Výsledky vyhledávání - "Gevaert, Caroline"

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Explainable few-shot learning workflow for detecting invasive and exotic tree species

Autor: Gevaert, Caroline M., Pedro, Alexandra Aguiar, Ku, Ou, Cheng, Hao, Chandramouli, Pranav, Javan, Farzaneh Dadrass, Nattino, Francesco, Georgievska, Sonja

Deep Learning methods are notorious for relying on extensive labeled datasets to train and assess their performance. This can cause difficulties in practical situations where models should be trained for new applications for which very little data is

Externí odkaz: http://arxiv.org/abs/2411.00684

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Responsible AI for Earth Observation

Autor: Ghamisi, Pedram, Yu, Weikang, Marinoni, Andrea, Gevaert, Caroline M., Persello, Claudio, Selvakumaran, Sivasakthy, Girotto, Manuela, Horton, Benjamin P., Rufin, Philippe, Hostert, Patrick, Pacifici, Fabio, Atkinson, Peter M.

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's transformative impact on data analysis, particularly derived from EO plat

Externí odkaz: http://arxiv.org/abs/2405.20868

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Better, Not Just More: Data-Centric Machine Learning for Earth Observation

Autor: Roscher, Ribana, Rußwurm, Marc, Gevaert, Caroline, Kampffmeyer, Michael, Santos, Jefersson A. dos, Vakalopoulou, Maria, Hänsch, Ronny, Hansen, Stine, Nogueira, Keiller, Prexl, Jonathan, Tuia, Devis

Recent developments and research in modern machine learning have led to substantial improvements in the geospatial field. Although numerous deep learning architectures and models have been proposed, the majority of them have been solely developed on

Externí odkaz: http://arxiv.org/abs/2312.05327

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