EEG feature selection for ADHD detection in children

16th International Symposium on Medical Information Processing and Analysis ◽

10.1117/12.2579625 ◽

2020 ◽

Author(s):

Isabela M. Mercado-Aguirre ◽

Karol P. Gutierrez-Ruiz ◽

Sonia H. Contreras-Ortiz

Keyword(s):

Feature Selection ◽

Selection For

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FEATURE SELECTION FOR THE DETECTION OF EPILEPSY BY USING EEG PHYSIOLOGICAL SIGNAL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.2.13727 ◽

2017 ◽

Vol 4 (2) ◽

pp. 17

Author(s):

CHANDANI MANISHA ◽

KUMAR ARUN ◽

◽

Keyword(s):

Feature Selection ◽

Physiological Signal ◽

Selection For

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Chicken Algorithm Based Feature Selection For Arabic Information Searching System

10.36458/1253-000-033-015 ◽

2019 ◽

pp. 389

Author(s):

زينب عبدالأمير ◽

علياء كريم عبدالحسن

Keyword(s):

Feature Selection ◽

Information Searching ◽

Selection For

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Feature Selection for Gene Expression Data Analysis – A Review

International Journal of Psychosocial Rehabilitation ◽

10.37200/ijpr/v24i5/pr2020695 ◽

2020 ◽

Vol 24 (5) ◽

pp. 6955-6964

Author(s):

Dr. Prema R

Keyword(s):

Gene Expression ◽

Feature Selection ◽

Data Analysis ◽

Gene Expression Data ◽

Expression Data ◽

Gene Expression Data Analysis ◽

Selection For

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An MRMR with mean score feature selection for ovarian cancer classification using joint analysis

International Journal of Pharma and Bio Sciences ◽

10.22376/ijpbs.2017.8.2.b495-504 ◽

2017 ◽

Vol 8 (2) ◽

Author(s):

M.ANI DHA ◽

DR.K.PREMA LATHA

Keyword(s):

Ovarian Cancer ◽

Feature Selection ◽

Cancer Classification ◽

Joint Analysis ◽

Selection For

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Clustering Enabled Classification using Ensemble Feature Selection for Intrusion Detection

2019 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2019.8685636 ◽

2019 ◽

Cited By ~ 3

Author(s):

Fadi Salo ◽

MohammadNoor Injadat ◽

Abdallah Moubayed ◽

Ali Bou Nassif ◽

Aleksander Essex

Keyword(s):

Feature Selection ◽

Intrusion Detection ◽

Selection For

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Feature selection for off-line recognition of different size signatures

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.2002.1030047 ◽

2003 ◽

Author(s):

G.D.D.C. Cavalcanti ◽

R.C. Doria ◽

E.Cde.B.C. Filho

Keyword(s):

Feature Selection ◽

Selection For

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Fault Feature Selection for Distribution Network

Journal of Physics Conference Series ◽

10.1088/1742-6596/1881/2/022080 ◽

2021 ◽

Vol 1881 (2) ◽

pp. 022080

Author(s):

Zhiqiang Wu ◽

Lizong Zhang ◽

Gang Yu ◽

Ying Wang ◽

Tao Huang ◽

...

Keyword(s):

Feature Selection ◽

Distribution Network ◽

Selection For

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Feature Selection for Classification using Principal Component Analysis and Information Gain

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114765 ◽

2021 ◽

Vol 174 ◽

pp. 114765 ◽

Cited By ~ 1

Author(s):

Erick Odhiambo Omuya ◽

George Onyango Okeyo ◽

Michael Waema Kimwele

Keyword(s):

Principal Component Analysis ◽

Feature Selection ◽

Information Gain ◽

Principal Component ◽

Component Analysis ◽

Selection For

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Application of Fuzzy Entropy to Improve Feature Selection for Defect Recognition Using Support Vector Machine in High Voltage Cable Joints

IEEE Transactions on Dielectrics and Electrical Insulation ◽

10.1109/tdei.2020.009055 ◽

2020 ◽

Vol 27 (6) ◽

pp. 2147-2155

Author(s):

Chien-Kuo Chang ◽

Bharath Kumar Boyanapalli ◽

Ruay-Nan Wu

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

High Voltage ◽

Fuzzy Entropy ◽

Support Vector ◽

Selection For ◽

Defect Recognition

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Optimal feature selection for machine learning based intrusion detection system by exploiting attribute dependence

Materials Today Proceedings ◽

10.1016/j.matpr.2021.04.643 ◽

2021 ◽

Author(s):

Ghanshyam Prasad Dubey ◽

Dr. Rakesh Kumar Bhujade

Keyword(s):

Machine Learning ◽

Feature Selection ◽

Intrusion Detection ◽

Intrusion Detection System ◽

Detection System ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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