The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Mapping landslide susceptibility using data-driven methods
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Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
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An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879
THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
FISHER, R. A. (1936) · Annals of Eugenics · doi:10.1111/j.1469-1809.1936.tb02137.x · Cited by 15,227
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013) · Wiley Series in Probability and Statistics · doi:10.1002/9781118548387 · Cited by 13,861
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
Matthews, B. W. (1975) · Biochimica et Biophysica Acta (BBA) - Protein Structure · doi:10.1016/0005-2795(75)90109-9 · Cited by 5,399
AUC: A misleading measure of the performance of predictive distribution models
Lobo, J. M., Jiménez‐Valverde, A., & Real, R. (2008) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00358.x · Cited by 3,499
The Regression Analysis of Binary Sequences
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Cited by
Deep learning-based landslide susceptibility mapping
Azarafza, M., Azarafza, M., Akgün, H., Atkinson, P. M., & Derakhshani, R. (2021) · Scientific Reports · doi:10.1038/s41598-021-03585-1 · Cited by 412
Fang, Z., Wang, Y., Peng, L., & Hong, H. (2020) · Computers & Geosciences · doi:10.1016/j.cageo.2020.104470 · Cited by 322
Comparative study of landslide susceptibility mapping with different recurrent neural networks
Wang, Y., Fang, Z., Wang, M., Peng, L., & Hong, H. (2020) · Computers & Geosciences · doi:10.1016/j.cageo.2020.104445 · Cited by 268
Castiello, M. E., & Tonini, M. (2021) · Journal of Computer Applications in Archaeology · doi:10.5334/jcaa.71 · Cited by 29
Metadata
- Authors
- Zêzere, J. L., Pereira, S., Melo, R., Oliveira, S. C., & Garcia, R. A. C.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 589
- Pages
- 250-267
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W2592104387
- Cited by
- 344
- References
- 45
- FWCI
- 43.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mapping landslide susceptibility using data-driven methods. https://app.cochat.ai/papers/10.1016/j.scitotenv.2017.02.188
- The paper
- Zêzere, J. L., Pereira, S., Melo, R., Oliveira, S. C., & Garcia, R. A. C. (2017). Mapping landslide susceptibility using data-driven methods. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2017.02.188
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.
