Geochemical fingerprinting of coltan ores by machine learning on uneven data sets
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Geochemical fingerprinting of coltan ores by machine learning on uneven data sets. / Savu-Krohn, Christian; Rantitsch, Gerd; Auer, Peter; Melcher, Frank; Graupner, Torsten.
In: Natural Resources Research, Vol. 20, 2011, p. 177-191.Research output: Contribution to journal › Article › Research › peer-review
Harvard
Savu-Krohn, C, Rantitsch, G, Auer, P, Melcher, F & Graupner, T 2011, 'Geochemical fingerprinting of coltan ores by machine learning on uneven data sets' Natural Resources Research, vol. 20, pp. 177-191.
APA
Savu-Krohn, C., Rantitsch, G., Auer, P., Melcher, F., & Graupner, T. (2011). Geochemical fingerprinting of coltan ores by machine learning on uneven data sets. Natural Resources Research, 20, 177-191.
Vancouver
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Bibtex - Download
@article{cc5e4bd4bb3a475e91dd5ceb2c6082ce,
title = "Geochemical fingerprinting of coltan ores by machine learning on uneven data sets",
author = "Christian Savu-Krohn and Gerd Rantitsch and Peter Auer and Frank Melcher and Torsten Graupner",
year = "2011",
language = "English",
volume = "20",
pages = "177--191",
journal = "Natural Resources Research",
issn = "1520-7439",
publisher = "Springer Netherlands",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Geochemical fingerprinting of coltan ores by machine learning on uneven data sets
AU - Savu-Krohn, Christian
AU - Rantitsch, Gerd
AU - Auer, Peter
AU - Melcher, Frank
AU - Graupner, Torsten
PY - 2011
Y1 - 2011
M3 - Article
VL - 20
SP - 177
EP - 191
JO - Natural Resources Research
JF - Natural Resources Research
SN - 1520-7439
ER -
