Related references
Note: Only part of the references are listed.A self-adaptive weighted differential evolution approach for large-scale feature selection
Xubin Wang et al.
KNOWLEDGE-BASED SYSTEMS (2022)
Binary Artificial Algae Algorithm for feature selection
Bahaeddin Turkoglu et al.
APPLIED SOFT COMPUTING (2022)
An improved loop subdivision to coordinate the smoothness and the number of faces via multi-objective optimization
Yaqian Liang et al.
INTEGRATED COMPUTER-AIDED ENGINEERING (2022)
Low-rank sparse feature selection for image classification
Weigang Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Online feature selection for multi-source streaming features
Dianlong You et al.
INFORMATION SCIENCES (2022)
Recursive elimination current algorithms and a distributed computing scheme to accelerate wrapper feature selection
Wei Liu et al.
INFORMATION SCIENCES (2022)
Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection
Ronghua Shang et al.
NEUROCOMPUTING (2022)
A cooperative genetic algorithm based on extreme learning machine for data classification
Lixia Bai et al.
SOFT COMPUTING (2022)
A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm
Omid Tarkhaneh et al.
INFORMATION SCIENCES (2021)
Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy
Jian Wang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Multiobjective Particle Swarm Optimization for Feature Selection With Fuzzy Cost
Ying Hu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
MLFS-CCDE: multi-objective large-scale feature selection by cooperative coevolutionary differential evolution
Haoran Li et al.
MEMETIC COMPUTING (2021)
A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification
Hong Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
Multi-objective optimization of concentrated Photovoltaic-Thermoelectric hybrid system via non-dominated sorting genetic algorithm (NSGA II)
Aminu Yusuf et al.
ENERGY CONVERSION AND MANAGEMENT (2021)
Feature selection using Binary Crow Search Algorithm with time varying flight length
Abhilasha Chaudhuri et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Dual space latent representation learning for unsupervised feature selection
Ronghua Shang et al.
PATTERN RECOGNITION (2021)
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms
Bach Hoai Nguyen et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)
Binary differential evolution with self-learning for multi-objective feature selection
Yong Zhang et al.
INFORMATION SCIENCES (2020)
Feature Selection for Neural Networks Using Group Lasso Regularization
Huaqing Zhang et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2020)
A dynamic locality multi-objective salp swarm algorithm for feature selection
Ibrahim Aljarah et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
An ACO-ANN based feature selection algorithm for big data
R. Joseph Manoj et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2019)
Learning to Decompose: A Paradigm for Decomposition-Based Multiobjective Optimization
Mengyuan Wu et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)
A Nested Genetic Algorithm for feature selection in high-dimensional cancer Microarray datasets
Sabah Sayed et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Evolving feedforward artificial neural networks using a two-stage approach
Li Zhang et al.
NEUROCOMPUTING (2019)
Hybrid fast unsupervised feature selection for high-dimensional data
Zhaleh Manbari et al.
EXPERT SYSTEMS WITH APPLICATIONS (2019)
Feature selection with multi-view data: A survey
Rui Zhang et al.
INFORMATION FUSION (2019)
A mixed-coding adaptive differential evolution for optimising the architecture and parameters of feedforward neural networks
Li Zhang et al.
INTERNATIONAL JOURNAL OF SENSOR NETWORKS (2019)
Multi-objective simplified swarm optimization with weighting scheme for gene selection
Chyh-Ming Lai
APPLIED SOFT COMPUTING (2018)
Feature Selection: A Data Perspective
Jundong Li et al.
ACM COMPUTING SURVEYS (2018)
A Survey on semi-supervised feature selection methods
Razieh Sheikhpour et al.
PATTERN RECOGNITION (2017)
A new Unsupervised Spectral Feature Selection Method for mixed data: A filter approach
Saul Solorio-Fernandez et al.
PATTERN RECOGNITION (2017)
Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO
Kai Sun et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Accelerating wrapper-based feature selection with K-nearest-neighbor
Aiguo Wang et al.
KNOWLEDGE-BASED SYSTEMS (2015)
Feature Selection Using a Neural Framework With Controlled Redundancy
Rudrasis Chakraborty et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
Kalyanmoy Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2014)
A new wrapper feature selection approach using neural network
Md Monirul Kabir et al.
NEUROCOMPUTING (2010)
A wrapper method for feature selection using Support Vector Machines
Sebastian Maldonado et al.
INFORMATION SCIENCES (2009)
Selecting useful groups of features in a connectionist framework
Debrup Chakraborty et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
Extreme learning machine: Theory and applications
Guang-Bin Huang et al.
NEUROCOMPUTING (2006)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)