The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
On the k-NN performance in a challenging scenario of imbalance and overlapping
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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
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
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
When Is ''Nearest Neighbor'' Meaningful?
Beyer, K., Goldstein, J., Ramakrishnan, R., & Shaft, U. (1999) · Lecture Notes in Computer Science · doi:10.1007/3-540-49257-7_15 · Cited by 2,403
Using AUC and accuracy in evaluating learning algorithms
Huang, J., & Ling, C. X. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.50 · Cited by 2,148
Cited by
On the use of MapReduce for imbalanced big data using Random Forest
del Río, S., López, V., Benítez, J. M., & Herrera, F. (2014) · Information Sciences · doi:10.1016/j.ins.2014.03.043 · Cited by 328
Types of minority class examples and their influence on learning classifiers from imbalanced data
Napierala, K., & Stefanowski, J. (2016) · Journal of Intelligent Information Systems · doi:10.1007/s10844-015-0368-1 · Cited by 290
Metadata
- Authors
- García, V., Mollineda, R. A., & Sánchez, J. S.
- Venue
- Pattern Analysis and Applications
- Published
- 2007-09-28
- Volume
- 11
- Issue
- 3-4
- Pages
- 269-280
- ISSN
- 1433-7541 (ISSN-L)
- 1433-755X
- OpenAlex
- W2045042261
- Cited by
- 219
- References
- 7
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: On the k-NN performance in a challenging scenario of imbalance and overlapping. https://app.cochat.ai/papers/10.1007/s10044-007-0087-5
- The paper
- García, V., Mollineda, R. A., & Sánchez, J. S. (2008). On the k-NN performance in a challenging scenario of imbalance and overlapping. Pattern Analysis and Applications. https://doi.org/10.1007/s10044-007-0087-5
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.
