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Integrating Global and Local Feature Selection for Multi-Label Learning

https://doi.org/10.1145/3532190
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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/s10115-017-1059-8openalex-snapshot
Recent advances in feature selection and its applications
inferredcites →https://doi.org/10.1007/s10994-011-5271-6openalex-snapshot
Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference
inferredcites →https://doi.org/10.1007/s10994-011-5272-5openalex-snapshot
Statistical topic models for multi-label document classification
inferredcites →https://doi.org/10.1007/s13042-017-0647-yopenalex-snapshot
Multi-label feature selection via feature manifold learning and sparsity regularization
inferredcites →https://doi.org/10.1016/j.eswa.2013.10.030openalex-snapshot
Multi-label classification by exploiting label correlations
inferredcites →https://doi.org/10.1016/j.ins.2009.06.010openalex-snapshot
Feature selection for multi-label naive Bayes classification
inferredcites →https://doi.org/10.1016/j.ins.2019.10.022openalex-snapshot
A novel approach for learning label correlation with application to feature selection of multi-label data
inferredcites →https://doi.org/10.1016/j.knosys.2019.105285openalex-snapshot
MLACO: A multi-label feature selection algorithm based on ant colony optimization
inferredcites →https://doi.org/10.1016/j.knosys.2020.106090openalex-snapshot
Robust discriminant feature selection via joint L2,1 -norm distance minimization and maximization
inferredcites →https://doi.org/10.1016/j.neucom.2015.06.010openalex-snapshot
Multi-label feature selection based on max-dependency and min-redundancy
inferredcites →https://doi.org/10.1016/j.neucom.2015.07.022openalex-snapshot
Multi-label learning with label relevance in advertising video
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/10.1016/j.patcog.2017.02.025openalex-snapshot
Granular multi-label feature selection based on mutual information
inferredcites →https://doi.org/10.1016/j.patcog.2017.09.036openalex-snapshot
Multi-label feature selection with missing labels
inferredcites →https://doi.org/10.1016/j.patcog.2018.01.022openalex-snapshot
SVM based multi-label learning with missing labels for image annotation
inferredcites →https://doi.org/10.1016/j.patcog.2019.06.003openalex-snapshot
Manifold regularized discriminative feature selection for multi-label learning
inferredcites →https://doi.org/10.1016/j.patcog.2019.06.004openalex-snapshot
Distinguishing two types of labels for multi-label feature selection
inferredcites →https://doi.org/10.1016/j.patrec.2018.08.021openalex-snapshot
Manifold-based constraint Laplacian score for multi-label feature selection
inferredcites →https://doi.org/10.1023/a:1007649029923openalex-snapshot
BoosTexter: A Boosting-based System for Text Categorization
inferredcites →https://doi.org/10.1080/01621459.1961.10482090openalex-snapshot
Multiple Comparisons Among Means
inferredcites →https://doi.org/10.1093/bioinformatics/btk048openalex-snapshot
Hierarchical multi-label prediction of gene function
inferredcites →https://doi.org/10.1093/bioinformatics/btx833openalex-snapshot
Ontological function annotation of long non-coding RNAs through hierarchical multi-label classification
inferredcites →https://doi.org/10.1109/34.400568openalex-snapshot
Mean shift, mode seeking, and clustering
inferredcites →https://doi.org/10.1109/cvpr.2019.00532openalex-snapshot
Multi-Label Image Recognition With Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/icpr.2014.343openalex-snapshot
Multi-label Learning with Missing Labels
inferredcites →https://doi.org/10.1109/tcbb.2012.33openalex-snapshot
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
inferredcites →https://doi.org/10.1109/tcsvt.2018.2848458openalex-snapshot
Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation
inferredcites →https://doi.org/10.1109/tcyb.2014.2338893openalex-snapshot
Feature Selection in Supervised Saliency Prediction
inferredcites →https://doi.org/10.1109/tcyb.2020.3015756openalex-snapshot
Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
inferredcites →https://doi.org/10.1109/tevc.2015.2504420openalex-snapshot
A Survey on Evolutionary Computation Approaches to Feature Selection
inferredcites →https://doi.org/10.1109/tevc.2021.3106975openalex-snapshot
Clustering-Guided Particle Swarm Feature Selection Algorithm for High-Dimensional Imbalanced Data With Missing Values
inferredcites →https://doi.org/10.1109/tfuzz.2017.2735947openalex-snapshot
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information
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/tkde.2017.2785795openalex-snapshot
Multi-Label Learning with Global and Local Label Correlation
inferredcites →https://doi.org/10.1109/tnnls.2015.2424721openalex-snapshot
Effective Discriminative Feature Selection With Nontrivial Solution
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tpami.2021.3051276openalex-snapshot
AutoML for Multi-Label Classification: Overview and Empirical Evaluation
inferredcites →https://doi.org/10.1126/science.1242072openalex-snapshot
Clustering by fast search and find of density peaks
inferredcites →https://doi.org/10.1145/1291233.1291245openalex-snapshot
Correlative multi-label video annotation
inferredcites →https://doi.org/10.1145/1754428.1754431openalex-snapshot
A shared-subspace learning framework for multi-label classification
inferredcites →https://doi.org/10.1145/2500491openalex-snapshot
Instance Annotation for Multi-Instance Multi-Label Learning
inferredcites →https://doi.org/10.1145/3077136.3080834openalex-snapshot
Deep Learning for Extreme Multi-label Text Classification
inferredcites →https://doi.org/10.1145/3136625openalex-snapshot
Feature Selection
inferredcites →https://doi.org/10.1145/3319911openalex-snapshot
Leveraging Label-Specific Discriminant Mapping Features for Multi-Label Learning
inferredcites →https://doi.org/10.1145/3363573openalex-snapshot
Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams
inferredcites →https://doi.org/10.1145/361573.361582openalex-snapshot
Algorithm 432 [C2]: Solution of the matrix equation AX + XB = C [F4]
inferredcites →https://doi.org/10.1186/1471-2105-16-s12-s1openalex-snapshot
Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble
inferredcites →https://doi.org/10.18653/v1/d15-1099openalex-snapshot
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method
inferredcites →https://doi.org/10.2197/ipsjjip.23.767openalex-snapshot
A Multi-Label Convolutional Neural Network for Automatic Image Annotation
inferredcites →https://doi.org/10.4018/jdwm.2007070101openalex-snapshot
Multi-Label Classification

What points at this work

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

inferred← citeshttps://doi.org/10.1002/spy2.499openalex-snapshot
PCM ‐ RF a Hybrid Feature Selection Mechanism for Intrusion Detection System in IoT
inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_27openalex-snapshot
Label Correlation Guided Feature Selection for Multi-label Learning
inferred← citeshttps://doi.org/10.1007/s41060-024-00712-9openalex-snapshot
An effective initialization for Fuzzy PSO with Greedy Forward Selection in feature selection
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112757openalex-snapshot
Three-way multi-label classification: A review, a framework, and new challenges
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113047openalex-snapshot
Multi-label feature selection via label relaxation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122884openalex-snapshot
Multi-label feature selection via adaptive dual-graph optimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127535openalex-snapshot
A global and local unified feature selection algorithm based on hierarchical structure constraints
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.ins.2026.123616openalex-snapshot
Partial multi-label learning via feature manifold learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111281openalex-snapshot
Integrating label confidence-based feature selection for partial multi-label learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.111941openalex-snapshot
Reconstructing data representation for multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112365openalex-snapshot
Learning label-specific features for multi-dimensional classification
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113762openalex-snapshot
Reliability-enhanced partial multi-label feature selection based on neighborhood rough set
inferred← citeshttps://doi.org/10.1016/j.swevo.2024.101760openalex-snapshot
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
inferred← citeshttps://doi.org/10.1080/29966892.2026.2717824openalex-snapshot
A decision support framework for node vulnerability analysis using multi-view similarity fusion: application to the Venezuelan power grid
inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00072openalex-snapshot
BDVFL: Blockchain-based Decentralized Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/ictai59109.2023.00022openalex-snapshot
RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression
inferred← citeshttps://doi.org/10.1109/tce.2025.3644855openalex-snapshot
Efficient Multi-Label Feature Selection via High-Order Structure Information
inferred← citeshttps://doi.org/10.1109/tfuzz.2024.3415176openalex-snapshot
Multilabel Feature Selection Based on Fuzzy Mutual Information and Orthogonal Regression
inferred← citeshttps://doi.org/10.1109/tkde.2024.3365691openalex-snapshot
Partial Label Feature Selection: An Adaptive Approach
inferred← citeshttps://doi.org/10.1109/tkde.2025.3591461openalex-snapshot
Instance-Dependent Incomplete Multi-Label Feature Selection by Fuzzy Tolerance Relation and Fuzzy Mutual Implication Granularity
inferred← citeshttps://doi.org/10.1145/3744571openalex-snapshot
Interactive Fusion Label Enhancement for Multi-Label Learning
inferred← citeshttps://doi.org/10.2139/ssrn.5458385openalex-snapshot
Reliability-enhanced partial multi-label feature selection
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