Controlling Feature Selection in Random Forests of Decision Trees Using a Genetic Algorithm: Classification of Class I MHC Peptides

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/138620709788488984 ◽

2009 ◽

Vol 12 (5) ◽

pp. 514-519 ◽

Author(s):

Loren Hansen ◽

Ernestine Lee ◽

Kevin Hestir ◽

Lewis Williams ◽

David Farrelly

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Decision Trees ◽

Random Forests ◽

Class I ◽

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Optimal Feature Selection for Decision Trees Induction Using a Genetic Algorithm Wrapper - A Model Approach

Strategic Innovative Marketing and Tourism - Springer Proceedings in Business and Economics ◽

10.1007/978-3-030-36126-6_65 ◽

2020 ◽

pp. 583-591

Author(s):

Prokopis K. Theodoridis ◽

Dimitris C. Gkikas

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Decision Trees ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature ◽

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Genetic Algorithm-Based Feature Selection and Optimization of Backpropagation Neural Network Parameters for Classification of Breast Cancer Using MicroRNA Profiles

2019 3rd International Conference on Informatics and Computational Sciences (ICICoS) ◽

10.1109/icicos48119.2019.8982530 ◽

2019 ◽

Author(s):

Amazona Adorada ◽

Adi Wibowo

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Genetic Algorithm ◽

Feature Selection ◽

Backpropagation Neural Network ◽

Network Parameters

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Classification of spammer and nonspammer content in online social network using genetic algorithm-based feature selection

Enterprise Information Systems ◽

10.1080/17517575.2020.1712742 ◽

2020 ◽

Vol 14 (5) ◽

pp. 710-736

Author(s):

Somya Ranjan Sahoo ◽

B. B. Gupta

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Social Network ◽

Online Social Network

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Hybrid biogeography based simultaneous feature selection and MHC class I peptide binding prediction using support vector machines and random forests

Journal of Immunological Methods ◽

10.1016/j.jim.2012.09.013 ◽

2013 ◽

Vol 387 (1-2) ◽

pp. 284-292 ◽

Author(s):

Atulji Srivastava ◽

Shameek Ghosh ◽

N. Anantharaman ◽

V.K. Jayaraman

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Mhc Class I ◽

Random Forests ◽

Peptide Binding ◽

Class I ◽

Support Vector ◽

Binding Prediction ◽

Vector Machines ◽

Peptide Binding Prediction

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A Novel Hybrid Feature Selection Model for Classification of Neuromuscular Dystrophies Using Bhattacharyya Coefficient, Genetic Algorithm and Radial Basis Function Based Support Vector Machine

Interdisciplinary Sciences Computational Life Sciences ◽

10.1007/s12539-016-0183-6 ◽

2016 ◽

Vol 10 (2) ◽

pp. 244-250

Author(s):

Divya Anand ◽

Babita Pandey ◽

Devendra K. Pandey

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Radial Basis Function ◽

Basis Function ◽

Selection Model ◽

Support Vector ◽

Bhattacharyya Coefficient ◽

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A Genetic algorithm based feature selection technique for classification of multiple-subject fMRI data

2015 IEEE International Advance Computing Conference (IACC) ◽

10.1109/iadcc.2015.7154844 ◽

2015 ◽

Author(s):

Accamma I.V. ◽

Suma H.N. ◽

Dakshayini M.

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Fmri Data ◽

Feature Selection Technique ◽

Selection Technique

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A genetic algorithm based wrapper feature selection method for classification of hyperspectral images using support vector machine

10.1117/12.813256 ◽

2008 ◽

Author(s):

Li Zhuo ◽

Jing Zheng ◽

Xia Li ◽

Fang Wang ◽

Bin Ai ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Hyperspectral Images ◽

Support Vector ◽

Wrapper Feature Selection

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A Genetic Algorithm Based Feature Selection for Classification of Brain MRI Scan Images Using Random Forest Classifier

International Journal of Advanced Engineering Research and Science ◽

10.22161/ijaers.4.5.21 ◽

2017 ◽

Vol 4 (5) ◽

pp. 131-136 ◽

Author(s):

Dr. S. Mary Joans ◽

J. Sandhiya

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

Random Forest ◽

Brain Mri ◽

Random Forest Classifier ◽

Mri Scan ◽

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Multi-temporal SAR image classification of coastal plain wetlands using a new feature selection method and random forests

Remote Sensing Letters ◽

10.1080/2150704x.2018.1528397 ◽

2018 ◽

Vol 10 (3) ◽

pp. 312-321 ◽

Author(s):

Meimei Zhang ◽

Fang Chen ◽

Bangsen Tian ◽

Dong Liang

Keyword(s):

Feature Selection ◽

Random Forests ◽

Coastal Plain ◽

Feature Selection Method ◽

Selection Method ◽

Sar Image ◽

Multi Temporal ◽

Coastal Plain Wetlands ◽

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Classification of Methicillin-Resistant and Methicillin-Susceptible Staphylococcus Aureus Using an Improved Genetic Algorithm for Feature Selection Based on Mass Spectra

Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology - ICBBT '17 ◽

10.1145/3093293.3093299 ◽

2017 ◽

Author(s):

J. Bai ◽

Z. C. Fan ◽

L. P. Zhang ◽

X. Y. Xu ◽

Z. L. Zhang

Keyword(s):

Genetic Algorithm ◽

Staphylococcus Aureus ◽

Feature Selection ◽

Mass Spectra ◽

Improved Genetic Algorithm ◽

Methicillin Resistant

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