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Items where Author is "Kuhn, SD"
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Number of items: 8.
Article
Eshaghi, E, Reading, AM
ORCID: 0000-0002-9316-7605, Roach, M
ORCID: 0000-0001-8085-7693, Duffett, M, Bombardieri, D, Cracknell, M
ORCID: 0000-0001-9843-8251, Everard, JL, Cumming, G and Kuhn, SD
ORCID: 0000-0002-0742-9681 2020
, 'Inverse modeling constrained by potential field data, petrophysics, and improved geologic mapping: A case study from prospective northwest Tasmania'
, Geophysics, vol. 85, no. 5
, K13-K26
, doi: https://doi.org/10.1190/geo2019-0636.1.




Gregory, DD, Cracknell, MJ
ORCID: 0000-0001-9843-8251, Large, RR, McGoldrick, P, Kuhn, SD
ORCID: 0000-0002-0742-9681, Maslennikov, VV, Baker, MJ
ORCID: 0000-0002-8050-7631, Fox, N, Belousov, I, Figueroa, MC, Steadman, JA
ORCID: 0000-0003-4679-3643, Fabris, AJ and Lyons, TW 2019
, 'Distinguishing ore deposit type and barren sedimentary pyrite using laser ablation-inductively coupled plasma-mass spectrometry trace element data and statistical analysis of large data sets'
, Economic Geology, vol. 114, no. 4
, pp. 771-786
, doi: https://doi.org/10.5382/econgeo.4654.




Kuhn, SD
ORCID: 0000-0002-0742-9681, Cracknell, MJ
ORCID: 0000-0001-9843-8251 and Reading, AM
ORCID: 0000-0002-9316-7605 2018
, 'Lithologic mapping using Random Forests applied to geophysical and remote-sensing data: a demonstration study from the Eastern Goldfields of Australia'
, Geophysics, vol. 83, no. 5
, pp. 183-193
, doi: https://doi.org/10.1190/GEO2017-0590.1.



Kuhn, SD
ORCID: 0000-0002-0742-9681, Cracknell, MJ
ORCID: 0000-0001-9843-8251 and Reading, AM
ORCID: 0000-0002-9316-7605 2019
, 'Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results'
, Ore Geology Reviews, vol. 112
, pp. 1-16
, doi: https://doi.org/10.1016/j.oregeorev.2019.103015.



Kuhn, SD
ORCID: 0000-0002-0742-9681, Cracknell, MJ
ORCID: 0000-0001-9843-8251, Reading, AM
ORCID: 0000-0002-9316-7605 and Sykora, S 2020
, 'Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using Random Forests: the value of using a soft classifier'
, Geophysics
, pp. 1-46
, doi: https://doi.org/10.1190/geo2019-0461.1.



Conference or Workshop Item
Gregory, DD, Cracknell, MJ
ORCID: 0000-0001-9843-8251, Large, RR, McGoldrick, P, Kuhn, SD
ORCID: 0000-0002-0742-9681, Baker, MJ
ORCID: 0000-0002-8050-7631, Fox, N, Belousov, I, Steadman, JA
ORCID: 0000-0003-4679-3643, Fabris, AJ, Maslennikov, VV, Lyons, TW and Figueroa, MC 2019
, 'A comparison of random forests and cluster analysis to identify ore deposits type using LA-ICPMS analysis of pyrite', paper presented at the 15th SGA Biennial Meeting, 27-30 August 2018, Glasgow, Scotland.




Kuhn, SD
ORCID: 0000-0002-0742-9681, Cracknell, MJ
ORCID: 0000-0001-9843-8251 and Reading, AM
ORCID: 0000-0002-9316-7605 2018
, 'The utility of machine learning in identification of key geophysical and geochemical datasets: a case study in lithological mapping in the Central African copper belt', paper presented at the Australasian Exploration Geoscience Conference, 18-21 February 2018, Sydney, Australia.



Thesis
Kuhn, SD
ORCID: 0000-0002-0742-9681 2021
, 'Machine learning for mineral exploration: prediction and quantified uncertainty at multiple exploration stages', PhD thesis, University of Tasmania.

This list was generated on Wed Mar 29 02:08:55 2023 AEDT.