Ensemble Selection for SuperParent-One-Dependence Estimators

AI 2005: Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11589990_13 ◽

2005 ◽

pp. 102-112 ◽

Cited By ~ 22

Author(s):

Ying Yang ◽

Kevin Korb ◽

Kai Ming Ting ◽

Geoffrey I. Webb

Keyword(s):

Ensemble Selection ◽

Selection For

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Bagging Ensemble Selection for Regression

Lecture Notes in Computer Science - AI 2012: Advances in Artificial Intelligence ◽

10.1007/978-3-642-35101-3_59 ◽

2012 ◽

pp. 695-706 ◽

Cited By ~ 7

Author(s):

Quan Sun ◽

Bernhard Pfahringer

Keyword(s):

Ensemble Selection ◽

Selection For ◽

Bagging Ensemble

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Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification

Machine Learning and Knowledge Discovery in Databases - Communications in Computer and Information Science ◽

10.1007/978-3-030-43887-6_30 ◽

2020 ◽

pp. 367-379

Author(s):

Paweł Zyblewski ◽

Robert Sabourin ◽

Michał Woźniak

Keyword(s):

Data Stream ◽

Imbalanced Data ◽

Data Preprocessing ◽

Stream Classification ◽

Data Stream Classification ◽

Ensemble Selection ◽

Selection For ◽

Dynamic Ensemble Selection

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Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access

10.1007/978-3-030-87897-9_20 ◽

2021 ◽

pp. 217-226

Author(s):

Paweł Zyblewski ◽

Michał Woźniak

Keyword(s):

Data Stream ◽

Imbalanced Data ◽

Stream Classification ◽

Data Stream Classification ◽

Ensemble Selection ◽

Selection For ◽

Dynamic Ensemble Selection

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Prototype selection for dynamic classifier and ensemble selection

Neural Computing and Applications ◽

10.1007/s00521-016-2458-6 ◽

2016 ◽

Vol 29 (2) ◽

pp. 447-457 ◽

Cited By ~ 11

Author(s):

Rafael M. O. Cruz ◽

Robert Sabourin ◽

George D. C. Cavalcanti

Keyword(s):

Prototype Selection ◽

Ensemble Selection ◽

Selection For

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Heterogeneous ensemble selection for evolving data streams

Pattern Recognition ◽

10.1016/j.patcog.2020.107743 ◽

2020 ◽

pp. 107743

Author(s):

Anh Vu Luong ◽

Tien Thanh Nguyen ◽

Alan Wee-Chung Liew ◽

Shilin Wang

Keyword(s):

Data Streams ◽

Ensemble Selection ◽

Selection For ◽

Evolving Data ◽

Heterogeneous Ensemble

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Dynamic Ensemble Selection for Off-Line Signature Verification

Multiple Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21557-5_18 ◽

2011 ◽

pp. 157-166 ◽

Cited By ~ 3

Author(s):

Luana Batista ◽

Eric Granger ◽

Robert Sabourin

Keyword(s):

Signature Verification ◽

Ensemble Selection ◽

Selection For ◽

Dynamic Ensemble Selection

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Clustering ensemble selection for categorical data based on internal validity indices

Pattern Recognition ◽

10.1016/j.patcog.2017.04.019 ◽

2017 ◽

Vol 69 ◽

pp. 150-168 ◽

Cited By ~ 29

Author(s):

Xingwang Zhao ◽

Jiye Liang ◽

Chuangyin Dang

Keyword(s):

Categorical Data ◽

Internal Validity ◽

Clustering Ensemble ◽

Ensemble Selection ◽

Validity Indices ◽

Selection For

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Dynamic ensemble selection for quantification tasks

Information Fusion ◽

10.1016/j.inffus.2018.01.001 ◽

2019 ◽

Vol 45 ◽

pp. 1-15 ◽

Cited By ~ 12

Author(s):

Pablo Pérez-Gállego ◽

Alberto Castaño ◽

José Ramón Quevedo ◽

Juan José del Coz

Keyword(s):

Ensemble Selection ◽

Selection For ◽

Dynamic Ensemble Selection

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Ensemble Selection for Community Detection in Complex Networks

Social Computing and Social Media - Lecture Notes in Computer Science ◽

10.1007/978-3-319-20367-6_15 ◽

2015 ◽

pp. 138-147 ◽

Cited By ~ 3

Author(s):

Rushed Kanawati

Keyword(s):

Complex Networks ◽

Community Detection ◽

Ensemble Selection ◽

Selection For

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Learning in dynamic environments with Ensemble Selection for autonomous outdoor robot navigation

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.2008.4651215 ◽

2008 ◽

Cited By ~ 5

Author(s):

M.J. Procopio ◽

J. Mulligan ◽

G. Grudic

Keyword(s):

Robot Navigation ◽

Dynamic Environments ◽

Ensemble Selection ◽

Selection For

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