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Moises Exposito-Alonso

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2020 – today

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2024
[c1]
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  dblp key:
  - conf/eccv/HuynhGLTSE24
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Andy V. Huynh, Lauren E. Gillespie, Jael Lopez-Saucedo, Claire Tang, Rohan Sikand, Moises Exposito-Alonso:
Contrastive Ground-Level Image and Remote Sensing Pre-training Improves Representation Learning for Natural World Imagery. ECCV (80) 2024: 173-190
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  - journals/corr/abs-2409-19439
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Andy V. Huynh, Lauren E. Gillespie, Jael Lopez-Saucedo, Claire Tang, Rohan Sikand, Moises Exposito-Alonso:
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery. CoRR abs/2409.19439 (2024)
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  - journals/corr/abs-2410-19816
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Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moises Exposito-Alonso, Teja Kattenborn:
DivShift: Exploring Domain-Specific Distribution Shift in Volunteer-Collected Biodiversity Datasets. CoRR abs/2410.19816 (2024)
2022
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  - journals/bioinformatics/CzechE22
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Lucas Czech, Moises Exposito-Alonso:
grenepipe: a flexible, scalable and reproducible pipeline to automate variant calling from sequence reads. Bioinform. 38(20): 4809-4811 (2022)

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