Blanca Jiménez-García

A Taphonomic Study of DS-22A (Bed I, Olduvai Gorge) and Its Implications for Reconstructing Hominin-Carnivore Interactions at Early Pleistocene Anthropogenic Sites

Quaternary

Jan 2025

journal-article

A Taphonomic Study of DS-22A (Bed I, Olduvai Gorge) and Its Implications for Reconstructing Hominin-Carnivore Interactions at Early Pleistocene Anthropogenic Sites

Quaternary

Jan 2025

journal-article

Artificial intelligence for the identification of taphonomic bio-accumulator agents: an actualistic test of potential faunal accumulation agency applied to Tritons Cave (Lleida, Spain)

Royal Society Open Science

Jan 2024

journal-article

Differentiating taphonomic features from trampling and dietary microwear, an experimental approach

Historical Biology

Jan 2024

journal-article

Computer vision enables taxon-specific identification of African carnivore tooth marks on bone

Scientific Reports

Jan 2024

journal-article

Computer vision supports primary access to meat by early Homo 1.84 million years ago

PeerJ

Jan 2022

journal-article

Lithic technology at the Early Dabban in Hagfet ed Dabba (Cyrenaica, Libya)

Archaeological and Anthropological Sciences

Jan 2021

journal-article

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

Scientific Reports

Jan 2021

journal-article

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

Jan 2021

journal-article

Distinguishing Discoid and Centripetal Levallois methods through machine learning

PLOS ONE

Jan 2020

journal-article

Corrigendum to ‘Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars'

Journal of the Royal Society Interface

Jan 2020

journal-article

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

Nature Scientific Reports

Jan 2020

journal-article

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

Journal of the Royal Society Interface

Jan 2020

journal-article

Blanca Jiménez-García

Work

Universidad de Alcalá

Publications

A Taphonomic Study of DS-22A (Bed I, Olduvai Gorge) and Its Implications for Reconstructing Hominin-Carnivore Interactions at Early Pleistocene Anthropogenic Sites

A Taphonomic Study of DS-22A (Bed I, Olduvai Gorge) and Its Implications for Reconstructing Hominin-Carnivore Interactions at Early Pleistocene Anthropogenic Sites

Artificial intelligence for the identification of taphonomic bio-accumulator agents: an actualistic test of potential faunal accumulation agency applied to Tritons Cave (Lleida, Spain)

Differentiating taphonomic features from trampling and dietary microwear, an experimental approach

Computer vision enables taxon-specific identification of African carnivore tooth marks on bone

Computer vision supports primary access to meat by early Homo 1.84 million years ago

Lithic technology at the Early Dabban in Hagfet ed Dabba (Cyrenaica, Libya)

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

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

Distinguishing Discoid and Centripetal Levallois methods through machine learning

Corrigendum to ‘Deep learning improves taphonomic resolution: high accuracy in differentiating tooth marks made by lions and jaguars'

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

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