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- Conference Paper
- C1
- open access
On second-order scoring rules for epistemic uncertainty quantification
(2023) Proceedings of the 40th International Conference on Machine Learning. In PMLR 202. p.2078-2091 -
- Conference Paper
- C1
- open access
On the calibration of probabilistic classifier sets
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Pitfalls of epistemic uncertainty quantification through loss minimisation
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- Conference Paper
- C1
- open access
Set-valued prediction in hierarchical classification with constrained representation complexity
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Multi-target prediction : a unifying view on problems and methods
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- Conference Paper
- C3
- open access
Set-Valued Prediction in Multi-Class Classification
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- Conference Paper
- C1
- open access
Consistency of probabilistic classifier trees
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Special issue celebrating the 50th anniversary of fuzzy sets
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- Journal Article
- A1
- open access
On the Bayes-optimality of F-measure maximizers
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Identification of functionally related enzymes by learning-to-rank methods
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- Conference Paper
- C1
- open access
Optimizing the F-measure in multi-label classification : plug-in rule approach versus structured loss minimization
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- Conference Paper
- P1
- open access
An analysis of chaining in multi-label classification
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On label dependence and loss minimization in multi-label classification
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- Conference Paper
- C1
- open access
Label ranking with partial abstention based on thresholded probabilistic models
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F-Measure maximization in topical classification
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- Conference Paper
- C1
- open access
Joint mode estimation in multi-label classification by chaining
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An exact algorithm for F-measure maximization
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- Conference Paper
- C1
- open access
An exact algorithm for F-measure maximization
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- Conference Paper
- C1
- open access
Regret analysis for performance metrics in multi-label classification: the case of Hamming and subset zero-one loss
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- Conference Paper
- C1
- open access
On label dependence in multilabel classification