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Comparative evaluation of four multi‐label classification algorithms in classifying learning objects

https://doi.org/10.1002/cae.21743
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Protein Classification with Multiple Algorithms
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Knowledge Discovery in Multi-label Phenotype Data
inferredcites →https://doi.org/10.1007/978-0-387-09823-4_34openalex-snapshot
Mining Multi-label Data
inferredcites →https://doi.org/10.1007/978-3-642-03223-3_10openalex-snapshot
Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques
inferredcites →https://doi.org/10.1007/978-3-642-04174-7_17openalex-snapshot
Classifier Chains for Multi-label Classification
inferredcites →https://doi.org/10.1007/978-3-642-19644-7_55openalex-snapshot
A System for Multi-label Classification of Learning Objects
inferredcites →https://doi.org/10.1007/s10994-008-5064-8openalex-snapshot
Multilabel classification via calibrated label ranking
inferredcites →https://doi.org/10.1007/s10994-011-5256-5openalex-snapshot
Classifier chains for multi-label classification
inferredcites →https://doi.org/10.1016/j.artint.2008.08.002openalex-snapshot
Label ranking by learning pairwise preferences
inferredcites →https://doi.org/10.1016/j.patcog.2004.03.009openalex-snapshot
Learning multi-label scene classification
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.019openalex-snapshot
ML-KNN: A lazy learning approach to multi-label learning
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1023/a:1009982220290openalex-snapshot
An Evaluation of Statistical Approaches to Text Categorization
inferredcites →https://doi.org/10.1081/e-elis4-120043530openalex-snapshot
Dublin Core Metadata Initiative (DCMI): A Personal History
inferredcites →https://doi.org/10.1093/bioinformatics/btk048openalex-snapshot
Hierarchical multi-label prediction of gene function
inferredcites →https://doi.org/10.1109/icdm.2008.74openalex-snapshot
Multi-label Classification Using Ensembles of Pruned Sets
inferredcites →https://doi.org/10.1109/tkde.2006.162openalex-snapshot
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
inferredcites →https://doi.org/10.1109/tkde.2010.164openalex-snapshot
Random k-Labelsets for Multilabel Classification
inferredcites →https://doi.org/10.1145/1076034.1076082openalex-snapshot
Multi-labelled classification using maximum entropy method
inferredcites →https://doi.org/10.1145/1291233.1291245openalex-snapshot
Correlative multi-label video annotation
inferredcites →https://doi.org/10.1201/b16017openalex-snapshot
Multi-Label Dimensionality Reduction
inferredcites →https://doi.org/10.1609/aaai.v27i1.8521openalex-snapshot
Empirical Comparison of Multi-Label Classification Algorithms
inferredcites →https://doi.org/10.4018/jdwm.2007070101openalex-snapshot
Multi-Label Classification
inferredcites →https://doi.org/10.5120/20083-1666openalex-snapshot
Experimental Comparison of Methods for Multi-label Classification in different Application Domains
inferredcites →https://doi.org/10.5281/zenodo.1414899openalex-snapshot
Multi-Label Classification Of Music Into Emotions.
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0092openalex-snapshot
A Kernel Method for Multi-Labelled Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Medical Images Analysis Based on Multilabel Classification
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Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi-label text classification on big social network graph data
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McBel-Plnc
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An Application of Multi-label Linear Discriminant Analysis and Binary Relevance K-Nearest Neighbor in Multi-label Classification of Annotated Images
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Multi-Label Arabic Text Classification: An Overview
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The Potential utility of fourier transform infrared spectroscopy for the diagnosis and the prognosis of non-hodgkin lymphoma
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2242303/v1openalex-snapshot
Sharing and re-using learning objects Using web-mining techniques and Clustering algorithms
inferred← citeshttps://doi.org/10.28991/esj-2023-07-03-010openalex-snapshot
Enhancing Learning Object Analysis through Fuzzy C-Means Clustering and Web Mining Methods
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Diagnosis of Diverse Retinal Disorders Using a Multi-Label Computer-Aided System
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