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Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach

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2 of the 63 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s12652-020-01824-3 (notice 2022-06-07), 10.1007/s12652-020-01961-9 (notice 2022-05-30).

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What this work says

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

inferredcites →https://doi.org/10.1002/0471722162openalex-snapshot
Order Statistics
inferredcites →https://doi.org/10.1002/9780470496916openalex-snapshot
Metaheuristics
inferredcites →https://doi.org/10.1002/cpe.2928openalex-snapshot
Parallel classification and feature selection in microarray data using SPRINT
inferredcites →https://doi.org/10.1002/widm.1240openalex-snapshot
Multilabel feature selection: A comprehensive review and guiding experiments
inferredcites →https://doi.org/10.1007/3-540-45014-9_1openalex-snapshot
Ensemble Methods in Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-76348-4_33openalex-snapshot
Ensemble of Feature Selection Methods for Text Classification: An Analytical Study
inferredcites →https://doi.org/10.1007/978-3-319-90080-3_6openalex-snapshot
Evaluation of Ensembles for Feature Selection
inferredcites →https://doi.org/10.1007/978-3-319-93638-3_44openalex-snapshot
Enhancing Intelligent Alarm Reduction for Distributed Intrusion Detection Systems via Edge Computing
inferredcites →https://doi.org/10.1007/978-3-540-87481-2_21openalex-snapshot
Robust Feature Selection Using Ensemble Feature Selection Techniques
inferredcites →https://doi.org/10.1007/978-3-642-22910-7_5openalex-snapshot
Fast-Ensembles of Minimum Redundancy Feature Selection
inferredcites →https://doi.org/10.1007/s00500-019-04220-yopenalex-snapshot
IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
inferredcites →https://doi.org/10.1007/s00521-021-06362-3openalex-snapshot
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction
inferredcites →https://doi.org/10.1007/s10462-018-09677-1openalex-snapshot
Survey on supervised machine learning techniques for automatic text classification
inferredcites →https://doi.org/10.1007/s10489-020-01680-wopenalex-snapshot
A multi-label text classification method via dynamic semantic representation model and deep neural network
inferredcites →https://doi.org/10.1007/s10489-020-01822-0openalex-snapshot
Feature selection for multi-label classification by maximizing full-dimensional conditional mutual information
inferredcites →https://doi.org/10.1007/s10489-021-03076-wopenalex-snapshot
Wrapper feature selection with partially labeled data
inferredcites →https://doi.org/10.1007/s11063-017-9619-1openalex-snapshot
Testing Different Ensemble Configurations for Feature Selection
inferredcites →https://doi.org/10.1007/s11276-021-02554-wopenalex-snapshot
Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms
inferredcites →https://doi.org/10.1007/s11634-017-0285-yopenalex-snapshot
Ensemble feature selection for high dimensional data: a new method and a comparative study
inferredcites →https://doi.org/10.1007/s12652-018-0883-3openalex-snapshot
Grading glioma by radiomics with feature selection based on mutual information
inferredcites →https://doi.org/10.1007/s12652-019-01364-5openalex-snapshot
A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
inferredcites →https://doi.org/10.1007/s12652-019-01624-4openalex-snapshot
Multi-feature fusion and selection method for an improved particle swarm optimization
inferredcites →https://doi.org/10.1007/s12652-020-01824-3openalex-snapshot
RETRACTED ARTICLE: Feature selection and classification methods for vehicle tracking and detection
inferredcites →https://doi.org/10.1007/s12652-020-01961-9openalex-snapshot
RETRACTED ARTICLE: Customer behavior analysis using Naive Bayes with bagging homogeneous feature selection approach
inferredcites →https://doi.org/10.1007/s13042-020-01180-wopenalex-snapshot
A bipartite matching-based feature selection for multi-label learning
inferredcites →https://doi.org/10.1007/s13042-021-01347-zopenalex-snapshot
Ensemble of feature selection algorithms: a multi-criteria decision-making approach
inferredcites →https://doi.org/10.1016/j.asoc.2016.11.021openalex-snapshot
Ensemble of feature selection methods: A hesitant fuzzy sets approach
inferredcites →https://doi.org/10.1016/j.asoc.2021.107473openalex-snapshot
An energy aware grouping memetic algorithm to schedule the sensing activity in WSNs-based IoT for smart cities
inferredcites →https://doi.org/10.1016/j.engappai.2014.07.016openalex-snapshot
GGSA: A Grouping Gravitational Search Algorithm for data clustering
inferredcites →https://doi.org/10.1016/j.eswa.2018.03.058openalex-snapshot
A recent overview of the state-of-the-art elements of text classification
inferredcites →https://doi.org/10.1016/j.eswa.2021.114979openalex-snapshot
A compound of feature selection techniques to improve solar radiation forecasting
inferredcites →https://doi.org/10.1016/j.eswa.2021.115130openalex-snapshot
A pareto-based ensemble of feature selection algorithms
inferredcites →https://doi.org/10.1016/j.eswa.2021.115224openalex-snapshot
VMFS: A VIKOR-based multi-target feature selection
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.008openalex-snapshot
Ensembles for feature selection: A review and future trends
inferredcites →https://doi.org/10.1016/j.ins.2013.09.034openalex-snapshot
A discrete gravitational search algorithm for solving combinatorial optimization problems
inferredcites →https://doi.org/10.1016/j.ins.2018.12.033openalex-snapshot
Ensemble feature selection using election methods and ranker clustering
inferredcites →https://doi.org/10.1016/j.ins.2019.02.021openalex-snapshot
Memetic feature selection for multilabel text categorization using label frequency difference
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.knosys.2016.09.022openalex-snapshot
Centralized vs. distributed feature selection methods based on data complexity measures
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.2021.107538openalex-snapshot
An ensemble feature selection algorithm based on PageRank centrality and fuzzy logic
inferredcites →https://doi.org/10.1016/j.neucom.2017.11.077openalex-snapshot
Feature selection in machine learning: A new perspective
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.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/10.1016/j.stae.2022.100001openalex-snapshot
Sustainable maintenance of power transformers using computational intelligence
inferredcites →https://doi.org/10.1016/j.swevo.2021.100892openalex-snapshot
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
inferredcites →https://doi.org/10.1038/nbt1203openalex-snapshot
Gene prioritization through genomic data fusion
inferredcites →https://doi.org/10.1109/csicc49403.2020.9050087openalex-snapshot
MLPSO: A Filter Multi-label Feature Selection Based on Particle Swarm Optimization
inferredcites →https://doi.org/10.1109/csicc52343.2021.9420617openalex-snapshot
Feature Selection in Multi-label Classification based on Binary Quantum Gravitational Search Algorithm
inferredcites →https://doi.org/10.1109/jiot.2018.2844727openalex-snapshot
Compressive Sensing of Medical Images With Confidentially Homomorphic Aggregations
inferredcites →https://doi.org/10.1109/tsc.2019.2962110openalex-snapshot
ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment
inferredcites →https://doi.org/10.1126/science.1087447openalex-snapshot
A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules
inferredcites →https://doi.org/10.1142/s0219455422501346openalex-snapshot
Structural Damage Recognition Based on Filtered Feature Selection and Convolutional Neural Network
inferredcites →https://doi.org/10.1145/1183614.1183736openalex-snapshot
Combining feature selectors for text classification
inferredcites →https://doi.org/10.1145/3356468openalex-snapshot
Secure Deduplication System with Active Key Update and Its Application in IoT
inferredcites →https://doi.org/10.1504/ijwgs.2015.068899openalex-snapshot
Novel algorithms and equivalence optimisation for resource allocation in cloud computing
inferredcites →https://doi.org/10.3390/e23010002openalex-snapshot
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
inferredcites →https://doi.org/10.3390/informatics5010013openalex-snapshot
A Novel Three-Stage Filter-Wrapper Framework for miRNA Subset Selection in Cancer Classification
inferredcites →https://doi.org/10.4018/ijcac.295241openalex-snapshot
Modelling of the Cloud Service Quality Factors Using ISM
inferredcites →https://doi.org/10.4018/ijssci.301269openalex-snapshot
Model-Based Method for Optimisation of an Adaptive System
inferredcites →https://doi.org/10.4018/ijswis.2020040105openalex-snapshot
Context-Aware Personalized Web Search Using Navigation History

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-97-0353-1_8openalex-snapshot
Multi-objective Optimization for Feature Selection: A Review
inferred← citeshttps://doi.org/10.1007/978-981-99-7227-2_3openalex-snapshot
Exploring Ant Colony Optimization for Feature Selection: A Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s00521-023-09089-5openalex-snapshot
NSOFS: a non-dominated sorting-based online feature selection algorithm
inferred← citeshttps://doi.org/10.1007/s10115-024-02143-1openalex-snapshot
Semantic similarity-aware feature selection and redundancy removal for text classification using joint mutual information
inferred← citeshttps://doi.org/10.1007/s11042-024-19736-1openalex-snapshot
An optimal feature selection method for text classification through redundancy and synergy analysis
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109186openalex-snapshot
Thai-language chatbot security: Detecting instruction attacks with XLM-RoBERTa and Bi-GRU
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112987openalex-snapshot
A transformer-based approach for source code classification for heterogeneous device mapping
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119130openalex-snapshot
SemiACO: A semi-supervised feature selection based on ant colony optimization
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134236openalex-snapshot
Multi-label feature selection via non-additive fusion of embedded and spectral evidence
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101948openalex-snapshot
A survey on multi-label feature selection from perspectives of label fusion
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103320openalex-snapshot
CNN-BiLSTM-Attention: A multi-label neural classifier for short texts with a small set of labels
inferred← citeshttps://doi.org/10.1016/j.mlwa.2025.100689openalex-snapshot
Artificial neural networks and support vector machines for more accurate cost estimation in underground mining: A contractor's viewpoint
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.108756openalex-snapshot
A framework for classifier-neutral ensemble multi-label feature selection via swarm optimization
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.109411openalex-snapshot
Enhancing ReliefF for multi-label text classification via high-order label correlation
inferred← citeshttps://doi.org/10.1080/17517575.2024.2328186openalex-snapshot
Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques
inferred← citeshttps://doi.org/10.1109/csicc58665.2023.10105319openalex-snapshot
An election strategy for online streaming feature selection
inferred← citeshttps://doi.org/10.1109/csicc58665.2023.10105330openalex-snapshot
A Fuzzy Integral Approach for Ensembling Unsupervised Feature Selection Algorithms
inferred← citeshttps://doi.org/10.1109/tai.2025.3538549openalex-snapshot
A Novel Recursive Ensemble Feature Selection Framework for High-Dimensional Data
inferred← citeshttps://doi.org/10.1145/3604560openalex-snapshot
Multi-Label Feature Selection Via Adaptive Label Correlation Estimation
inferred← citeshttps://doi.org/10.1155/2023/2400194openalex-snapshot
A Model‐Free Feature Selection Technique of Feature Screening and Random Forest‐Based Recursive Feature Elimination
inferred← citeshttps://doi.org/10.1371/journal.pone.0282812openalex-snapshot
Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets
inferred← citeshttps://doi.org/10.4018/979-8-3373-4149-1.ch005openalex-snapshot
Natural Language Processing for Fraudulent Communication Detection
inferred← citeshttps://doi.org/10.4018/ijswis.335113openalex-snapshot
A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling
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