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BiLabel-Specific Features for Multi-Label Classification

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What this work says

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

inferredcites →https://doi.org/10.1007/s00500-020-04775-1openalex-snapshot

Joint label completion and label-specific features for multi-label learning algorithm

inferredcites →https://doi.org/10.1007/s10462-016-9516-4openalex-snapshot

Categorizing feature selection methods for multi-label classification

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/10.1007/s10994-011-5270-7openalex-snapshot

Multilabel classification with meta-level features in a learning-to-rank framework

inferredcites →https://doi.org/10.1007/s10994-019-05783-5openalex-snapshot

Supervised representation learning for multi-label classification

inferredcites →https://doi.org/10.1007/s10994-019-05791-5openalex-snapshot

Data scarcity, robustness and extreme multi-label classification

inferredcites →https://doi.org/10.1007/s11390-020-9900-zopenalex-snapshot

Joint Label-Specific Features and Correlation Information for Multi-Label Learning

inferredcites →https://doi.org/10.1007/s11390-020-9994-3openalex-snapshot

Incremental Multi-Label Learning with Active Queries

inferredcites →https://doi.org/10.1007/s11432-017-9371-yopenalex-snapshot

Pre-course student performance prediction with multi-instance multi-label learning

inferredcites →https://doi.org/10.1007/s11432-019-2905-3openalex-snapshot

Multi-dimensional classification via stacked dependency exploitation

inferredcites →https://doi.org/10.1007/s11432-020-3117-3openalex-snapshot

Deep multiple instance selection

inferredcites →https://doi.org/10.1007/s11704-017-7031-7openalex-snapshot

Binary relevance for multi-label learning: an overview

inferredcites →https://doi.org/10.1016/j.artint.2011.10.002openalex-snapshot

Multi-instance multi-label learning

inferredcites →https://doi.org/10.1016/j.artint.2013.06.003openalex-snapshot

Multiple instance classification: Review, taxonomy and comparative study

inferredcites →https://doi.org/10.1016/j.knosys.2016.04.012openalex-snapshot

Multi-label learning with label-specific feature reduction

inferredcites →https://doi.org/10.1016/j.knosys.2018.07.003openalex-snapshot

Multi-label learning with label-specific features by resolving label correlations

inferredcites →https://doi.org/10.1016/j.neucom.2016.12.073openalex-snapshot

Multi-label classification by exploiting local positive and negative pairwise label correlation

inferredcites →https://doi.org/10.1016/j.neucom.2017.07.044openalex-snapshot

Multi-label learning based on label-specific features and local pairwise label correlation

inferredcites →https://doi.org/10.1016/j.neucom.2019.10.016openalex-snapshot

Non-sparse label specific features selection for multi-label classification

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.2017.10.009openalex-snapshot

Multiple instance learning: A survey of problem characteristics and applications

inferredcites →https://doi.org/10.1016/j.patcog.2020.107423openalex-snapshot

Multi-dimensional classification via kNN feature augmentation

inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00532openalex-snapshot

Multi-Label Image Recognition With Graph Convolutional Networks

inferredcites →https://doi.org/10.1109/icdm.2014.102openalex-snapshot

Graded Multilabel Classification by Pairwise Comparisons

inferredcites →https://doi.org/10.1109/icdm.2019.00069openalex-snapshot

Generative Correlation Discovery Network for Multi-label Learning

inferredcites →https://doi.org/10.1109/tcyb.2017.2663838openalex-snapshot

Joint Feature Selection and Classification for Multilabel Learning

inferredcites →https://doi.org/10.1109/tcyb.2019.2932439openalex-snapshot

Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework

inferredcites →https://doi.org/10.1109/tkde.2010.164openalex-snapshot

Random k-Labelsets for Multilabel Classification

inferredcites →https://doi.org/10.1109/tkde.2013.167openalex-snapshot

Multi-Dimensional Classification with Super-Classes

inferredcites →https://doi.org/10.1109/tkde.2013.39openalex-snapshot

A Review on Multi-Label Learning Algorithms

inferredcites →https://doi.org/10.1109/tkde.2016.2608339openalex-snapshot

Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification

inferredcites →https://doi.org/10.1109/tmm.2020.3002185openalex-snapshot

Joint Input and Output Space Learning for Multi-Label Image Classification

inferredcites →https://doi.org/10.1109/tpami.2014.2339815openalex-snapshot

Lift: Multi-Label Learning with Label-Specific Features

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/10.1145/1961189.1961199openalex-snapshot

LIBSVM

inferredcites →https://doi.org/10.1145/2623330.2623651openalex-snapshot

FastXML

inferredcites →https://doi.org/10.1145/2716262openalex-snapshot

A Tutorial on Multilabel Learning

inferredcites →https://doi.org/10.1145/2835776.2835821openalex-snapshot

Exploiting New Sentiment-Based Meta-level Features for Effective Sentiment Analysis

inferredcites →https://doi.org/10.1145/3319911openalex-snapshot

Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning

inferredcites →https://doi.org/10.1201/b16017openalex-snapshot

Multi-Label Dimensionality Reduction

inferredcites →https://doi.org/10.1609/aaai.v29i1.9610openalex-snapshot

Large Margin Metric Learning for Multi-Label Prediction

inferredcites →https://doi.org/10.1609/aaai.v31i1.10890openalex-snapshot

Deep MIML Network

inferredcites →https://doi.org/10.1609/aaai.v32i1.11656openalex-snapshot

Feature-Induced Labeling Information Enrichment for Multi-Label Learning

inferredcites →https://doi.org/10.24963/ijcai.2018/400openalex-snapshot

Multi-Label Co-Training

inferredcites →https://doi.org/10.24963/ijcai.2019/539openalex-snapshot

Multi-View Multi-Label Learning with View-Specific Information Extraction

inferredcites →https://doi.org/10.48550/arxiv.1707.00418openalex-snapshot

Learning Deep Latent Spaces for Multi-Label Classification

inferredcites →https://doi.org/10.5555/1248547.1248548openalex-snapshot

Statistical Comparisons of Classifiers over Multiple Data Sets

What points at this work

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

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Multiple reference points-based multi-objective feature selection for multi-label learning

inferred← citeshttps://doi.org/10.1007/s10489-024-05668-8openalex-snapshot

Label distribution feature selection based on label-specific features

inferred← citeshttps://doi.org/10.1007/s40815-024-01776-2openalex-snapshot

Multi-label-Specific Features Learning Algorithm Based on Label Importance and Fuzzy Rough Set

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.109037openalex-snapshot

Enhancing Label Correlations in multi-label classification through global-local label specific feature learning to Fill Missing labels

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CADLRA: A multi-charge prediction method based on the Criminal Act-Driven Law Retrieval Augmentation

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Multi-level feature decomposition and fusion model for video-based multimodal emotion recognition

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118861openalex-snapshot

Group-preserving label-specific feature selection for multi-label learning

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133095openalex-snapshot

LSAM: Label semantic association metric for task decomposition in multi-label classification

inferred← citeshttps://doi.org/10.1016/j.ijar.2024.109349openalex-snapshot

Multi-label learning based on neighborhood rough set label-specific features

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102975openalex-snapshot

Sparse multi-label feature selection via pseudo-label learning and dynamic graph constraints

inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103691openalex-snapshot

Towards explainable multilabel learning: Fusing label dependency analysis with monotonic decision trees

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119917openalex-snapshot

Learning shared and non-redundant label-specific features for partial multi-label classification

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111948openalex-snapshot

Multi-label feature selection via similarity constraints with non-negative matrix factorization

inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109357openalex-snapshot

Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110358openalex-snapshot

Semi-supervised imbalanced multi-label classification with label propagation

inferred← citeshttps://doi.org/10.1108/ijwis-09-2024-0272openalex-snapshot

Crowd-CapsNet: capsule network based adaptive crowdsourcing task recommendation

inferred← citeshttps://doi.org/10.1109/eiecs67708.2025.11283147openalex-snapshot

Joint Feature Disentanglement and Graph-Based Label Relation Modeling for Multi-Label Classification

inferred← citeshttps://doi.org/10.1109/icdcece65353.2025.11035198openalex-snapshot

Multi-Label Classification of English Social Media Texts based on Deep Learning Algorithm

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Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble

inferred← citeshttps://doi.org/10.1109/tetci.2023.3302653openalex-snapshot

Multi-Label Feature Selection via Positive or Negative Correlation

inferred← citeshttps://doi.org/10.1109/tetci.2025.3623235openalex-snapshot

Multi-Instance Multi-Label Learning via Label Specific Features and Label Enhancement with Collaborative Multi Objective Particle Swarm Optimization

inferred← citeshttps://doi.org/10.1109/tfuzz.2022.3222941openalex-snapshot

Partial Multilabel Learning Using Fuzzy Neighborhood-Based Ball Clustering and Kernel Extreme Learning Machine

inferred← citeshttps://doi.org/10.1109/tkde.2022.3232114openalex-snapshot

Robust Label and Feature Space Co-Learning for Multi-Label Classification

inferred← citeshttps://doi.org/10.1145/3604560openalex-snapshot

Multi-Label Feature Selection Via Adaptive Label Correlation Estimation

inferred← citeshttps://doi.org/10.1609/aaai.v36i8.20895openalex-snapshot

Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition

inferred← citeshttps://doi.org/10.1609/aaai.v37i9.26259openalex-snapshot

Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification

inferred← citeshttps://doi.org/10.26599/air.2022.9150006openalex-snapshot

Multi-Label Image Classification with Weak Correlation Prior

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AQSA: Aspect-Based Quality Sentiment Analysis for Multi-Labeling with Improved ResNet Hybrid Algorithm

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Multi-Scale Annulus Clustering for Multi-Label Classification

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