Advancing Taxonomy with Machine Learning: A Hybrid Ensemble for Species and Genus Classification

Traditionally, classifying species has required taxonomic experts to carefully examine unique physical characteristics, a time-intensive and complex process. Machine learning offers a promising alternative by utilizing computational power to detect subtle distinctions more quickly and accurately. Th...

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Bibliographic Details
Main Authors: Loris Nanni, Matteo De Gobbi, Roger De Almeida Matos Junior, Daniel Fusaro
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/18/2/105
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