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A Survey on semi-supervised feature selection methods

https://doi.org/10.1016/j.patcog.2016.11.003
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-031-01548-9openalex-snapshot
Introduction to Semi-Supervised Learning
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Current Approaches in Applied Artificial Intelligence
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Semi-supervised SVM-based Feature Selection for Cancer Classification using Microarray Gene Expression Data
inferredcites →https://doi.org/10.1007/978-3-540-68125-0_101openalex-snapshot
Forward Semi-supervised Feature Selection
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Graph Laplacian for Semi-supervised Feature Selection in Regression Problems
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Graph-Based Semi-supervised Feature Selection with Application to Automatic Spam Image Identification
inferredcites →https://doi.org/10.1007/978-3-642-23780-5_23openalex-snapshot
Constrained Laplacian Score for Semi-supervised Feature Selection
inferredcites →https://doi.org/10.1007/s00138-014-0604-7openalex-snapshot
Unsupervised manifold learning based on multiple feature spaces
inferredcites →https://doi.org/10.1007/s00530-014-0390-0openalex-snapshot
Semi-supervised feature selection via hierarchical regression for web image classification
inferredcites →https://doi.org/10.1007/s10772-015-9272-xopenalex-snapshot
Emotion recognition using semi-supervised feature selection with speaker normalization
inferredcites →https://doi.org/10.1007/s10994-007-5025-7openalex-snapshot
Feature selection via sensitivity analysis of SVM probabilistic outputs
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Neural networks for pattern recognition
inferredcites →https://doi.org/10.1016/j.acha.2008.09.001openalex-snapshot
Sparsest solutions of underdetermined linear systems via ℓq -minimization for 0
inferredcites →https://doi.org/10.1016/j.asoc.2013.09.018openalex-snapshot
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
inferredcites →https://doi.org/10.1016/j.asoc.2013.10.024openalex-snapshot
A hybrid intelligent model of analyzing clinical breast cancer data using clustering techniques with feature selection
inferredcites →https://doi.org/10.1016/j.asoc.2015.10.005openalex-snapshot
Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer
inferredcites →https://doi.org/10.1016/j.compbiomed.2014.01.014openalex-snapshot
A novel class dependent feature selection method for cancer biomarker discovery
inferredcites →https://doi.org/10.1016/j.compeleceng.2013.11.024openalex-snapshot
A survey on feature selection methods
inferredcites →https://doi.org/10.1016/j.csl.2013.11.004openalex-snapshot
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits
inferredcites →https://doi.org/10.1016/j.ejor.2010.02.032openalex-snapshot
A discrete particle swarm optimization method for feature selection in binary classification problems
inferredcites →https://doi.org/10.1016/j.eswa.2008.01.009openalex-snapshot
Support vector machines combined with feature selection for breast cancer diagnosis
inferredcites →https://doi.org/10.1016/j.eswa.2011.01.077openalex-snapshot
A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification
inferredcites →https://doi.org/10.1016/j.eswa.2011.01.120openalex-snapshot
A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis
inferredcites →https://doi.org/10.1016/j.imavis.2013.12.013openalex-snapshot
Sparse feature selection based on graph Laplacian for web image annotation
inferredcites →https://doi.org/10.1016/j.ins.2010.05.037openalex-snapshot
mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification
inferredcites →https://doi.org/10.1016/j.ins.2010.08.047openalex-snapshot
Simultaneous feature selection and classification using kernel-penalized support vector machines
inferredcites →https://doi.org/10.1016/j.ins.2014.01.008openalex-snapshot
Embedded local feature selection within mixture of experts
inferredcites →https://doi.org/10.1016/j.ins.2014.03.072openalex-snapshot
A comparative study of suboptimal branch and bound algorithms
inferredcites →https://doi.org/10.1016/j.ins.2014.05.042openalex-snapshot
A review of microarray datasets and applied feature selection methods
inferredcites →https://doi.org/10.1016/j.jbi.2009.07.008openalex-snapshot
A novel feature selection approach for biomedical data classification
inferredcites →https://doi.org/10.1016/j.jfranklin.2014.04.021openalex-snapshot
Embedded feature-selection support vector machine for driving pattern recognition
inferredcites →https://doi.org/10.1016/j.knosys.2011.04.006openalex-snapshot
A new feature selection algorithm based on binomial hypothesis testing for spam filtering
inferredcites →https://doi.org/10.1016/j.knosys.2011.04.014openalex-snapshot
A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm
inferredcites →https://doi.org/10.1016/j.knosys.2012.10.011openalex-snapshot
A simultaneous feature adaptation and feature selection method for content-based image retrieval systems
inferredcites →https://doi.org/10.1016/j.neucom.2007.06.014openalex-snapshot
Locality sensitive semi-supervised feature selection
inferredcites →https://doi.org/10.1016/j.neucom.2012.05.031openalex-snapshot
Efficient semi-supervised feature selection with noise insensitive trace ratio criterion
inferredcites →https://doi.org/10.1016/j.neucom.2012.10.028openalex-snapshot
A graph Laplacian based approach to semi-supervised feature selection for regression problems
inferredcites →https://doi.org/10.1016/j.neucom.2013.01.014openalex-snapshot
Effective search for genetic-based machine learning systems via estimation of distribution algorithms and embedded feature reduction techniques
inferredcites →https://doi.org/10.1016/j.neucom.2014.07.037openalex-snapshot
The graph based semi-supervised algorithm with ℓ1-regularizer
inferredcites →https://doi.org/10.1016/j.neucom.2015.05.119openalex-snapshot
Semi-supervised feature selection based on local discriminative information
inferredcites →https://doi.org/10.1016/j.patcog.2007.10.009openalex-snapshot
Constraint Score: A new filter method for feature selection with pairwise constraints
inferredcites →https://doi.org/10.1016/j.patcog.2011.10.008openalex-snapshot
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction
inferredcites →https://doi.org/10.1016/j.patcog.2013.01.002openalex-snapshot
Aggregation pheromone metaphor for semi-supervised classification
inferredcites →https://doi.org/10.1016/j.patcog.2013.10.009openalex-snapshot
Efficient feature size reduction via predictive forward selection
inferredcites →https://doi.org/10.1016/j.patcog.2014.02.015openalex-snapshot
Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems
inferredcites →https://doi.org/10.1016/j.patrec.2010.12.014openalex-snapshot
Constraint scores for semi-supervised feature selection: A comparative study
inferredcites →https://doi.org/10.1016/j.patrec.2012.03.001openalex-snapshot
A semi-supervised feature ranking method with ensemble learning
inferredcites →https://doi.org/10.1016/j.patrec.2014.03.002openalex-snapshot
Suboptimal branch and bound algorithms for feature subset selection: A comparative study
inferredcites →https://doi.org/10.1016/j.procs.2014.05.310openalex-snapshot
A Novel Feature Selection Method based on an Integrated Data Envelopment Analysis and Entropy Model
inferredcites →https://doi.org/10.1016/j.snb.2013.01.088openalex-snapshot
Optimal feature selection for classifying a large set of chemicals using metal oxide sensors
inferredcites →https://doi.org/10.1088/1126-6708/2006/12/064openalex-snapshot
Giants on deformed backgrounds
inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
inferredcites →https://doi.org/10.1109/34.990133openalex-snapshot
Unsupervised feature selection using feature similarity
inferredcites →https://doi.org/10.1109/aimsec.2011.6010202openalex-snapshot
Confident wrapper-type semi-supervised feature selection using an ensemble classifier
inferredcites →https://doi.org/10.1109/cis.2008.204openalex-snapshot
A Survey of Semi-Supervised Learning Methods
inferredcites →https://doi.org/10.1109/fskd.2013.6816279openalex-snapshot
Manifold based fisher method for semi-supervised feature selection
inferredcites →https://doi.org/10.1109/icalip.2010.5685086openalex-snapshot
Graph-based semi-supervised weighted band selection for classification of hyperspectral data
inferredcites →https://doi.org/10.1109/iccia.2010.6141595openalex-snapshot
Semi-supervised feature selection based on label propagation and subset selection
inferredcites →https://doi.org/10.1109/iccis.2011.54openalex-snapshot
A Semi-supervised Method for Feature Selection
inferredcites →https://doi.org/10.1109/icdm.2011.129openalex-snapshot
Semi-supervised Feature Importance Evaluation with Ensemble Learning
inferredcites →https://doi.org/10.1109/icdm.2011.42openalex-snapshot
Constraint Selection-Based Semi-supervised Feature Selection
inferredcites →https://doi.org/10.1109/icmlc.2010.5581007openalex-snapshot
Semi_Fisher Score: A semi-supervised method for feature selection
inferredcites →https://doi.org/10.1109/icmlc.2011.6016706openalex-snapshot
Random subspace based semi-supervised feature selection
inferredcites →https://doi.org/10.1109/icnc.2007.666openalex-snapshot
Simultaneous Feature Selection and Classification via Semi-Supervised Models
inferredcites →https://doi.org/10.1109/icpr.2008.4761687openalex-snapshot
Semi-supervised feature selection under logistic I-RELIEF framework
inferredcites →https://doi.org/10.1109/iranianmvip.2011.6121605openalex-snapshot
Improvement of Supervised Shape Retrieval by Learning the Manifold Space
inferredcites →https://doi.org/10.1109/isbi.2009.5193034openalex-snapshot
Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data
inferredcites →https://doi.org/10.1109/lgrs.2010.2048197openalex-snapshot
Semisupervised Feature Selection for Unbalanced Sample Sets of VHR Images
inferredcites →https://doi.org/10.1109/lsp.2007.898300openalex-snapshot
Exact Reconstruction of Sparse Signals via Nonconvex Minimization
inferredcites →https://doi.org/10.1109/tcbb.2015.2478454openalex-snapshot
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection
inferredcites →https://doi.org/10.1109/tip.2010.2044958openalex-snapshot
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
inferredcites →https://doi.org/10.1109/tkde.2003.1245283openalex-snapshot
Benchmarking attribute selection techniques for discrete class data mining
inferredcites →https://doi.org/10.1109/tkde.2013.86openalex-snapshot
Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy
inferredcites →https://doi.org/10.1109/tmm.2012.2199293openalex-snapshot
Discriminating Joint Feature Analysis for Multimedia Data Understanding
inferredcites →https://doi.org/10.1109/tnn.2010.2047114openalex-snapshot
Discriminative Semi-Supervised Feature Selection Via Manifold Regularization
inferredcites →https://doi.org/10.1109/tnnls.2012.2197412openalex-snapshot
$L_{1/2}$ Regularization: A Thresholding Representation Theory and a Fast Solver
inferredcites →https://doi.org/10.1109/tnnls.2014.2314123openalex-snapshot
Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition
inferredcites →https://doi.org/10.1109/tnnls.2014.2315526openalex-snapshot
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
inferredcites →https://doi.org/10.1109/tsmcb.2012.2227469openalex-snapshot
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
inferredcites →https://doi.org/10.1137/1.9781611972771.75openalex-snapshot
Semi-supervised Feature Selection via Spectral Analysis
inferredcites →https://doi.org/10.1145/2072298.2072336openalex-snapshot
Exploiting the entire feature space with sparsity for automatic image annotation
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A Semisupervised Feature Selection with Support Vector Machine
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A semi-supervised feature selection method using a non-parametric technique with pairwise instance constraints
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Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction
inferredcites →https://doi.org/10.1186/1471-2105-14-s14-s16openalex-snapshot
Drug activity prediction using multiple-instance learning via joint instance and feature selection
inferredcites →https://doi.org/10.1186/1471-2105-9-s6-s7openalex-snapshot
Asymmetric bagging and feature selection for activities prediction of drug molecules
inferredcites →https://doi.org/10.14445/22312803/ijctt-v8p105openalex-snapshot
A Survey On Semi-Supervised Learning Techniques
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Efficient Spectral Feature Selection with Minimum Redundancy
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A Convex Formulation for Semi-Supervised Multi-Label Feature Selection
inferredcites →https://doi.org/10.2200/s00196ed1v01y200906aim006openalex-snapshot
Introduction to Semi-Supervised Learning
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Generalized Fisher Score for Feature Selection
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An introduction to variable and feature selection
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Neural networks for pattern recognition
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Semi-Supervised Learning

What points at this work

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

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Constrained feature weighting for semi-supervised learning
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Sparse low-redundancy multi-label feature selection with adaptive dynamic dual graph constraints
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A survey on semi-supervised learning
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Graph-based semi-supervised learning via improving the quality of the graph dynamically
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Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders
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Feature ranking for semi-supervised learning
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Completed sample correlations and feature dependency-based unsupervised feature selection
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Mutual information-based filter hybrid feature selection method for medical datasets using feature clustering
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A proposal of quantum data representation to improve the discrimination power
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Semi-supervised One-Pass Multi-view Learning with Variable Features and Views
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Weighting Approaches in Data Mining and Knowledge Discovery: A Review
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A novel conditional discrimination index approach for feature selection in partially labeled hybrid data
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SSMIM: Semi-supervised Multimodal Interaction Model for real-time conversational emotion recognition
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A reinforcement learning-based load balancing algorithm for fog computing
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Hybrid Global Sensitivity Analysis Based Optimal Attribute Selection Using Classification Techniques by Machine Learning Algorithm
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Detecting Unknown Shilling Attacks in Recommendation Systems
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Multi-objective optimization of feature selection using hybrid cat swarm optimization
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Semi-supervised local feature selection for data classification
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Modeling visual aesthetic perception: bridges between computed texture features and perceived beauty qualities in semantic experiments
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Active learning of constraints for weighted feature selection
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Semi-supervised federated learning fault diagnosis method driven by teacher-student model consistency
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Semi-supervised methane gas concentration detection model based on TDLAS technology
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Discrimination of Tomato Maturity Using Hyperspectral Imaging Combined with Graph-Based Semi-supervised Method Considering Class Probability Information
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Incorporating manifold regularization into adaptive label thresholding algorithm for online semi-supervised multi-label classification
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Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks
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Parametric and nonparametric correlation ranking based supervised feature selection methods for skin segmentation
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A recursive feature retention method for semi-supervised feature selection
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Ensemble of feature selection algorithms: a multi-criteria decision-making approach
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Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
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MSSL: a memetic-based sparse subspace learning algorithm for multi-label classification
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Semi-supervised filter feature selection based on natural Laplacian score and maximal information coefficient
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Self-representation with adaptive loss minimization via doubly stochastic graph regularization for robust unsupervised feature selection
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An ensemble deep learning classifier of entropy convolutional neural network and divergence weight bidirectional LSTM for efficient disease prediction
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PSO-based feature selection techniques—challenges and methodologies: a review
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Sparse semi-supervised multi-label feature selection based on latent representation
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Dwarf mongoose-tree-based analysis for estimating the frost durability of recycled aggregate concrete
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An Empirical Evaluation of Constrained Feature Selection
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Laplacian Regularization Based Unsupervised Feature Selection Using Extreme Learning Machine
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FSBOA: feature selection using bat optimization algorithm for software fault detection
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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data
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Semi-supervised feature selection via fuzzy C-means clustering and simulated annealing optimization
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Comprehensive Chemometrics
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Hybrid feature selection-based feature fusion for liver disease classification on ultrasound images
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Analysis of supervised feature selection in bioinformatics
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Computational fluid dynamics approaches leveraging artificial intelligence
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Semi-supervised soft margin consistency based multi-view maximum entropy discrimination
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Considering integrated information on environmental features and neighborhood deformation: A missing value filling framework for arch dam deformation sequence
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A scientist's guide to AI-driven molecular discovery
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges
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Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
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Beyond tabular data: Feature extraction and selection for high-dimensional data
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Sparse feature selection: Relevance, redundancy and locality structure preserving guided by pairwise constraints
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Robust sparse low-rank embedding for image dimension reduction
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Simultaneous local and global clustering guided multi-view unsupervised feature selection
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Pseudo-label semi-supervised feature selection based on adaptive peak hyper-interval granulation
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Constraint score for semi-supervised feature selection in ligand-and receptor-based QSAR on serine/threonine-protein kinase PLK3 inhibitors
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BRNS + SSFSM-DTI: A hybrid method for drug-target interaction prediction based on balanced reliable negative samples and semi-supervised feature selection
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A unified view of feature selection based on Hilbert-Schmidt independence criterion
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Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study
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Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection
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A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery
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An interpretable machine learning model for predicting bond strength of CFRP-steel epoxy-bonded interface
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Prediction of the frost resistance of high-performance concrete based on RF-REF: A hybrid prediction approach
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Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection
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A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis
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Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification
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Latent energy preserving embedding for unsupervised feature selection
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The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes: A systematic review
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Marriage between variable selection and prediction methods to model plant disease risk
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A review on graph-based semi-supervised learning methods for hyperspectral image classification
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Investigating critical model input features for unitary air conditioning equipment
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Liver fibrosis diagnosis support using the Dempster–Shafer theory extended for fuzzy focal elements
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Unsupervised feature selection via graph matrix learning and the low-dimensional space learning for classification
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Artificial intelligence for the metaverse: A survey
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Multi-filter semi-supervised transformer model for fault diagnosis
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A tutorial-based survey on feature selection: Recent advancements on feature selection
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Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets
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Machine-learning-assisted design of cathode catalysts for metal-sulfur/oxygen/carbon dioxide batteries
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Early prediction of cycle life for lithium-ion batteries based on evolutionary computation and machine learning
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Selection of spectral features for land cover type classification
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A recent overview of the state-of-the-art elements of text classification
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Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism
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A systematic evaluation of filter Unsupervised Feature Selection methods
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Two stage deep learning for prognostics using multi-loss encoder and convolutional composite features
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Feature Selection for Classification using Principal Component Analysis and Information Gain
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A pareto-based ensemble of feature selection algorithms
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VMFS: A VIKOR-based multi-target feature selection
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Automatic recommendation of feature selection algorithms based on dataset characteristics
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A multiple association-based unsupervised feature selection algorithm for mixed data sets
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SemiACO: A semi-supervised feature selection based on ant colony optimization
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Minimising redundancy, maximising relevance: HRV feature selection for stress classification
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An intelligent garment for online fetal well-being monitoring
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Semi-supervised attribute reduction for heterogeneous data based on misclassification cost and self-information
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A multi-stage anomaly detection scheme for augmenting the security in IoT-enabled applications
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Semi-supervised learning for the spatial extrapolation of soil information
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Rough set-based feature selection for weakly labeled data
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Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach
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Consultation length and no-show prediction for improving appointment scheduling efficiency at a cardiology clinic: A data analytics approach
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Joint feature weighting and adaptive graph-based matrix regression for image supervised feature Selection
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Incremental unsupervised feature selection for dynamic incomplete multi-view data
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Semi-supervised attribute reduction based on label distribution and label irrelevance
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A multi-scale information fusion-based multiple correlations for unsupervised attribute selection
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Self-paced semi-supervised feature selection with application to multi-modal Alzheimer’s disease classification
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Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems
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A robust graph-based semi-supervised sparse feature selection method
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Supervised feature selection using integration of densest subgraph finding with floating forward–backward search
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Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels
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Adaptive graph learning for semi-supervised feature selection with redundancy minimization
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An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization
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A joint multiobjective optimization of feature selection and classifier design for high-dimensional data classification
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Efficient multi-view semi-supervised feature selection
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Weight-based label-unknown multi-view data set generation approach
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Unsupervised feature selection via graph-based proximity and structured autoencoder-like NMF
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A novel semisupervised classification framework for coupling faults in hot rolling mill process
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Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
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Mussel culture monitoring with semi-supervised machine learning on multibeam echosounder data using label spreading
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SMFNM: Semi-supervised multimodal fusion network with main-modal for real-time emotion recognition in conversations
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Identifying intrinsic factors for ductile-to-brittle transition temperatures in Fe–Al intermetallics via machine learning
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Cross-evaluation of a parallel operating SVM – CNN classifier for reliable internal decision-making processes in composite inspection
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Comparison of dimensionality reduction and feature selection for cognitive task decoding using functional connectivity
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Machine Learning Utilized for the Development of Proton Exchange Membrane Electrolyzers
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Green learning: Introduction, examples and outlook
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Rough set based semi-supervised feature selection via ensemble selector
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Semi-supervised neighborhood discrimination index for feature selection
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MFS-MCDM: Multi-label feature selection using multi-criteria decision making
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Similarity-based constraint score for feature selection
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Neighborhood rough sets with distance metric learning for feature selection
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A self-adaptive weighted differential evolution approach for large-scale feature selection
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Semi-supervised feature selection via adaptive structure learning and constrained graph learning
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A-SFS: Semi-supervised feature selection based on multi-task self-supervision
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