The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Support vector machine for multi-classification of mineral prospectivity areas
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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Friedman, N., Geiger, D., & Goldszmidt, M. (1997) · Machine Learning · doi:10.1023/a:1007465528199 · Cited by 4,742
An assessment of support vector machines for land cover classification
Huang, C., Davis, L. S., & Townshend, J. R. G. (2002) · International Journal of Remote Sensing · doi:10.1080/01431160110040323 · Cited by 1,795
Geological evolution of the tethys belt from the atlantic to the pamirs since the LIAS
Dercourt, J., Zonenshain, L. P., Ricou, L.-E., Kazmin, V. G., Le Pichon, X., Knipper, A. L., Grandjacquet, C., Sbortshikov, I. M., Geyssant, J., Lepvrier, C., et al. (1986) · Tectonophysics · doi:10.1016/0040-1951(86)90199-x · Cited by 1,656
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Convergence history across Zagros (Iran): constraints from collisional and earlier deformation
Agard, P., Omrani, J., Jolivet, L., & Mouthereau, F. (2005) · International Journal of Earth Sciences · doi:10.1007/s00531-005-0481-4 · Cited by 1,021
Cited by
Rodriguez-Galiano, V., Sanchez-Castillo, M., Chica-Olmo, M., & Chica-Rivas, M. (2015) · Ore Geology Reviews · doi:10.1016/j.oregeorev.2015.01.001 · Cited by 1,576
Boateng, E. Y., Otoo, J., & Abaye, D. A. (2020) · Journal of Data Analysis and Information Processing · doi:10.4236/jdaip.2020.84020 · Cited by 462
Carranza, E. J. M., & Laborte, A. G. (2015) · Computers & Geosciences · doi:10.1016/j.cageo.2014.10.004 · Cited by 388
A supervised machine-learning approach towards geochemical predictive modelling in archaeology
Oonk, S., & Spijker, J. (2015) · Journal of Archaeological Science · doi:10.1016/j.jas.2015.04.002 · Cited by 53
Castiello, M. E., & Tonini, M. (2021) · Journal of Computer Applications in Archaeology · doi:10.5334/jcaa.71 · Cited by 29
Metadata
- Authors
- Abedi, M., Norouzi, G.-H., & Bahroudi, A.
- Venue
- Computers & Geosciences
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 46
- Pages
- 272-283
- ISSN
- 0098-3004 (ISSN-L)
- OpenAlex
- W1980789580
- Cited by
- 307
- References
- 30
- FWCI
- 10.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Abedi, M., Norouzi, G.-H., & Bahroudi, A. (2012). Support vector machine for multi-classification of mineral prospectivity areas. Computers & Geosciences. https://doi.org/10.1016/j.cageo.2011.12.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
