Gabriel Paul
Cifuentes Alcobendas
FPU-Ministerio
Publicaciones (13) Publicaciones de Gabriel Paul Cifuentes Alcobendas
2024
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Computer vision enables taxon-specific identification of African carnivore tooth marks on bone
Scientific Reports, Vol. 14, Núm. 1
2023
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An experimental study of wet-cooking in organic vessels: implications for understanding the evolution of cooking technologies
Archaeological and Anthropological Sciences, Vol. 15, Núm. 9
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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Los Villares locality (Ruidera, Castilla-La Mancha, Spain): a new Middle Pleistocene fossil assemblage from the Southern Iberian Plateau with possible evidence of human activity
Cuaternario y geomorfología: Revista de la Sociedad Española de Geomorfología y Asociación Española para el Estudio del Cuaternario, Vol. 36, Núm. 1, pp. 7-35
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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
2019
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Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks
Scientific Reports, Vol. 9, Núm. 1
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Y volverá de entre los muertos. Estado de la cuestión de los estudios de Antropología Física y Osteoarqueología en el Campo de Montiel
Revista de Estudios del Campo de Montiel, Núm. 3, pp. 107-134