Dual Regularized Unsupervised Feature Selection Based on Matrix Factorization and Minimum Redundancy with application in gene selection

A novel multi-objective medical feature selection compass method for binary classification

(2022) Nicolas Gutowski et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Graph-based relevancy-redundancy gene selection method for cancer diagnosis

(2022) Saeid Azadifar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Decoding clinical biomarker space of COVID-19: Exploring matrix factorization-based feature selection methods

(2022) Farshad Saberi-Movahed et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep unsupervised feature selection by discarding nuisance and correlated features

(2022) Uri Shaham et al.   NEURAL NETWORKS

Review of swarm intelligence-based feature selection methods

(2021) Mehrdad Rostami et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Adaptive graph-based generalized regression model for unsupervised feature selection

(2021) Yanyong Huang et al.   KNOWLEDGE-BASED SYSTEMS

High dimensionality reduction by matrix factorization for systems pharmacology

(2021) Adel Mehrpooya et al.   BRIEFINGS IN BIOINFORMATICS

Incremental feature selection for dynamic hybrid data using neighborhood rough set

(2020) Wenhao Shu et al.   KNOWLEDGE-BASED SYSTEMS

Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule

(2020) Abdul Wahid et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification

(2020) Osman Gokalp et al.   EXPERT SYSTEMS WITH APPLICATIONS

Joint imbalanced classification and feature selection for hospital readmissions

(2020) Guodong Du et al.   KNOWLEDGE-BASED SYSTEMS

An embedded gene selection method using knockoffs optimizing neural network

(2020) Juncheng Guo et al.   BMC BIOINFORMATICS

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance

(2020) Golnaz Sahebi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Unsupervised feature selection based on adaptive similarity learning and subspace clustering

(2020) Mohsen Ghassemi Parsa et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An efficient hybrid feature selection method to identify potential biomarkers in common chronic lung inflammatory diseases

(2020) Mazaher Maghsoudloo et al.   GENOMICS

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

(2020) Seçkin Karasu et al.   ENERGY

Mutual information based feature subset selection in multivariate time series classification

(2020) Josu Ircio et al.   PATTERN RECOGNITION

An efficient multivariate feature ranking method for gene selection in high-dimensional microarray data

(2020) Junghye Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Pairwise dependence-based unsupervised feature selection

(2020) Hyunki Lim et al.   PATTERN RECOGNITION

Robust Unsupervised Feature Selection by Nonnegative Sparse Subspace Learning

(2019) Wei Zheng et al.   NEUROCOMPUTING

Flexible unsupervised feature extraction for image classification

(2019) Yang Liu et al.   NEURAL NETWORKS

A review of unsupervised feature selection methods

(2019) Saúl Solorio-Fernández et al.   ARTIFICIAL INTELLIGENCE REVIEW

Feature selection for imbalanced data based on neighborhood rough sets

(2019) Hongmei Chen et al.   INFORMATION SCIENCES

Unsupervised feature selection via latent representation learning and manifold regularization

(2019) Chang Tang et al.   NEURAL NETWORKS

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

(2019) Md. Maniruzzaman et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection

(2019) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

C-HMOSHSSA: Gene selection for cancer classification using multi-objective meta-heuristic and machine learning methods

(2019) Aman Sharma et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression

(2019) Francielly Morais-Rodrigues et al.   GENE

A novel multivariate filter method for feature selection in text classification problems

(2018) Mahdieh Labani et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Dual regularized multi-view non-negative matrix factorization for clustering

(2018) Peng Luo et al.   NEUROCOMPUTING

Unsupervised feature selection by regularized matrix factorization

(2018) Miao Qi et al.   NEUROCOMPUTING

Deep Learning and Its Applications in Biomedicine

(2018) Chensi Cao et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

A factor graph model for unsupervised feature selection

(2018) Hongjun Wang et al.   INFORMATION SCIENCES

Orthogonal self-guided similarity preserving projection for classification and clustering

(2017) Xiaozhao Fang et al.   NEURAL NETWORKS

Subspace learning-based graph regularized feature selection

(2016) Ronghua Shang et al.   KNOWLEDGE-BASED SYSTEMS

Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection

(2016) Nan Zhou et al.   PATTERN RECOGNITION

Embedded feature-selection support vector machine for driving pattern recognition

(2015) Xing Zhang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Selecting feature subset with sparsity and low redundancy for unsupervised learning

(2015) Jiuqi Han et al.   KNOWLEDGE-BASED SYSTEMS

Unsupervised feature selection via maximum projection and minimum redundancy

(2015) Shiping Wang et al.   KNOWLEDGE-BASED SYSTEMS

Relevance–redundancy feature selection based on ant colony optimization

(2015) Sina Tabakhi et al.   PATTERN RECOGNITION

Subspace learning for unsupervised feature selection via matrix factorization

(2015) Shiping Wang et al.   PATTERN RECOGNITION

Unsupervised feature selection by regularized self-representation

(2015) Pengfei Zhu et al.   PATTERN RECOGNITION

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

Computational identification of human long intergenic non-coding RNAs using a GA–SVM algorithm

(2013) Yanqiu Wang et al.   GENE

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

(2012) Jordi Barretina et al.   NATURE

Kupffer cells promote hepatic steatosis via interleukin-1β-dependent suppression of peroxisome proliferator-activated receptor α activity

(2009) Rinke Stienstra et al.   HEPATOLOGY

Fuzzy Logic for Elimination of Redundant Information of Microarray Data

(2008) Edmundo Bonilla Huerta et al.   GENOMICS PROTEOMICS & BIOINFORMATICS