Author

Marina Vegara‐Riquelme

Universidad de AlcaláORCID 0000-0003-0781-2098Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Enrique BaquedanoiD· 2 shared Manuel Domínguez‐RodrigoiD· 2 shared Abel MoclániD· 1 shared Agness GidnaiD· 1 shared Alejandro Velázquez-Tello· 1 shared Audax Z. P. MabullaiD· 1 shared David Uribelarrea· 1 shared Eduardo Mendez-QuintasiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersPaleontology

Enrique BaquedanoORCID

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2 papers

Recent·Most cited

PaleontologyeLifePeer-reviewedMar 18, 2026

✦ In-depth digest

Earliest Evidence of Elephant Butchery at Olduvai Gorge (Tanzania) Reveals the Evolutionary Impact of Early Human Megafaunal Exploitation

Manuel Domínguez‐Rodrigo, Enrique Baquedano, Abel Moclán…·Audax Z. P. Mabulla

Excavation of the 1.78 Ma Emiliano Aguirre Korongo site and landscape surveys across Olduvai Gorge Bed II reveal systematic early Pleistocene hominin butchery and percussive bone breakage of elephants.

3 citationstop 1%

humanmultiple species

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PaleontologyBiology Methods and ProtocolsPeer-reviewedJan 1, 2025

Reassessing Deep Learning (and Meta-Learning) Computer Vision as an efficient method to determine taphonomic agency in bone surface modifications

Manuel Domínguez‐Rodrigo, Gabriel Cifuentes‐Alcobendas, Marina Vegara‐Riquelme, Enrique Baquedano

This study reassesses the efficiency of deep learning in taphonomic analysis by replicating and optimizing models to address dataset biases and improve reliability.

6 citationstop 1%

imagingdeep learning

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