ArticleFrontiers in artificial intelligence2025
A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards.
Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Open access and digital morphology data in evolutionary biology: expanding frontiers of knowledge.BMC ecology and evolution · 2026Review
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5 authors.
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Abstract
Image classification is a highly significant field in machine learning (ML), especially when applied to address longstanding and challenging issues in the biological sciences, such as specie recognition and biodiversity conservation. In this study, we present the development of a hybrid machine learning-based tool suitable for deployment on mobile devices. This tool is aimed at processing and classifying three-dimensional samples of endemic lizard species from the Amazon rainforest. The dataset used in our experiment was collected at the Museu Paraense Emílio Goeldi (MPEG), Belém-PA, Brazil, and comprises three species: (a)
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