Author

Felipe Akio Matsuoka

Faculdade de Ciências Médicas da Santa Casa de São PauloORCID 0009-0008-1002-909XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Henrique Nunes Onaga· 1 shared

Activity by Year

2024-2024 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 17, 2024

Classifying Domains, Benchmarking GPT-4, A Portuguese Dataset for Medical AI Q&A

Felipe Akio Matsuoka, Henrique Nunes Onaga

The paper introduces a Portuguese medical question dataset for benchmarking AI models and classifying medical domains, showing GPT-4 achieves 90% accuracy and a BERTimbau-based classifier reaches 94% accuracy.

DOI 10.1101/2024.12.17.627801

deep learningstatistical model

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