Author

Marcela Álvares Oliveira

Universidade Federal de RondôniaORCID 0000-0002-4129-993XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Organism:non-human primate· 1

Frequent Co-Authors

Aline Martins de CarvalhoiD· 1 shared Angela Giovana BatistaiD· 1 shared Aníbal de Freitas Santos JúnioriD· 1 shared Antônio Augusto Ferreira CariocaiD· 1 shared CAMILA CHEREM RIBASiD· 1 shared Célia Márcia Medeiros de MoraisiD· 1 shared Cínthia Baú Betim CazariniD· 1 shared Daniel TregidgoiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperEcology

Aline Martins de CarvalhoORCID

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2 papers

Recent·Most cited

When suitable habitat is not enough: climate change, habitat loss, and dispersal limitation increase the vulnerability of bald-headed uakaris (Cacajao sp.) in the Amazon Rainforest

Felipe Ennes Silva, Ítalo Mourthé, Míriam Plaza Pinto, Rafael Magalhães Rabelo, Marcelo Augusto dos Santos, Luiz Henrique Medeiros Borges, Luã Carlos Rocha Diógenes, Laura K. Marsh, Marcela Álvares Oliveira, CAMILA CHEREM RIBAS, Jean P. Boubli

This study assesses how climate change, habitat loss, and dispersal limitations affect the future habitat suitability of bald-headed uakaris in the Amazon Rainforest.

bioRxiv · Jul 3, 2026 · PreprintEcology

Prioritizing Neglected Food Species in Nutritional Studies Using Expert-Knowledge and Explainable AI

Michelle Cristine Medeiros Jacob, Aline Martins de Carvalho, Angela Giovana Batista, Aníbal de Freitas Santos Júnior, Antônio Augusto Ferreira Carioca, Célia Márcia Medeiros de Morais, Cínthia Baú Betim Cazarin, Daniel Tregidgo, Danilo Vicente Batista de Oliveira, Dirce Maria Lobo Marchioni, Eliana Bistriche Giuntini, Elias Jacob de Menezes Neto, Fillipe de Oliveira Pereira, Gabriela de Farias Moura, Hani Rocha El Bizri, , Ulysses Paulino Albuquerque

This study uses expert knowledge and explainable AI to prioritize neglected food species for nutritional research in Brazil, identifying recipe number and species distribution as key predictors.

Scientific Reports · Mar 2, 2026Peer-reviewedEcology