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| Kuhn, S and Cracknell, MJ and Reading, AM and Sykora, S, “Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: the value of using a soft classifier”, Geophysics, 85 (6) pp. B249-B258. ISSN 0016-8033 (2020) [Refereed Article] | |
| Data Type | Value |
|---|---|
| Type of Research | Applied Research |
| Research Division | Earth Sciences |
| Research Group | Geology |
| Research Field | Geology not elsewhere classified |
| Research Objective Division | Mineral Resources (Excl. Energy Resources) |
| Research Objective Group | Mineral exploration |
| Research Objective Field | Copper ore exploration |
| Visit Item on eCite | http://ecite.utas.edu.au/141317 |
| Digital Object Identifier | doi:10.1190/geo2019-0461.1 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 7 |
| Number of Downloads | 17 |