Feature selection using symmetric uncertainty and hybrid optimization for high-dimensional data
暂无分享,去创建一个
Lin Sun | Weiping Ding | Shujing Sun | Leqi Chen | Xinyue Huang | Peiyi Fan | Kunyu Li
[1] Wangwang Li,et al. Symmetric uncertainty based decomposition multi-objective immune algorithm for feature selection , 2023, Swarm Evol. Comput..
[2] Jiucheng Xu,et al. TFSFB: Two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data , 2023, Inf. Fusion.
[3] Wenshan Li,et al. A hybrid Artificial Immune optimization for high-dimensional feature selection , 2022, Knowl. Based Syst..
[4] Jiucheng Xu,et al. TSFNFR: Two-stage fuzzy neighborhood-based feature reduction with binary whale optimization algorithm for imbalanced data classification , 2022, Knowl. Based Syst..
[5] Jiucheng Xu,et al. AFNFS: Adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data , 2022, Inf. Sci..
[6] Yancang Li,et al. Hybrid Multi‐Strategy Improved Wild Horse Optimizer , 2022, Adv. Intell. Syst..
[7] Yanyan Yang,et al. Incremental feature selection by sample selection and feature-based accelerator , 2022, Appl. Soft Comput..
[8] Hakan Ezgi Kiziloz,et al. A comprehensive survey on recent metaheuristics for feature selection , 2022, Neurocomputing.
[9] Ahmed M. Hagag,et al. A hybrid GA and PSO optimized approach for heart-disease prediction based on random forest , 2022, Multimedia Tools and Applications.
[10] Anhui Tan,et al. Two‐stage‐neighborhood‐based multilabel classification for incomplete data with missing labels , 2022, Int. J. Intell. Syst..
[11] R. Goel,et al. mRMR-PSO: A Hybrid Feature Selection Technique with a Multiobjective Approach for Sign Language Recognition , 2022, Arabian Journal for Science and Engineering.
[12] Jiucheng Xu,et al. Feature reduction for imbalanced data classification using similarity-based feature clustering with adaptive weighted K-nearest neighbors , 2022, Inf. Sci..
[13] K. Balakrishnan,et al. A novel control factor and Brownian motion-based improved Harris Hawks Optimization for feature selection , 2022, Journal of Ambient Intelligence and Humanized Computing.
[14] Weihua Xu,et al. Dynamic updating approximations of local generalized multigranulation neighborhood rough set , 2022, Applied Intelligence.
[15] Jiucheng Xu,et al. Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification , 2021, Inf. Sci..
[16] Zahid Halim,et al. An ensemble filter-based heuristic approach for cancerous gene expression classification , 2021, Knowl. Based Syst..
[17] Yong Shen,et al. A Particle Swarm Algorithm Based on a Multi-Stage Search Strategy , 2021, Entropy.
[18] Eghbal Mansoori,et al. Unsupervised fuzzy multivariate symmetric uncertainty feature selection based on constructing virtual cluster representative , 2021, Fuzzy Sets Syst..
[19] Farshid Keynia,et al. Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems , 2021, Engineering with Computers.
[20] Chandrashekhar Azad,et al. A multi-objective feature selection method using Newton's law based PSO with GWO , 2021, Appl. Soft Comput..
[21] Dun-Wei Gong,et al. Feature selection using bare-bones particle swarm optimization with mutual information , 2021, Pattern Recognit..
[22] Licheng Jiao,et al. A two-stage hybrid ant colony optimization for high-dimensional feature selection , 2021, Pattern Recognit..
[23] Jiucheng Xu,et al. Multilabel feature selection using ML-ReliefF and neighborhood mutual information for multilabel neighborhood decision systems , 2020, Inf. Sci..
[24] Yuhua Qian,et al. Neighborhood multi-granulation rough sets-based attribute reduction using Lebesgue and entropy measures in incomplete neighborhood decision systems , 2020, Knowl. Based Syst..
[25] Berat A. Erol,et al. An efficient unsupervised feature selection procedure through feature clustering , 2020, Pattern Recognit. Lett..
[26] Bo Shen,et al. A novel swarm intelligence optimization approach: sparrow search algorithm , 2020 .
[27] Mohammad Teshnehlab,et al. Symmetric uncertainty class-feature association map for feature selection in microarray dataset , 2020, Int. J. Mach. Learn. Cybern..
[28] Mengjie Zhang,et al. Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification , 2019, ACM Trans. Knowl. Discov. Data.
[29] Ke Chen,et al. Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection , 2019, Expert Syst. Appl..
[30] Mohammad Najmud Doja,et al. Hybrid Filter–Wrapper Feature Selection Method for Sentiment Classification , 2019, Arabian Journal for Science and Engineering.
[31] Lin Sun,et al. Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation , 2019, Complex..
[32] Qinbao Song,et al. A new unsupervised feature selection algorithm using similarity‐based feature clustering , 2018, Comput. Intell..
[33] Zeinab Dehghan,et al. A new feature subset selection using bottom-up clustering , 2018, Pattern Analysis and Applications.
[34] Dun-Wei Gong,et al. A return-cost-based binary firefly algorithm for feature selection , 2017, Inf. Sci..
[35] Micha Elsner,et al. Feature Selection , 2014, Computer Vision, A Reference Guide.
[36] Dun-Wei Gong,et al. Feature selection algorithm based on bare bones particle swarm optimization , 2015, Neurocomputing.
[37] Li-Yeh Chuang,et al. Gene selection and classification using Taguchi chaotic binary particle swarm optimization , 2011, Expert Syst. Appl..
[38] M. Friedman. A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings , 1940 .
[39] Weichan Zhong,et al. Selection of diverse features with a diverse regularization , 2021, Pattern Recognition.
[40] Yong Shi,et al. Feature Selection with Attributes Clustering by Maximal Information Coefficient , 2013, ITQM.