The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Effective data generation for imbalanced learning using conditional generative adversarial networks
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Citations
Cites
Adam: A Method for Stochastic Optimization
Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
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
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
(2005) · Statistics for Biology and Health · doi:10.1007/0-387-27255-0_9 · Cited by 20,133
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GAN（Generative Adversarial Nets）
(2017) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.29.5_177_2 · Cited by 19,270
Nearest neighbor pattern classification
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Cited by
Machine Learning for industrial applications: A comprehensive literature review
Bertolini, M., Mezzogori, D., Neroni, M., & Zammori, F. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114820 · Cited by 553
Differential Privacy Has Disparate Impact on Model Accuracy
Bagdasaryan, E., & Shmatikov, V. (2019) · arXiv · doi:10.48550/arxiv.1905.12101 · Cited by 219
Zhou, N.-R., Zhang, T.-F., Xie, X.-W., & Wu, J.-Y. (2023) · Signal Processing Image Communication · doi:10.1016/j.image.2022.116891 · Cited by 161
Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter
Wu, B., Liu, L., Yang, Y., Zheng, K., & Wang, X. (2020) · IEEE Access · doi:10.1109/access.2020.2975630 · Cited by 54
DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
Yang, Y., Fu, H., Aviles-Rivero, A. I., Xing, Z., & Zhu, L. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3530399 · Cited by 41
Metadata
- Authors
- Douzas, G., & Bacao, F.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 91
- Pages
- 464-471
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2756182389
- Cited by
- 601
- References
- 47
- FWCI
- 21.98
- Type
- journal article
- Language
- en
- Open access
- closed
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- Douzas, G., & Bacao, F. (2018). Effective data generation for imbalanced learning using conditional generative adversarial networks. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2017.09.030
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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.
