The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
The class imbalance problem in deep learning
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Citations
Cites
ImageNet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Focal Loss for Dense Object Detection
Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.324 · Cited by 30,581
Learning Multiple Layers of Features from Tiny Images
Krizhevsky, A. (2024) · doi:10.57702/zp44cu3g · Cited by 23,395
Auto-Encoding Variational Bayes
Kingma, D. P., & Welling, M. (2013) · arXiv · doi:10.48550/arxiv.1312.6114 · Cited by 20,067
(2010) · Cited by 14,134
Advances in Neural Information Processing Systems 25
Zhang, Y., Sutton, C. A., Storkey, A., & Zoubin Ghahramani, A. (2012) · Cited by 12,653
Striving for Simplicity: The All Convolutional Net
Springenberg, J. T., Dosovitskiy, A., Brox, T., & Riedmiller, M. (2014) · arXiv · doi:10.48550/arxiv.1412.6806 · Cited by 3,447
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
Self-citation
Cited by
Edge Computing-Based Ensemble Learning Model for Health Care Decision Systems
Vincent, A. C. S. R., & Sengan, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-78225-5 · Cited by 23
Detecting Interspecific Positive Selection Using Convolutional Neural Networks
West, C., Walker, C. R., Arasti, S., Vasilev, V., Xu, X., De Maio, N., & Goldman, N. (2025) · Molecular Biology and Evolution · doi:10.1093/molbev/msaf154 · Cited by 1
Metadata
- Authors
- Ghosh, K., Bellinger, C., Corizzo, R., Branco, P., Krawczyk, B., & Japkowicz, N.
- Venue
- Machine Learning
- Published
- 2022-12-28
- Volume
- 113
- Issue
- 7
- Pages
- 4845-4901
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W4313421210
- Cited by
- 312
- References
- 73
- FWCI
- 15.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: The class imbalance problem in deep learning. https://app.cochat.ai/papers/10.1007/s10994-022-06268-8
- The paper
- Ghosh, K., Bellinger, C., Corizzo, R., Branco, P., Krawczyk, B., & Japkowicz, N. (2024). The class imbalance problem in deep learning. Machine Learning. https://doi.org/10.1007/s10994-022-06268-8
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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.
