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Multi-Label Feature Selection Via Adaptive Label Correlation Estimation

https://doi.org/10.1145/3604560
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What this work says

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

inferredcites →https://doi.org/10.1002/int.23044openalex-snapshot
Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
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/10.1007/s13042-022-01616-5openalex-snapshot
MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification
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.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.ins.2021.09.052openalex-snapshot
An efficient Pareto-based feature selection algorithm for multi-label classification
inferredcites →https://doi.org/10.1016/j.ins.2022.02.024openalex-snapshot
Feature-specific mutual information variation for multi-label feature selection
inferredcites →https://doi.org/10.1016/j.ins.2022.07.154openalex-snapshot
Label correlations variation for robust multi-label feature selection
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.2020.106365openalex-snapshot
MFS-MCDM: Multi-label feature selection using multi-criteria decision making
inferredcites →https://doi.org/10.1016/j.knosys.2022.108256openalex-snapshot
Multi-label feature selection based on label correlations and feature redundancy
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.patcog.2006.12.019openalex-snapshot
ML-KNN: A lazy learning approach to multi-label learning
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.2022.109074openalex-snapshot
Multi-label feature selection via robust flexible sparse regularization
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/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1080/01621459.1961.10482090openalex-snapshot
Multiple Comparisons Among Means
inferredcites →https://doi.org/10.1109/icdm.2015.67openalex-snapshot
Learning Label Specific Features for Multi-label Classification
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.2020.3015756openalex-snapshot
Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
inferredcites →https://doi.org/10.1109/tcyb.2021.3061152openalex-snapshot
A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data
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/tfuzz.2017.2735947openalex-snapshot
Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information
inferredcites →https://doi.org/10.1109/tfuzz.2022.3182441openalex-snapshot
Fuzzy Mutual Information-Based Multilabel Feature Selection With Label Dependency and Streaming Labels
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/tkde.2021.3113514openalex-snapshot
Online Multi-Label Streaming Feature Selection With Label Correlation
inferredcites →https://doi.org/10.1145/2623330.2623726openalex-snapshot
Clustering and projected clustering with adaptive neighbors
inferredcites →https://doi.org/10.1145/3136625openalex-snapshot
Feature Selection
inferredcites →https://doi.org/10.1145/3451392openalex-snapshot
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble
inferredcites →https://doi.org/10.1145/3458283openalex-snapshot
BiLabel-Specific Features for Multi-Label Classification
inferredcites →https://doi.org/10.1145/3488055openalex-snapshot
Causal Feature Selection with Missing Data
inferredcites →https://doi.org/10.1145/3592859openalex-snapshot
Road Network Representation Learning: A Dual Graph-based Approach
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/10.1609/aaai.v33i01.33015385openalex-snapshot
Learning Compact Model for Large-Scale Multi-Label Data
inferredcites →https://doi.org/10.24963/ijcai.2020/348openalex-snapshot
Multi-label Feature Selection via Global Relevance and Redundancy Optimization

What points at this work

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

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Engineering MLOps Pipelines With Data Quality: A Case Study on Tabular Datasets in Kaggle
inferred← citeshttps://doi.org/10.1007/s10618-026-01265-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-024-06689-7openalex-snapshot
Warping resilient robust anomaly detection for multivariate time series
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inferred← citeshttps://doi.org/10.1016/j.aei.2025.103310openalex-snapshot
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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.2025.113046openalex-snapshot
Self-expression multi-label feature selection based on fuzzy decision
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inferred← citeshttps://doi.org/10.1016/j.ejor.2024.11.038openalex-snapshot
Multi-label feature selection considering label importance-weighted relevance and label-dependency redundancy
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.2024.120662openalex-snapshot
Label relaxation and shared information for multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121124openalex-snapshot
Anchor-guided global view reconstruction for multi-view multi-label feature selection
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121187openalex-snapshot
Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113321openalex-snapshot
TCrossE: Cross-space interaction of bicomplex and quaternion embeddings for temporal knowledge graph completion
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.110081openalex-snapshot
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110358openalex-snapshot
Semi-supervised imbalanced multi-label classification with label propagation
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111310openalex-snapshot
Partial multi-label feature selection with feature noise
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112005openalex-snapshot
Learning embedded label-specific features for partial multi-label learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112365openalex-snapshot
Learning label-specific features for multi-dimensional classification
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Clustering electricity consumption patterns using functional data analysis
inferred← citeshttps://doi.org/10.1080/00401706.2025.2453206openalex-snapshot
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
inferred← citeshttps://doi.org/10.1080/10618600.2024.2429706openalex-snapshot
Functional Projection K -means
inferred← citeshttps://doi.org/10.1080/10618600.2024.2431057openalex-snapshot
Local Clustering for Functional Data
inferred← citeshttps://doi.org/10.1080/10618600.2025.2489537openalex-snapshot
Dependence-Based Fuzzy Clustering of Functional Time Series
inferred← citeshttps://doi.org/10.1080/14763141.2024.2368064openalex-snapshot
Profiling biomechanical abilities during sprint front-crawl swimming using IMU and functional clustering of variabilities
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Diagnosis-based design of electric power steering system considering multiple degradations: role of designable generative adversarial network anomaly detection
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Source Code Error Understanding Using BERT for Multi-Label Classification
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A Novel Compound Fault Diagnosis Method for Rotating Machinery Based on Dynamic Adaptive MWPE and Dual-Graph Regularization Strategy
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/tkde.2026.3677879openalex-snapshot
Exploiting Global Information for Partial Multi-Label Learning
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Leveraging Fuzzy Manifold Intra-Class Correlation and Inter-Class Separability for Online Multilabel Streaming Features Analysis
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Online multi-label streaming feature selection based on neighborhood rough set with label correlation
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VecCity : A Taxonomy-Guided Library for Map Entity Representation Learning
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Rethinking Multi-Label Feature Selection Via Adaptive Skeleton Construction
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Equivalence of Informations Characterizes Bregman Divergences
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Graph Representation Learning for Street-Level Crime Prediction
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Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders
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Text Mining and Unsupervised Deep Learning for Intrusion Detection in Smart-Grid Communication Networks
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