The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Deep discriminative transfer learning network for cross-machine fault diagnosis
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Cites
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Domain-Adversarial Training of Neural Networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V. (2017) · Advances in Computer Vision and Pattern Recognition · doi:10.1007/978-3-319-58347-1_10 · Cited by 8,318
Learning Transferable Features with Deep Adaptation Networks
Long, M., Cao, Y., Wang, J., & Jordan, M. I. (2015) · arXiv · doi:10.48550/arxiv.1502.02791 · Cited by 4,505
Learning a Similarity Metric Discriminatively, with Application to Face Verification
Chopra, S., Hadsell, R., & LeCun, Y. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.202 · Cited by 4,036
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
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CosFace: Large Margin Cosine Loss for Deep Face Recognition
Wang, H., Wang, Y., Zhou, Z., Ji, X., Gong, D., Zhou, J., Li, Z., & Liu, W. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00552 · Cited by 3,034
Self-citationSmith, W. A., & Randall, R. B. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.04.021 · Cited by 2,719
Deep domain confusion Maximizing for domain invariance
Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., & Darrell, T. (2014) · arXiv · doi:10.48550/arxiv.1412.3474 · Cited by 2,285
SphereFace: Deep Hypersphere Embedding for Face Recognition
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Metadata
- Authors
- Qian, Q., Qin, Y., Luo, J., Wang, Y., & Wu, F.
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 186
- Pages
- 109884
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W4307567853
- Cited by
- 394
- References
- 27
- FWCI
- 30.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Deep discriminative transfer learning network for cross-machine fault diagnosis. https://app.cochat.ai/papers/10.1016/j.ymssp.2022.109884
- The paper
- Qian, Q., Qin, Y., Luo, J., Wang, Y., & Wu, F. (2023). Deep discriminative transfer learning network for cross-machine fault diagnosis. Mechanical Systems and Signal Processing. https://doi.org/10.1016/j.ymssp.2022.109884
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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.
