Author

J. M. Ochoa

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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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

E. A. Noguera-Urbano· 2 shared J. Espinosa· 2 shared R. Rios· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersEcology

E. A. Noguera-Urbano

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2 papers

Recent·Most cited

EcologybioRxivPreprintSep 6, 2021

A supervised learning algorithm to evaluate occurrence records in virtual species

R. Rios, E. A. Noguera-Urbano, J. Espinosa, J. M. Ochoa

The paper develops a supervised learning algorithm to evaluate occurrence records of virtual species using simulated data and expert knowledge.

DOI 10.1101/2021.09.06.459158

metagenomicsdeep learning

𝕏 PostBluesky

EcologybioRxivPreprintSep 5, 2021

Machine learning techniques to derive bioclimatic classifications for Colombia

R. Rios, E. A. Noguera-Urbano, J. Espinosa, J. M. Ochoa

The paper applies machine learning to create two new bioclimatic classifications for Colombia by redefining Lang categories using logistic regression on precipitation data.

DOI 10.1101/2021.09.05.459033

machine learning (classical)

𝕏 PostBluesky