Author

E. Masiero da Fonseca

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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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

B. C. Carstens· 2 shared C. E. P. Thompson· 1 shared F. de Pinho Werneck· 1 shared G. Rinaldi Colli· 1 shared L. N. Barrow· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersEvolutionary Biology

B. C. Carstens

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2 papers

Recent·Most cited

Phylogeographic model selection using convolutional neural networks

E. Masiero da Fonseca, G. Rinaldi Colli, F. de Pinho Werneck, B. C. Carstens

This study applies convolutional neural networks to phylogeographic model selection, achieving high accuracy in demographic model identification compared to approximate Bayesian computation.

bioRxiv · Sep 11, 2020Evolutionary Biology

Predicting amphibian intraspecific diversity with machine learning: Challenges and prospects for integrating traits, geography, and genetic data

L. N. Barrow, E. Masiero da Fonseca, C. E. P. Thompson, B. C. Carstens

The paper uses machine learning to predict intraspecific genetic diversity in amphibians by integrating traits, geography, and genetic data, finding significant phylogenetic signal and lower diversity in northern salamanders.

bioRxiv · May 3, 2020Evolutionary Biology