A new genetic feature selection with neural network ensemble

Heesung Lee; Sungjun Hong; Euntai Kim

doi:10.1080/00207160701724760

A new genetic feature selection with neural network ensemble

International Journal of Computer Mathematics ◽

10.1080/00207160701724760 ◽

2009 ◽

Vol 86 (7) ◽

pp. 1105-1117 ◽

Cited By ~ 9

Author(s):

Heesung Lee ◽

Sungjun Hong ◽

Euntai Kim

Keyword(s):

Neural Network ◽

Feature Selection ◽

Neural Network Ensemble ◽

Genetic Feature ◽

Genetic Feature Selection

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Attack Detection in Cloud Infrastructures Using Artificial Neural Network with Genetic Feature Selection

2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech) ◽

10.1109/dasc-picom-datacom-cyberscitec.2016.32 ◽

2016 ◽

Cited By ~ 8

Author(s):

Sayantan Guha ◽

Stephen S. Yau ◽

Arun Balaji Buduru

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Attack Detection ◽

Genetic Feature ◽

Artificial Neural ◽

Cloud Infrastructures ◽

Genetic Feature Selection

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A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-63830-6_1 ◽

2020 ◽

pp. 3-11

Author(s):

Chaoxing Huang ◽

Xuanying Zhu ◽

Tom Gedeon

Keyword(s):

Neural Network ◽

Feature Selection ◽

Genetic Feature ◽

Genetic Feature Selection

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Performance Improvement by Genetic Feature Selection and Adjusting Ratings' Mid-point Value in the Neural Network-Based Recommendation Models

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol4.issue11.5 ◽

2012 ◽

Vol 4 (11) ◽

pp. 37-43 ◽

Cited By ~ 2

Author(s):

GyungMok Yoon ◽

Jin Kim ◽

YongHyuk Kim ◽

ByungRo Moon

Keyword(s):

Neural Network ◽

Feature Selection ◽

Performance Improvement ◽

Genetic Feature ◽

The Neural Network ◽

Genetic Feature Selection

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Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification

Lecture Notes in Computer Science - Intelligent Data Engineering and Automated Learning – IDEAL 2008 ◽

10.1007/978-3-540-88906-9_20 ◽

2008 ◽

pp. 156-163 ◽

Cited By ~ 17

Author(s):

Satchidananda Dehuri ◽

Bijan Bihari Mishra ◽

Sung-Bae Cho

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Feature Selection ◽

Functional Link ◽

Genetic Feature ◽

Selection For ◽

Artificial Neural ◽

Genetic Feature Selection

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Ranking evaluation functions to improve genetic feature selection in content-based image retrieval of mammograms

2009 22nd IEEE International Symposium on Computer-Based Medical Systems ◽

10.1109/cbms.2009.5255397 ◽

2009 ◽

Cited By ~ 1

Author(s):

Sergio Francisco da Silva ◽

Agma J. M. Traina ◽

Marcela Xavier Ribeiro ◽

Joao do E. S. Batista Neto ◽

Caetano Traina

Keyword(s):

Feature Selection ◽

Image Retrieval ◽

Content Based Image Retrieval ◽

Evaluation Functions ◽

Genetic Feature ◽

Genetic Feature Selection

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Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems

Information Sciences ◽

10.1016/s0020-0255(01)00147-5 ◽

2001 ◽

Vol 136 (1-4) ◽

pp. 135-157 ◽

Cited By ~ 101

Author(s):

J Casillas ◽

O Cordón ◽

M.J Del Jesus ◽

F Herrera

Keyword(s):

Feature Selection ◽

Learning Process ◽

Classification System ◽

Fuzzy Rule ◽

High Dimensional ◽

Rule Based ◽

Genetic Feature ◽

Genetic Feature Selection

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Neural Network Ensemble Based on Feature Selection for Non-Invasive Recognition of Liver Fibrosis Stage

Advances in Intelligent Systems and Computing - Soft Computing in Industrial Applications ◽

10.1007/978-3-319-00930-8_2 ◽

2013 ◽

pp. 15-24

Author(s):

Bartosz Krawczyk ◽

Michał Woźniak ◽

Tomasz Orczyk ◽

Piotr Porwik ◽

Joanna Musialik ◽

...

Keyword(s):

Neural Network ◽

Feature Selection ◽

Liver Fibrosis ◽

Fibrosis Stage ◽

Neural Network Ensemble ◽

Non Invasive ◽

Selection For

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Improving Classification Accuracy of Motor Imagery EEG Using Genetic Feature Selection

Clinical EEG and Neuroscience ◽

10.1177/1550059413491559 ◽

2013 ◽

Vol 45 (3) ◽

pp. 163-168 ◽

Cited By ~ 12

Author(s):

Wei-Yen Hsu

Keyword(s):

Feature Selection ◽

Motor Imagery ◽

Classification Accuracy ◽

Genetic Feature ◽

Genetic Feature Selection

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Improving the ranking quality of medical image retrieval using a genetic feature selection method

Decision Support Systems ◽

10.1016/j.dss.2011.01.015 ◽

2011 ◽

Vol 51 (4) ◽

pp. 810-820 ◽

Cited By ~ 49

Author(s):

Sérgio Francisco da Silva ◽

Marcela Xavier Ribeiro ◽

João do E.S. Batista Neto ◽

Caetano Traina-Jr. ◽

Agma J.M. Traina

Keyword(s):

Feature Selection ◽

Image Retrieval ◽

Medical Image ◽

Feature Selection Method ◽

Selection Method ◽

Medical Image Retrieval ◽

Genetic Feature ◽

Genetic Feature Selection

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GENETIC FEATURE SELECTION AND STATISTICAL CLASSIFICATION OF VOIDS IN CONCRETE STRUCTURE

Proceedings of the Tenth International Conference on Enterprise Information Systems ◽

10.5220/0001692802310234 ◽

2008 ◽

Keyword(s):

Feature Selection ◽

Concrete Structure ◽

Statistical Classification ◽

Genetic Feature ◽

Genetic Feature Selection

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