Author

T. M. Aide

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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Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:metagenomics· 1

Frequent Co-Authors

J. Lavista Ferres· 1 shared J. LeBien· 1 shared M. Campos-Cerqueira· 1 shared M. Zhong· 1 shared R. Dodhia· 1 shared Z. Miao· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperEcology

J. Lavista Ferres

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1 paper

Recent·Most cited

A comparison of convolutional neural networks and few-shot learning in classifying long-tailed distributed tropical bird songs

M. Zhong, J. LeBien, M. Campos-Cerqueira, T. M. Aide, Z. Miao, R. Dodhia, J. Lavista Ferres

This study compares CNN and few-shot learning methods for classifying rare tropical bird songs, finding Siamese Networks perform better with limited data.

bioRxiv · Jul 25, 2023 · PreprintEcology