Multi-Label Classification - Groups

MEKA: A multi-label/multi-target extension to Weka

MEKA is a multi-label/multi-target extension to Weka.

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scikit-multilearn: A scikit-based Python environment for performing multi-lab...

scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all...

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MULAN: A Java library for multi-label learning

MULAN is a Java library for multi-label learning.

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A Unified View of Multi-Label Performance Measures

Multi-label classification deals with the problem where each instance is associated with multiple class labels.

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SimFair: A Uniﬁed Framework for Fairness-Aware Multi-Label Classiﬁcation

The authors used two tabular datasets, Adult and Credit, that are ubiquitous in fairness literature, and transformed them into multi-label settings.

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Sewer-ML

Sewer-ML is a multi-label sewer defect classification dataset and benchmark.

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CUB-200

CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.

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MS-COCO

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

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8 datasets found