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Hierarchical Multi-label Classification

Multi-label classification is a standard machine learning problem in which an object can be associated with multiple labels. A hierarchical multi-label classification (HMC) problem is defined as a multi-label classification problem in which classes are hierarchically organized as a tree or as a directed acyclic graph (DAG), and in which every prediction must be coherent, i.e., respect the hierarchy constraint. The hierarchy constraint states that a datapoint belonging to a given class must also belong to all its ancestors in the hierarchy.

Papers

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Showing 26–48 of 48 papers

TitleStatusHype
Semantic Probabilistic Layers for Neuro-Symbolic LearningCode1
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate—0
Evaluating Extreme Hierarchical Multi-label Classification—0
Feature extraction using Spectral Clustering for Gene Function Prediction using Hierarchical Multi-label ClassificationCode0
A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks—0
Academic Resource Text Level Multi-label Classification based on Attention—0
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction—0
Evaluating Extreme Hierarchical Multi-label Classification—0
Modeling Label Space Interactions in Multi-label Classification using Box EmbeddingsCode1
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification—0
Multi-Label Classification Neural Networks with Hard Logical ConstraintsCode1
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label ClassificationCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
Feature Ranking for Semi-supervised Learning—0
Oblique Predictive Clustering TreesCode0
Hierarchy-Aware Global Model for Hierarchical Text Classification—0
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit—0
Hierarchical Multi-label Classification of Text with Capsule NetworksCode0
Hyperbolic Interaction Model For Hierarchical Multi-Label ClassificationCode0
HierLPR: Decision making in hierarchical multi-label classification with local precision rates—0
Hierarchical Multi-Label Classification Networks—0
Semantic HMC for Big Data Analysis—0
Notes on hierarchical ensemble methods for DAG-structured taxonomies—0
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