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Reliability-enhanced partial multi-label feature selection
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10489-022-03425-3openalex-snapshot
A robust graph based multi-label feature selection considering feature-label dependency
inferredcites →https://doi.org/10.1007/s13042-023-01874-xopenalex-snapshot
Multi-label feature selection via joint label enhancement and pairwise label correlations
inferredcites →https://doi.org/10.1016/j.asoc.2015.10.009openalex-snapshot
Multi-label feature selection based on neighborhood mutual information
inferredcites →https://doi.org/10.1016/j.asoc.2023.110950openalex-snapshot
Exploiting local label correlation from sample perspective for multi-label classification via three-way decision theory
inferredcites →https://doi.org/10.1016/j.engappai.2024.109479openalex-snapshot
Interactive streaming feature selection based on neighborhood rough sets
inferredcites →https://doi.org/10.1016/j.eswa.2019.113024openalex-snapshot
MGFS: A multi-label graph-based feature selection algorithm via PageRank centrality
inferredcites →https://doi.org/10.1016/j.eswa.2024.125404openalex-snapshot
Multi-population differential evolution approach for feature selection with mutual information ranking
inferredcites →https://doi.org/10.1016/j.eswa.2024.125819openalex-snapshot
Enhanced multi-label feature selection considering label-specific relevant information
inferredcites →https://doi.org/10.1016/j.inffus.2024.102901openalex-snapshot
VCOS: Multi-scale information fusion to feature selection using fuzzy rough combination entropy
inferredcites →https://doi.org/10.1016/j.ins.2023.119556openalex-snapshot
Partial multi-label feature selection via subspace optimization
inferredcites →https://doi.org/10.1016/j.knosys.2018.08.018openalex-snapshot
Joint multi-label classification and label correlations with missing labels and feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2021.107924openalex-snapshot
Non-negative multi-label feature selection with dynamic graph constraints
inferredcites →https://doi.org/10.1016/j.knosys.2023.111363openalex-snapshot
Multi-label Feature selection with adaptive graph learning and label information enhancement
inferredcites →https://doi.org/10.1016/j.knosys.2024.111899openalex-snapshot
Partial multi-label feature selection via low-rank and sparse factorization with manifold learning
inferredcites →https://doi.org/10.1016/j.neucom.2022.11.096openalex-snapshot
Multi-label feature selection based on label distribution and neighborhood rough set
inferredcites →https://doi.org/10.1016/j.patcog.2017.01.014openalex-snapshot
SCLS: Multi-label feature selection based on scalable criterion for large label set
inferredcites →https://doi.org/10.1016/j.patcog.2021.108137openalex-snapshot
Multi-label feature selection considering label supplementation
inferredcites →https://doi.org/10.1016/j.patcog.2023.109899openalex-snapshot
Learning correlation information for multi-label feature selection
inferredcites →https://doi.org/10.1016/j.patcog.2023.110081openalex-snapshot
Learning implicit labeling-importance and label correlation for multi-label feature selection with streaming labels
inferredcites →https://doi.org/10.1016/j.patcog.2023.110154openalex-snapshot
Discriminative multi-label feature selection with adaptive graph diffusion
inferredcites →https://doi.org/10.1016/j.patcog.2024.110453openalex-snapshot
Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization
inferredcites →https://doi.org/10.1016/j.patcog.2024.110888openalex-snapshot
Embedded feature fusion for multi-view multi-label feature selection
inferredcites →https://doi.org/10.1016/j.patcog.2024.111069openalex-snapshot
A wrapper feature selection approach using Markov blankets
inferredcites →https://doi.org/10.1016/j.patcog.2024.111281openalex-snapshot
Integrating label confidence-based feature selection for partial multi-label learning
inferredcites →https://doi.org/10.1109/bracis.2013.10openalex-snapshot
ReliefF for Multi-label Feature Selection
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892133openalex-snapshot
Partial Multi-Label Feature Selection
inferredcites →https://doi.org/10.1109/tcyb.2017.2663838openalex-snapshot
Joint Feature Selection and Classification for Multilabel Learning
inferredcites →https://doi.org/10.1109/tfuzz.2023.3287193openalex-snapshot
A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction
inferredcites →https://doi.org/10.1109/tkde.2021.3113514openalex-snapshot
Online Multi-Label Streaming Feature Selection With Label Correlation
inferredcites →https://doi.org/10.1109/tmm.2024.3402534openalex-snapshot
Negative Label and Noise Information Guided Disambiguation for Partial Multi-Label Learning
inferredcites →https://doi.org/10.1109/tpami.2020.2985210openalex-snapshot
Partial Multi-Label Learning via Credible Label Elicitation
inferredcites →https://doi.org/10.1109/tpami.2021.3059290openalex-snapshot
Partial Multi-Label Learning with Noisy Label Identification
inferredcites →https://doi.org/10.1145/3532190openalex-snapshot
Integrating Global and Local Feature Selection for Multi-Label Learning
inferredcites →https://doi.org/10.1145/361002.361007openalex-snapshot
Multidimensional binary search trees used for associative searching
inferredcites →https://doi.org/10.1214/aoms/1177731944openalex-snapshot
A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
inferredcites →https://doi.org/10.1609/aaai.v32i1.11644openalex-snapshot
Partial Multi-Label Learning
inferredcites →https://doi.org/10.1609/aaai.v34i04.6124openalex-snapshot
Partial Multi-Label Learning with Label Distribution
inferredcites →https://doi.org/10.1609/aaai.v39i17.34049openalex-snapshot
Calibrated Disambiguation for Partial Multi-label Learning
inferredcites →https://doi.org/10.1609/aaai.v39i19.34179openalex-snapshot
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
inferredcites →https://doi.org/10.24963/ijcai.2019/512openalex-snapshot
Discriminative and Correlative Partial Multi-Label Learning
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