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Learning multi-label scene classification
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Cited by
Deep Learning for Extreme Multi-label Text Classification
Liu, J., Chang, W.-C., Wu, Y., & Yang, Y. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3077136.3080834 · Cited by 676
Machine learning in medical applications: a review of state-of-the-art methods
Shehab, M., Abualigah, L., Shambour, Q., Abu-Hashem, M. A., Shambour, M. K. Y., Alsalibi, A. I., & Gandomi, A. H. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105458 · Cited by 542
Presence-Only Geographical Priors for Fine-Grained Image Classification
Aodha, O. M., Cole, E., & Perona, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00969 · Cited by 149
A Novel Approach for Multi-Label Chest X-Ray Classification of Common Thorax Diseases
Allaouzi, I., & Ben Ahmed, M. (2019) · IEEE Access · doi:10.1109/access.2019.2916849 · Cited by 126
Suri, J. S., Bhagawati, M., Paul, S., Protogerou, A. D., Sfikakis, P. P., Kitas, G. D., Khanna, N. N., Ruzsa, Z., Sharma, A. M., Saxena, S., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12030722 · Cited by 55
Metadata
- Authors
- Boutell, M. R., Luo, J., Shen, X., & Brown, C. M.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2004-09
- Volume
- 37
- Issue
- 9
- Pages
- 1757-1771
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2156935079
- Cited by
- 2,296
- References
- 0
- FWCI
- 12.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Learning multi-label scene classification. https://app.cochat.ai/papers/10.1016/j.patcog.2004.03.009
- The paper
- Boutell, M. R., Luo, J., Shen, X., & Brown, C. M. (2004). Learning multi-label scene classification. Pattern Recognition. https://doi.org/10.1016/j.patcog.2004.03.009
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.