The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
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Citations
Cites
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A new look at the statistical model identification
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LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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Cited by
Machine Learning and Deep Learning Methods for Cybersecurity
Xin, Y., Kong, L., Liu, Z., Chen, Y., Li, Y., Zhu, H., Gao, M., Hou, H., & Wang, C. (2018) · IEEE Access · doi:10.1109/access.2018.2836950 · Cited by 1,228
Review on landslide susceptibility mapping using support vector machines
Huang, Y., & Zhao, L. (2018) · CATENA · doi:10.1016/j.catena.2018.03.003 · Cited by 729
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Youssef, A. M., & Pourghasemi, H. R. (2021) · Geoscience Frontiers · doi:10.1016/j.gsf.2020.05.010 · Cited by 448
A comparative study of machine learning classifiers for modeling travel mode choice
Hagenauer, J., & Helbich, M. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.01.057 · Cited by 424
Metadata
- Authors
- Goetz, J. N., Brenning, A., Petschko, H., & Leopold, P.
- Venue
- Computers & Geosciences
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 81
- Pages
- 1-11
- ISSN
- 0098-3004 (ISSN-L)
- OpenAlex
- W2063987149
- Cited by
- 829
- References
- 62
- FWCI
- 82.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. https://app.cochat.ai/papers/10.1016/j.cageo.2015.04.007
- The paper
- Goetz, J. N., Brenning, A., Petschko, H., & Leopold, P. (2015). Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling. Computers & Geosciences. https://doi.org/10.1016/j.cageo.2015.04.007
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.
