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DeepDive: estimating global biodiversity patterns through time using deep learning

Biology

DeepDive: estimating global biodiversity patterns through time using deep learning

R. B. Cooper, J. T. Flannery-sutherland, et al.

Discover DeepDive, a groundbreaking method developed by Rebecca B. Cooper, Joseph T. Flannery-Sutherland, and Daniele Silvestro, that leverages deep learning to analyze global biodiversity changes over time. This innovative approach addresses the limitations of the fossil record, yielding robust palaeodiversity estimates and fresh insights into mass extinctions and diversity fluctuations.... show more
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Citations
22
Influential Citations
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Reference Count
104
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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