Author

Daniel Precioso

Universidad de CádizORCID 0000-0003-3836-1429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Alberto Torres‐BarrániD· 2 shared David Gómez‐UllateiD· 2 shared David Gordo· 2 shared Kathryn Gavira-O’Neill· 2 shared Manuel Navarro-GarcíaiD· 2 shared Víctor Gallego· 1 shared Víctor Gallego-Alcalá· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Alberto Torres‐BarránORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 14, 2022

How do tuna schools associate to dFADs? A study usingecho-sounder buoys to identify global patterns

Manuel Navarro-García, Daniel Precioso, Kathryn Gavira-O’Neill…·David Gómez‐Ullate

The paper uses machine learning to analyze tuna school association with dFADs using echo-sounder buoy data, finding symmetric aggregation and disaggregation times across oceans.

2 citations

machine learning (classical)benchmarking

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 15, 2021

Tuna-AI: tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

Daniel Precioso, Manuel Navarro-García, Kathryn Gavira-O’Neill…·David Gómez‐Ullate

This paper develops a Machine Learning model to estimate tuna biomass using oceanographic and echosounder FAD data.

1 citation

machine learning (classical)

𝕏 PostBluesky