Publikationen, an denen er mitarbeitet Manuel Domínguez Rodrigo (14)

2022

  1. High-accuracy in the Classification of Butchery Cut Marks and Crocodile Tooth Marks Using Machine Learning Methods and Computer Vision Algorithms

    Geobios, Vol. 72-73, pp. 12-21

  2. The Dorothy Garrod Site: a new Middle Stone Age locality in Olduvai Gorge, Tanzania

    Archaeological and Anthropological Sciences, Vol. 14, Núm. 9

  3. The evolution of stone tool technology at Olduvai Gorge (Tanzania): Contributions from the Olduvai Paleoanthropology and Paleoecology Project

    Anthropologie (France), Vol. 126, Núm. 1

2021

  1. 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

  2. Deep learning classification of tooth scores made by different carnivores: achieving high accuracy when comparing African carnivore taxa and testing the hominin shift in the balance of power

    Archaeological and Anthropological Sciences, Vol. 13, Núm. 2

  3. Early Pleistocene faunivorous hominins were not kleptoparasitic, and this impacted the evolution of human anatomy and socio-ecology

    Scientific Reports, Vol. 11, Núm. 1

  4. En busca del primer Homo: gestión de las investigación arqueológica en la Garganta de Olduvai (Tanzania)

    Complutum, Vol. 32, Núm. 2, pp. 495-504

  5. Equids can also make stone artefacts

    Journal of Archaeological Science: Reports, Vol. 40

2020

  1. Artificial intelligence provides greater accuracy in the classification of modern and ancient bone surface modifications

    Scientific Reports, Vol. 10, Núm. 1

  2. Deep learning improves taphonomic resolution: High accuracy in differentiating tooth marks made by lions and jaguars: Deep learning improves taphonomic resolution: High accuracy in differentiating tooth marks made by lions and jaguars

    Journal of the Royal Society Interface, Vol. 17, Núm. 168

  3. Distinguishing Discoid and Centripetal Levallois methods through machine learning

    PLoS ONE, Vol. 15, Núm. 12 December

  4. 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

  1. Spilled ink blots the mind: A reply to Merrit et al. (2018) on subjectivity and bone surface modifications

    Journal of Archaeological Science

2017

  1. Use and abuse of cut mark analyses: The Rorschach effect

    Journal of Archaeological Science, Vol. 86, pp. 14-23