Testing the limits of AI and machine learning for quantitative taphonomy. Skeletal-part representation as a proxy for the origins of human deposition

Please use this identifier to cite or link to this item: https://cir.cenieh.es/handle/20.500.12136/3538

Full metadata record

DC Field	Value	Language
dc.contributor.author	Grabbe, Jonas	-
dc.contributor.author	Pantoja-Pérez, Ana	-
dc.contributor.author	Serrano-Mamolar, Ana	-
dc.contributor.author	Canepa-Oneto, Antonio	-
dc.contributor.author	Sala, Nohemi	-
dc.date.accessioned	2025	-
dc.date.accessioned	2025-11-14T07:29:38Z	-
dc.date.issued	2025-11	-
dc.identifier.citation	PaleoAnthropology, 2025(2), p.504	es_ES
dc.identifier.uri	https://cir.cenieh.es/handle/20.500.12136/3538	-
dc.description	15TH ANNUAL MEETING OF THE EUROPEAN SOCIETY FOR THE STUDY OF HUMAN EVOLUTION ABSTRACTS. Paris, 25-27 SEPTEMBER 2025	es_ES
dc.language.iso	en	es_ES
dc.rights	info:eu-repo/semantics/openAccess	es_ES
dc.rights	Attribution-NonCommercial 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/	*
dc.title	Testing the limits of AI and machine learning for quantitative taphonomy. Skeletal-part representation as a proxy for the origins of human deposition	es_ES
dc.type	Presentation	es_ES
dc.type	Other	es_ES
dc.identifier.doi	10.48738/2025.iss2	-
dc.relation.publisherversion	https://www.eshe.eu/meetings/	es_ES
dc.date.available	2025-11-14T07:29:38Z	-
Appears in Collections:	Congresos, encuentros científicos y estancias de investigación