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Flexible Querying with Fuzzy Projection.

, , and . AWIC, volume 3528 of Lecture Notes in Computer Science, page 120-125. Springer, (2005)

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Consistent Multilabel Ranking through Univariate Losses., , and . ICML, icml.cc / Omnipress, (2012)Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization., , , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 1130-1138. JMLR.org, (2013)Multi-target prediction: a unifying view on problems and methods., , and . Data Min. Knowl. Discov., 33 (2): 293-324 (2019)Propensity-scored Probabilistic Label Trees., , , and . SIGIR, page 2252-2256. ACM, (2021)Set-valued prediction in hierarchical classification with constrained representation complexity., , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1392-1401. PMLR, (2022)On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification., , , and . KDD, page 1547-1557. ACM, (2022)Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values., , , , and . RSCTC, volume 4259 of Lecture Notes in Computer Science, page 224-234. Springer, (2006)Relationship Between Loss Functions and Confirmation Measures., , , and . RSFDGrC, volume 4482 of Lecture Notes in Computer Science, page 338-345. Springer, (2007)Effective Prediction of Web User Behaviour with User-Level Models., , and . Fundam. Informaticae, 89 (2-3): 189-206 (2008)On the computational complexity of the probabilistic label tree algorithms., , , , , , and . CoRR, (2019)