The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
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Citations
Cites
SMOTE synthetic minority over-sampling technique
Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002) · Journal of Artificial Intelligence Research · doi:10.1613/jair.953 · Cited by 32,865
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Random forests for classification in ecology
Cutler, D. R., Edwards, T. C., Beard, K. H., Cutler, A., Hess, K. T., Gibson, J., & Lawler, J. J. (2007) · Ecology · doi:10.1890/07-0539.1 · Cited by 4,950
Global Forest Resources Assessment 2020
(2020) · doi:10.4060/ca9825en · Cited by 3,408
The class imbalance problem: A systematic study1
Japkowicz, N., & Stephen, S. (2002) · Intelligent Data Analysis · doi:10.3233/ida-2002-6504 · Cited by 3,295
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
Kuncheva, L. I., & Whitaker, C. J. (2003) · Machine Learning · doi:10.1023/a:1022859003006 · Cited by 2,335
Mapping Selective Logging in Mixed Deciduous Forest
Lippitt, C. D., Rogan, J., Li, Z., Eastman, J. R., & Jones, T. G. (2008) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.74.10.1201 · Cited by 56
Cited by
Overall Methodology Design for the United States National Land Cover Database 2016 Products
Jin, S., Homer, C., Yang, L., Danielson, P., Dewitz, J., Li, C., Zhu, Z., Xian, G., & Howard, D. (2019) · Remote Sensing · doi:10.3390/rs11242971 · Cited by 322
Metadata
- Authors
- Mellor, A., Boukir, S., Haywood, A., & Jones, S.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 105
- Pages
- 155-168
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W1998979050
- Cited by
- 297
- References
- 7
- FWCI
- 19.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2015.03.014
- The paper
- Mellor, A., Boukir, S., Haywood, A., & Jones, S. (2015). Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2015.03.014
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.
