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bony labyrinth (11) , inner ear (10) , Eocene (8) , South America (8) , Paleobiogeography (7) , skull (7) , phylogeny (6)
Lionel Hautier (21) , Maëva Judith Orliac (19) , Laurent Marivaux (14) , Bastien Mennecart (12) , Pierre-Olivier Antoine (11) , Renaud Lebrun (10) , Rodolphe Tabuce (10)
MorphoMuseuM Volume 08, issue 02
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3D dataset3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus caniculaFidji Berio , Yann Bayle , Sylvie Agret, Daniel Baum , Nicolas Goudemand and Mélanie Debiais-ThibaudPublished online: 24/05/2022Keywords: geometric morphometrics; machine learning; Scyliorhinus canicula; sharks; tooth morphology https://doi.org/10.18563/journal.m3.164 References: 18 Cited by: 1 Cite this article: Fidji Berio, Yann Bayle, Sylvie Agret, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud, 2022. 3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula. MorphoMuseuM 8:164. doi: 10.18563/journal.m3.164 Export citationAbstractThe present dataset contains the 3D models analyzed in Berio, F., Bayle, Y., Baum, D., Goudemand, N., and Debiais-Thibaud, M. 2022. Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula. It contains the head surfaces of 56 North Atlantic and Mediterranean small-spotted catsharks Scyliorhinus canicula, from which tooth surfaces were further extracted to perform geometric morphometrics and machine learning. Specimens and 3D DataScyliorhinus canicula 081118A View specimen
Scyliorhinus canicula 081118B View specimen
Scyliorhinus canicula 200118I View specimen
Scyliorhinus canicula 200118H View specimen
Scyliorhinus canicula 200118G View specimen
Scyliorhinus canicula 081118C View specimen
Scyliorhinus canicula 081118D View specimen
Scyliorhinus canicula 081118E View specimen
Scyliorhinus canicula 081118F View specimen
Scyliorhinus canicula 081118G View specimen
Scyliorhinus canicula 200118F View specimen
Scyliorhinus canicula 200118E View specimen
Scyliorhinus canicula 200118D View specimen
Scyliorhinus canicula 200118C View specimen
Scyliorhinus canicula 200118B View specimen
Scyliorhinus canicula 200118A View specimen
Scyliorhinus canicula 030418A View specimen
Scyliorhinus canicula 030418B View specimen
Scyliorhinus canicula 030418C View specimen
Scyliorhinus canicula 030418D View specimen
Scyliorhinus canicula 071118A View specimen
Scyliorhinus canicula 071118B View specimen
Scyliorhinus canicula 071118C View specimen
Scyliorhinus canicula 071118D View specimen
Scyliorhinus canicula 071118E View specimen
Scyliorhinus canicula 071118F View specimen
Scyliorhinus canicula 121118G View specimen
Scyliorhinus canicula 121118H View specimen
Scyliorhinus canicula 121118I View specimen
Scyliorhinus canicula 121118J View specimen
Scyliorhinus canicula 180118A View specimen
Scyliorhinus canicula 180118B View specimen
Scyliorhinus canicula 180118C View specimen
Scyliorhinus canicula 180118D View specimen
Scyliorhinus canicula 180118E View specimen
Scyliorhinus canicula 180118F View specimen
Scyliorhinus canicula 270918A View specimen
Scyliorhinus canicula 270918B View specimen
Scyliorhinus canicula 270918C View specimen
Scyliorhinus canicula 270918D View specimen
Scyliorhinus canicula 12111931 View specimen
Scyliorhinus canicula 12111933 View specimen
Scyliorhinus canicula 190118A View specimen
Scyliorhinus canicula 190118C View specimen
Scyliorhinus canicula 190118D View specimen
Scyliorhinus canicula 190118F View specimen
Scyliorhinus canicula 060718A View specimen
Scyliorhinus canicula 060718B View specimen
Scyliorhinus canicula 060718C View specimen
Scyliorhinus canicula 060718D View specimen
Scyliorhinus canicula 060718E View specimen
Scyliorhinus canicula 060718F View specimen
Scyliorhinus canicula 121218A View specimen
Scyliorhinus canicula 121218B View specimen
Scyliorhinus canicula 121218C View specimen
Scyliorhinus canicula 121218D View specimen
See original publication Published in Volume 08, issue 02 (2022) ReferencesArcher, K. J. and Kimes, R. V., 2008. ‘Empirical characterization of random forest variable importance measures’, Computational Statistics and Data Analysis. North-Holland, 52(4), 2249–2260. https://doi.org/10.1016/j.csda.2007.08.015 Cited by:Fidji Berio, Yann Bayle, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud (2022). Hide and seek shark teeth in Random Forests: machine learning applied to Scyliorhinus canicula populations. PeerJ. https://doi.org/10.7717/peerj.13575 |
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