Revisiting metric sex estimation of burnt human remains via supervised learning using a reference collection of modern identified cremated individuals (Knoxville, USA).

Objectives: This study aims to increase the rate of correctly sexed calcined individuals from archaeological and forensic contexts. This is achieved by evaluating sexual dimorphism of commonly used and new skeletal elements via uni‐ and multi‐variate metric trait analyses. Materials and methods: Twe...

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Bibliographic Details

Published in:	American Journal of Physical Anthropology Vol. 175; no. 4; pp. 777 - 794
Main Authors:	Hlad, Marta, Veselka, Barbara, Steadman, Dawnie Wolfe, Herregods, Baptiste, Elskens, Marc, Annaert, Rica, Boudin, Mathieu, Capuzzo, Giacomo, Dalle, Sarah, De Mulder, Guy, Sabaux, Charlotte, Salesse, Kevin, Sengeløv, Amanda, Stamataki, Elisavet, Vercauteren, Martine, Warmenbol, Eugène, Tys, Dries, Snoeck, Christophe
Format:	Article
Published:	Wiley-Blackwell Aug2021
Subjects:	Sex determination of human remains Supervised learning Sexual dimorphism Neural circuitry Random forest algorithms
Online Access:	View this record in EBSCOhost