Author

S. Tabik

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1

Frequent Co-Authors

D. Alcaraz-Segura· 2 shared E. Guirado· 2 shared F. Herrera· 2 shared B. Achchab· 1 shared M. L. Rivas· 1 shared R. Khaldi· 1 shared Y. Benhammou· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersEcology

D. Alcaraz-Segura

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2 papers

Recent·Most cited

Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping

Y. Benhammou, D. Alcaraz-Segura, E. Guirado, R. Khaldi, B. Achchab, F. Herrera, S. Tabik

The paper introduces a Sentinel-2 RGB image dataset for global land use/cover mapping, optimized for deep learning to improve consistency and accuracy in LULC classification.

bioRxiv · Dec 1, 2021 · PreprintEcology

Automatic whale counting in satellite images with deep learning

E. Guirado, S. Tabik, M. L. Rivas, D. Alcaraz-Segura, F. Herrera

This paper develops a deep learning system for automatically counting whales from satellite images, achieving 84% detection and 97% counting accuracy in global whale-watching hotspots.

bioRxiv · Oct 16, 2018Ecology