article Open AccessTop 1% cited
Multilabel classification via calibrated label ranking
Machine Learning · 2008 · Vol. 73(2) · pp. 133–153
Johannes Fürnkranz✉(Technical University of Darmstadt)Eyke Hüllermeier(Philipps University of Marburg)Eneldo Loza Mencía(Technical University of Darmstadt)Klaus Brinker(Philipps University of Marburg)
Text and Document Classification TechnologiesMachine Learning in BioinformaticsImage Retrieval and Classification TechniquesPairwise comparisonArtificial intelligenceRanking (information retrieval)Machine learningComputer scienceClassifier (UML)Multi-label classificationCategorizationPreference learningPattern recognition (psychology)
Funding
- Deutsche Forschungsgemeinschaft
Citations
900
FWCI
28.34
field-weighted impact
References
60
Percentile
100%
vs. same field & year
Citations per year
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References
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BoosTexter: A Boosting-based System for Text Categorization
Machine Learning · 2000 · 2,181 citations
Learning multi-label scene classification
Pattern Recognition · 2004 · 2,279 citations
Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
Biometrika · 1952 · 2,354 citations
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning · 1999 · 1,951 citations
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