Multi-Label Classification
Grigorios Tsoumakas, Ioannis Katakis
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- A Review on Multi-Label Learning Algorithms→Multi-Label ClassificationLegacy edge — source detail unavailable
- Classifier chains for multi-label classification→Multi-Label ClassificationLegacy edge — source detail unavailable
- Ensemble deep learning: A review→Multi-Label ClassificationLegacy edge — source detail unavailable
- Mining Multi-label Data→Multi-Label ClassificationLegacy edge — source detail unavailable
- Multi-Label Classification→C4.5: Programs for Machine LearningLegacy edge — source detail unavailable
- Multi-Label Classification→Advances in kernel methods: support vector learningLegacy edge — source detail unavailable
- Multi-Label Classification→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Multi-Label Classification→Estimating Continuous Distributions in Bayesian ClassifiersLegacy edge — source detail unavailable
- Multi-Label Classification→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
- Multi-Label Classification→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- Classifier chains for multi-label classification→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- A Review on Multi-Label Learning Algorithms→Classifier chains for multi-label classificationLegacy edge — source detail unavailable
- A Review on Multi-Label Learning Algorithms→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- A Review on Multi-Label Learning Algorithms→Mining Multi-label DataLegacy edge — source detail unavailable
- Ensemble deep learning: A review→Classifier chains for multi-label classificationLegacy edge — source detail unavailable
- Mining Multi-label Data→BoosTexter: A Boosting-based System for Text CategorizationLegacy edge — source detail unavailable
- Mining Multi-label Data→RCV1: A New Benchmark Collection for Text Categorization ResearchLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| A Review on Multi-Label Learning Algorithms | 2013 | 3,375 |
| Classifier chains for multi-label classification | 2011 | 2,307 |
| Ensemble deep learning: A review | 2022 | 2,136 |
| Mining Multi-label Data | 2009 | 1,410 |
Links
Topics
| Text and Document Classification Technologies | Computer Science |
| Machine Learning in Bioinformatics | Biochemistry, Genetics and Molecular Biology |
| Algorithms and Data Compression | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports22 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 a2172c1bbe00c44b…