daniel Martínez-Laguna, Mariano Rodríguez, Juan F. Navarro-González
Publikováno v:
Nefrología (English Edition), Vol 44, Iss 2, Pp 241-250 (2024)
Fracture risk assessment in patients with chronic kidney disease (CKD) has been included in the CKD-MBD (''Chronic Kidney Disease-Mineral and Bone Disorders'') complex in international and national nephrology guidelines, suggesting for the first time
Externí odkaz:
https://doaj.org/article/1a7bc2e8a07a454ab82f95c1b8451ec8
Autor:
Nataniel Medina-Berríos, Wenndy Pantoja-Romero, Alexis Lavín Flores, Sebastián C. Díaz Vélez, Anna C. Martínez Guadalupe, Mariana T. Torres Mulero, Kim Kisslinger, Magaly Martínez-Ferrer, Gerardo Morell, Brad R. Weiner
Publikováno v:
ACS Omega, Vol 9, Iss 11, Pp 12575-12584 (2024)
Externí odkaz:
https://doaj.org/article/4dd5f5205ab5467a9bd2a797f6864d0a