On the public citation graph
Generalized Gene Selection for Microarray Classification Via Improved Crested Porcupine Optimizer
0 signed · 74 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-22009-9_300654openalex-snapshot
Early Detection of Cancer
inferredcites →https://doi.org/10.1007/978-3-030-79150-6_6openalex-snapshot
Comparative Study of Embedded Feature Selection Methods on Microarray Data
inferredcites →https://doi.org/10.1007/978-981-15-7571-6openalex-snapshot
Metaheuristic and Evolutionary Computation: Algorithms and Applications
inferredcites →https://doi.org/10.1007/s00366-022-01604-xopenalex-snapshot
Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems
inferredcites →https://doi.org/10.1007/s00521-014-1743-5openalex-snapshot
How important is a transfer function in discrete heuristic algorithms
inferredcites →https://doi.org/10.1007/s00521-022-07661-zopenalex-snapshot
Feature selection methods in microarray gene expression data: a systematic mapping study
inferredcites →https://doi.org/10.1007/s005210070023openalex-snapshot
Feature Selection Using Probabilistic Neural Networks
inferredcites →https://doi.org/10.1007/s10462-019-09750-3openalex-snapshot
Feature selection in image analysis: a survey
inferredcites →https://doi.org/10.1007/s10462-022-10328-9openalex-snapshot
A survey on binary metaheuristic algorithms and their engineering applications
inferredcites →https://doi.org/10.1007/s10462-024-10747-wopenalex-snapshot
A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023
inferredcites →https://doi.org/10.1007/s11042-018-6083-5openalex-snapshot
Feature selection for text classification: A review
inferredcites →https://doi.org/10.1007/s11831-021-09648-wopenalex-snapshot
A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
inferredcites →https://doi.org/10.1007/s12065-019-00306-6openalex-snapshot
A study on metaheuristics approaches for gene selection in microarray data: algorithms, applications and open challenges
inferredcites →https://doi.org/10.1007/s40747-021-00637-xopenalex-snapshot
Feature dimensionality reduction: a review
inferredcites →https://doi.org/10.1016/0167-8655(94)90127-9openalex-snapshot
Floating search methods in feature selection
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.ajog.2006.07.001openalex-snapshot
Analysis of microarray experiments of gene expression profiling
inferredcites →https://doi.org/10.1016/j.asoc.2017.09.038openalex-snapshot
Correlation feature selection based improved-Binary Particle Swarm Optimization for gene selection and cancer classification
inferredcites →https://doi.org/10.1016/j.cam.2004.07.034openalex-snapshot
Genetic algorithms for modelling and optimisation
inferredcites →https://doi.org/10.1016/j.cma.2020.113609openalex-snapshot
The Arithmetic Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.compbiolchem.2022.107809openalex-snapshot
Improved intelligent water drop-based hybrid feature selection method for microarray data processing
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.105051openalex-snapshot
Feature selection methods on gene expression microarray data for cancer classification: A systematic review
inferredcites →https://doi.org/10.1016/j.cosrev.2023.100559openalex-snapshot
Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.csda.2019.106839openalex-snapshot
Benchmark for filter methods for feature selection in high-dimensional classification data
inferredcites →https://doi.org/10.1016/j.engappai.2021.104210openalex-snapshot
Review of swarm intelligence-based feature selection methods
inferredcites →https://doi.org/10.1016/j.eswa.2005.07.019openalex-snapshot
An effective refinement strategy for KNN text classifier
inferredcites →https://doi.org/10.1016/j.eswa.2018.06.057openalex-snapshot
Recursive Memetic Algorithm for gene selection in microarray data
inferredcites →https://doi.org/10.1016/j.eswa.2021.116158openalex-snapshot
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
inferredcites →https://doi.org/10.1016/j.future.2019.02.028openalex-snapshot
Harris hawks optimization: Algorithm and applications
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.jestch.2023.101453openalex-snapshot
A binary chaotic horse herd optimization algorithm for feature selection
inferredcites →https://doi.org/10.1016/j.jksuci.2019.11.007openalex-snapshot
A new binary grasshopper optimization algorithm for feature selection problem
inferredcites →https://doi.org/10.1016/j.knosys.2021.107804openalex-snapshot
Multi-objective feature selection based on quasi-oppositional based Jaya algorithm for microarray data
inferredcites →https://doi.org/10.1016/j.matcom.2023.12.022openalex-snapshot
An adaptive ranking moth flame optimizer for feature selection
inferredcites →https://doi.org/10.1016/j.neucom.2019.10.118openalex-snapshot
A comprehensive survey on support vector machine classification: Applications, challenges and trends
inferredcites →https://doi.org/10.1016/j.neucom.2022.04.083openalex-snapshot
A comprehensive survey on recent metaheuristics for feature selection
inferredcites →https://doi.org/10.1016/j.swevo.2011.02.002openalex-snapshot
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
inferredcites →https://doi.org/10.1016/j.swevo.2017.09.010openalex-snapshot
Opposition based learning: A literature review
inferredcites →https://doi.org/10.1016/j.swevo.2021.100888openalex-snapshot
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
inferredcites →https://doi.org/10.1023/a:1012487302797openalex-snapshot
Gene Selection for Cancer Classification using Support Vector Machines
inferredcites →https://doi.org/10.1038/s41746-021-00521-5openalex-snapshot
Digital medicine and the curse of dimensionality
inferredcites →https://doi.org/10.1080/0952813x.2023.2183267openalex-snapshot
A review of feature selection methods based on meta-heuristic algorithms
inferredcites →https://doi.org/10.1080/21642583.2019.1708830openalex-snapshot
A novel swarm intelligence optimization approach: sparrow search algorithm
inferredcites →https://doi.org/10.1093/bioinformatics/bti033openalex-snapshot
A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
inferredcites →https://doi.org/10.1093/bioinformatics/btm344openalex-snapshot
A review of feature selection techniques in bioinformatics
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/access.2020.3029890openalex-snapshot
Gene Selection Using Hybrid Multi-Objective Cuckoo Search Algorithm With Evolutionary Operators for Cancer Microarray Data
inferredcites →https://doi.org/10.1109/access.2021.3056407openalex-snapshot
Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
inferredcites →https://doi.org/10.1109/cimca.2005.1631345openalex-snapshot
Opposition-Based Learning: A New Scheme for Machine Intelligence
inferredcites →https://doi.org/10.1109/i4ct.2014.6914146openalex-snapshot
Advantage and drawback of support vector machine functionality
inferredcites →https://doi.org/10.1109/icemis.2016.7745366openalex-snapshot
Review on wrapper feature selection approaches
inferredcites →https://doi.org/10.1109/icmlc.2008.4621102openalex-snapshot
The application of ant colony optimization for gene selection in microarray-based cancer classification
inferredcites →https://doi.org/10.1109/idap.2018.8620828openalex-snapshot
Comparative Analysis of Transfer Function-based Binary Metaheuristic Algorithms for Feature Selection
inferredcites →https://doi.org/10.1109/ijcnn.2010.5596450openalex-snapshot
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory
inferredcites →https://doi.org/10.1109/tc.1977.1674939openalex-snapshot
A Branch and Bound Algorithm for Feature Subset Selection
inferredcites →https://doi.org/10.1109/tevc.2015.2504420openalex-snapshot
A Survey on Evolutionary Computation Approaches to Feature Selection
inferredcites →https://doi.org/10.1146/annurev.bioeng.4.020702.153438openalex-snapshot
DNA Microarray Technology: Devices, Systems, and Applications
inferredcites →https://doi.org/10.1155/2020/8896570openalex-snapshot
Binary Political Optimizer for Feature Selection Using Gene Expression Data
inferredcites →https://doi.org/10.1186/1471-2105-7-3openalex-snapshot
Gene selection and classification of microarray data using random forest
inferredcites →https://doi.org/10.1186/s12859-023-05267-3openalex-snapshot
Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data
inferredcites →https://doi.org/10.1186/s41044-016-0014-0openalex-snapshot
Big data preprocessing: methods and prospects
inferredcites →https://doi.org/10.3390/app13010564openalex-snapshot
Binary Starling Murmuration Optimizer Algorithm to Select Effective Features from Medical Data
inferredcites →https://doi.org/10.3390/biomimetics8030310openalex-snapshot
Binary Sand Cat Swarm Optimization Algorithm for Wrapper Feature Selection on Biological Data
inferredcites →https://doi.org/10.3390/computers10110136openalex-snapshot
B-MFO: A Binary Moth-Flame Optimization for Feature Selection from Medical Datasets
inferredcites →https://doi.org/10.3390/drones7070427openalex-snapshot
Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones
inferredcites →https://doi.org/10.3390/math10030464openalex-snapshot
A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem
inferredcites →https://doi.org/10.3390/math10111929openalex-snapshot
Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study
inferredcites →https://doi.org/10.38094/jastt1224openalex-snapshot
A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction
inferredcites →https://doi.org/10.5306/wjco.v7.i1.54openalex-snapshot
Historical review of the causes of cancer
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.