Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.259284 ◽

2006 ◽

Cited By ~ 1

Author(s):

Gert Van Dijck ◽

Marc M. Van Hulle ◽

Jo Van Vaerenbergh

Keyword(s):

Daily Living ◽

Quantitative Assessment ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Activity Of Daily Living ◽

Stroke Patients ◽

Selection For

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Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.4398750 ◽

2006 ◽

Author(s):

Gert Van Dijck ◽

Marc M. Van Hulle ◽

Jo Van Vaerenbergh

Keyword(s):

Daily Living ◽

Quantitative Assessment ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Activity Of Daily Living ◽

Stroke Patients ◽

Selection For

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Feature subset selection for support vector machines by incremental regularized risk minimization

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) ◽

10.1109/ijcnn.2004.1380930 ◽

2005 ◽

Cited By ~ 5

Author(s):

H. Frohlich ◽

A. Zell

Keyword(s):

Support Vector Machines ◽

Subset Selection ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Risk Minimization ◽

Vector Machines ◽

Selection For ◽

Regularized Risk Minimization

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A PSO-Based Feature Subset Selection for Application of Spam /Non-spam Detection

Soft Computing Applications and Intelligent Systems - Communications in Computer and Information Science ◽

10.1007/978-3-642-40567-9_16 ◽

2013 ◽

pp. 183-193 ◽

Cited By ~ 3

Author(s):

Amir Rajabi Behjat ◽

Aida Mustapha ◽

Hossein Nezamabadi-pour ◽

Md. Nasir Sulaiman ◽

Norwati Mustapha

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Spam Detection ◽

Feature Subset ◽

Selection For

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An Optimal Multi-Level Backward Feature Subset Selection for Object Recognition

IETE Journal of Research ◽

10.1080/03772063.2018.1436470 ◽

2018 ◽

Vol 65 (4) ◽

pp. 460-472 ◽

Cited By ~ 1

Author(s):

A. Kalaivani ◽

S. Chitrakala

Keyword(s):

Object Recognition ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Multi Level ◽

Selection For

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Feature subset selection for cancer detection using various rank-based algorithms

International Journal of Medical Engineering and Informatics ◽

10.1504/ijmei.2021.10037435 ◽

2021 ◽

Vol 13 (4) ◽

pp. 346

Author(s):

N. Arulmurugaselvi ◽

M. Praneetha ◽

B. Surendiran ◽

E. Sri Hari Keerthi ◽

D. Swetha ◽

...

Keyword(s):

Cancer Detection ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Selection For

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Feature subset selection for improved native accent identification

Speech Communication ◽

10.1016/j.specom.2009.08.010 ◽

2010 ◽

Vol 52 (2) ◽

pp. 83-98 ◽

Cited By ~ 13

Author(s):

Tingyao Wu ◽

Jacques Duchateau ◽

Jean-Pierre Martens ◽

Dirk Van Compernolle

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Selection For ◽

Accent Identification

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Coalition game theory based feature subset selection for hyperspectral image classification

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6947223 ◽

2014 ◽

Cited By ~ 4

Author(s):

Prudhvi Gurram ◽

Heesung Kwon

Keyword(s):

Game Theory ◽

Image Classification ◽

Hyperspectral Image ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Coalition Game ◽

Hyperspectral Image Classification ◽

Selection For ◽

Coalition Game Theory

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Feature-subset selection for statistical classification problems involving unequal covariance matrices

Communication in Statistics- Theory and Methods ◽

10.1080/03610928608829112 ◽

1986 ◽

Vol 15 (1) ◽

pp. 137-157 ◽

Cited By ~ 3

Author(s):

Dean Young ◽

Patrick Ode

Keyword(s):

Subset Selection ◽

Covariance Matrices ◽

Feature Subset Selection ◽

Feature Subset ◽

Statistical Classification ◽

Classification Problems ◽

Selection For

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Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines

Knowledge and Information Systems ◽

10.1007/s10115-018-1185-y ◽

2018 ◽

Vol 58 (1) ◽

pp. 139-167 ◽

Cited By ~ 17

Author(s):

Syed Muhammad Saqlain ◽

Muhammad Sher ◽

Faiz Ali Shah ◽

Imran Khan ◽

Muhammad Usman Ashraf ◽

...

Keyword(s):

Matthews Correlation Coefficient ◽

Subset Selection ◽

Disease Diagnosis ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Fisher Score ◽

Vector Machines ◽

Selection For ◽

Heart Disease Diagnosis

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Feature subset selection for Arabic document categorization using BPSO-KNN

2011 Third World Congress on Nature and Biologically Inspired Computing ◽

10.1109/nabic.2011.6089647 ◽

2011 ◽

Cited By ~ 12

Author(s):

Hamouda K. Chantar ◽

David W. Corne

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Document Categorization ◽

Selection For

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