The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Evolutionary rule-based systems for imbalanced data sets
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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
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
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
A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
Friedman, M. (1940) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177731944 · Cited by 2,785
Mining with rarity: a unifying framework
Weiss, G. M. (2004) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1007730.1007734 · Cited by 1,393
Cited by
Ramentol, E., Caballero, Y., Bello, R., & Herrera, F. (2012) · Knowledge and Information Systems · doi:10.1007/s10115-011-0465-6 · Cited by 489
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
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Zhang, C., Tan, K. C., Li, H., & Hong, G. S. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2018.2832648 · Cited by 282
Metadata
- Authors
- Orriols-Puig, A., & Bernadó-Mansilla, E.
- Venue
- Soft Computing
- Published
- 2008-05-27
- Volume
- 13
- Issue
- 3
- Pages
- 213-225
- ISSN
- 1432-7643 (ISSN-L)
- 1433-7479
- OpenAlex
- W2106136950
- Cited by
- 198
- References
- 6
- FWCI
- 25.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Evolutionary rule-based systems for imbalanced data sets. https://app.cochat.ai/papers/10.1007/s00500-008-0319-7
- The paper
- Orriols-Puig, A., & Bernadó-Mansilla, E. (2009). Evolutionary rule-based systems for imbalanced data sets. Soft Computing. https://doi.org/10.1007/s00500-008-0319-7
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.
