The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Evaluation of neural networks and data mining methods on a credit assessment task for class imbalance problem
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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
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
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
The KDD process for extracting useful knowledge from volumes of data
Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996) · Communications of the ACM · doi:10.1145/240455.240464 · Cited by 1,934
Cited by
Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research
Lessmann, S., Baesens, B., Seow, H.-V., & Thomas, L. C. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.05.030 · Cited by 1,284
ACO Resampling: Enhancing the performance of oversampling methods for class imbalance classification
Li, M., Xiong, A., Wang, L., Deng, S., & Ye, J. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.105818 · Cited by 66
Classification with LSTM Networks in User Behaviour Analytics with Unbalanced Environment
Parshutin, S., Kirshners, A., Kornijenko, Y., Zabiniako, V., Gasparovica-Asite, M., & Rozkalns, A. (2021) · Automatic Control and Computer Sciences · doi:10.3103/s0146411621010077 · Cited by 7
Metadata
- Authors
- Huang, Y.-M., Hung, C.-M., & Jiau, H. C.
- Venue
- Nonlinear Analysis: Real World Applications
- Publisher
- Elsevier BV
- Published
- 2006-09
- Volume
- 7
- Issue
- 4
- Pages
- 720-747
- ISSN
- 1468-1218 (ISSN-L)
- OpenAlex
- W2017416182
- Cited by
- 161
- References
- 5
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Evaluation of neural networks and data mining methods on a credit assessment task for class imbalance problem. https://app.cochat.ai/papers/10.1016/j.nonrwa.2005.04.006
- The paper
- Huang, Y.-M., Hung, C.-M., & Jiau, H. C. (2006). Evaluation of neural networks and data mining methods on a credit assessment task for class imbalance problem. Nonlinear Analysis: Real World Applications. https://doi.org/10.1016/j.nonrwa.2005.04.006
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.
