Manuel
Domínguez Rodrigo
Catedrático/a de Universidad
Gabriel Paul
Cifuentes Alcobendas
FPU-Ministerio
Gabriel Paul Cifuentes Alcobendas-rekin lankidetzan egindako argitalpenak (10)
2024
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Computer vision enables taxon-specific identification of African carnivore tooth marks on bone
Scientific Reports, Vol. 14, Núm. 1
2022
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Computer vision supports primary access to meat by early Homo 1.84 million years ago
PeerJ Computer Science, Vol. 10
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Neo-taphonomic analysis of the Misiam leopard lair from Olduvai Gorge (Tanzania): understanding leopard-hyena interactions in open settings
Royal Society Open Science, Vol. 9, Núm. 7
2021
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Author Correction: Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications (Scientific Reports, (2020), 10, 1, (18862), 10.1038/s41598-020-75994-7)
Scientific Reports
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Early Pleistocene faunivorous hominins were not kleptoparasitic, and this impacted the evolution of human anatomy and socio-ecology
Scientific Reports, Vol. 11, Núm. 1
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More than meets the eye: use of computer vision algorithms to identify stone tool material through the analysis of cut mark micro-morphology
Archaeological and Anthropological Sciences, Vol. 13, Núm. 10
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Use of generative adversarial networks (Gan) for taphonomic image augmentation and model protocol for the deep learning analysis of bone surface modifications
Applied Sciences (Switzerland), Vol. 11, Núm. 11
2020
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Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications
Scientific Reports, Vol. 10, Núm. 1
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Erratum: Deep learning improves taphonomic resolution: High accuracy in differentiating tooth marks made by lions and jaguars (Journal of the Royal Society Interface (2020) 17 (20200446) DOI: 10.1098/rsif.2020.0446)
Journal of the Royal Society Interface