Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets
出版年份 2022 全文链接
标题
Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets
作者
关键词
-
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 200, Issue -, Pages 116834
出版商
Elsevier BV
发表日期
2022-03-15
DOI
10.1016/j.eswa.2022.116834
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Detection of COVID-19 from CT scan images: A spiking neural network-based approach
- (2021) Avishek Garain et al. NEURAL COMPUTING & APPLICATIONS
- Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach
- (2021) Yash Karbhari et al. Diagnostics
- Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection
- (2021) Subhrajit Dey et al. COMPUTERS IN BIOLOGY AND MEDICINE
- COVID-19: Automatic detection from X-ray images by utilizing deep learning methods
- (2021) Bhawna Nigam et al. EXPERT SYSTEMS WITH APPLICATIONS
- AIEOU: Automata-based improved equilibrium optimizer with U-shaped transfer function for feature selection
- (2021) Shameem Ahmed et al. KNOWLEDGE-BASED SYSTEMS
- Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images
- (2021) Soham Das et al. Big Data Research
- Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans
- (2021) Rajarshi Bandyopadhyay et al. APPLIED SOFT COMPUTING
- A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
- (2020) Enes Kurtuluş et al. Materials Testing
- Embedded chaotic whale survival algorithm for filter–wrapper feature selection
- (2020) Ritam Guha et al. SOFT COMPUTING
- Deep learning approaches for COVID-19 detection based on chest X-ray images
- (2020) Aras M. Ismael et al. EXPERT SYSTEMS WITH APPLICATIONS
- Understanding panic buying during COVID-19: A text analytics approach
- (2020) Stuart J. Barnes et al. EXPERT SYSTEMS WITH APPLICATIONS
- Adaptive $$\beta -$$ β - hill climbing for optimization
- (2019) Mohammed Azmi Al-Betar et al. SOFT COMPUTING
- A wrapper-filter feature selection technique based on ant colony optimization
- (2019) Manosij Ghosh et al. NEURAL COMPUTING & APPLICATIONS
- A novel meta-heuristic optimization method based on golden ratio in nature
- (2019) Amin Foroughi Nematollahi et al. SOFT COMPUTING
- Feature selection for facial emotion recognition using late hill-climbing based memetic algorithm
- (2019) Manosij Ghosh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection
- (2019) Majdi Mafarja et al. Cognitive Computation
- A subset selection based approach to structural reducibility of complex networks
- (2019) Richa Tripathi et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A novel nature-inspired algorithm for optimization: Squirrel search algorithm
- (2018) Mohit Jain et al. Swarm and Evolutionary Computation
- Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods
- (2018) Manosij Ghosh et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm: An effective algorithm with new evolutionary operators for global optimization
- (2018) Ali Husseinzadeh Kashan et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
- (2017) Majdi M. Mafarja et al. NEUROCOMPUTING
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm
- (2016) Alireza Askarzadeh COMPUTERS & STRUCTURES
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- $$\beta$$ β -Hill climbing: an exploratory local search
- (2016) Mohammed Azmi Al-Betar NEURAL COMPUTING & APPLICATIONS
- Binary grey wolf optimization approaches for feature selection
- (2016) E. Emary et al. NEUROCOMPUTING
- Feature selection for linear SVM with provable guarantees
- (2016) Saurabh Paul et al. PATTERN RECOGNITION
- Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
- (2015) Seyedali Mirjalili et al. NEURAL COMPUTING & APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Near-Optimal Column-Based Matrix Reconstruction
- (2014) Christos Boutsidis et al. SIAM JOURNAL ON COMPUTING
- Black hole: A new heuristic optimization approach for data clustering
- (2012) Abdolreza Hatamlou INFORMATION SCIENCES
- S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization
- (2012) Seyedali Mirjalili et al. Swarm and Evolutionary Computation
- Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems
- (2011) R.V. Rao et al. COMPUTER-AIDED DESIGN
- GSA: A Gravitational Search Algorithm
- (2009) Esmat Rashedi et al. INFORMATION SCIENCES
- Biogeography-Based Optimization
- (2008) D. Simon IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Relative-Error $CUR$ Matrix Decompositions
- (2008) Petros Drineas et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
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