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2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes

08.18.21 | PLOS

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2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes.

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Article Title: Sexing Caucasian 2D footprints using convolutional neural networks

Funding: The authors received no specific funding for this work.

Competing Interests: The authors have declared that no competing interests exist.


Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0255630

PLOS ONE

10.1371/journal.pone.0255630

Experimental study

People

Sexing Caucasian 2D footprints using convolutional neural networks

18-Aug-2021

The authors have declared that no competing interests exist.

Keywords

Article Information

Contact Information

Charlotte Bhaskar
onepress@plos.org

How to Cite This Article

APA:
PLOS. (2021, August 18). 2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes. Brightsurf News. https://www.brightsurf.com/news/147700J1/2d-footprints-can-be-sexed-with-up-to-90-percent-accuracy-by-machine-learning-algorithm-outperforming-experts-for-forensic-and-anthropological-purposes.html
MLA:
"2D footprints can be sexed with up to 90 percent accuracy by machine learning algorithm, outperforming experts, for forensic and anthropological purposes." Brightsurf News, Aug. 18 2021, https://www.brightsurf.com/news/147700J1/2d-footprints-can-be-sexed-with-up-to-90-percent-accuracy-by-machine-learning-algorithm-outperforming-experts-for-forensic-and-anthropological-purposes.html.