The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multilabel classification via calibrated label ranking
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Citations
Cites
Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
McNemar, Q. (1947) · Psychometrika · doi:10.1007/bf02295996 · Cited by 4,754
Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Bradley, R. A., & Terry, M. E. (1952) · Biometrika · doi:10.2307/2334029 · Cited by 2,412
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
A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation.
Singh, G., Marshall, I. J., Thomas, J., Shawe-Taylor, J., & Wallace, B. C. (2017) · Proceedings of the 2017 ACM on Conference on Information and Knowledge Management · doi:10.1145/3132847.3132989 · Cited by 11
Wang, H., Xu, Y., Chen, Q., & Wang, X. (2021) · Applied Intelligence · doi:10.1007/s10489-020-01824-y · Cited by 9
Singh, G., Sabet, Z., Shawe-Taylor, J., & Thomas, J. (2021) · Studies in Computational Intelligence · doi:10.1007/978-3-030-53352-6_12 · Cited by 7
Metadata
- Authors
- Fürnkranz, J., Hüllermeier, E., Loza Mencía, E., & Brinker, K.
- Venue
- Machine Learning
- Published
- 2008-08-06
- Volume
- 73
- Issue
- 2
- Pages
- 133-153
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2166912588
- Cited by
- 909
- References
- 2
- FWCI
- 25.44
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.
