A comparison for handling imbalanced datasets

2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) ◽

10.1109/icaicta.2014.7005957 ◽

2014 ◽

Author(s):

Arif Syaripudin ◽

Masayu Leylia Khodra

Keyword(s):

Imbalanced Datasets

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Faculty Opinions recommendation of The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725375858.793530299 ◽

2017 ◽

Author(s):

Michael Barnes ◽

David Watson

Keyword(s):

Imbalanced Datasets ◽

Binary Classifiers

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Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2016.7737859 ◽

2016 ◽

Author(s):

Edward Hinojosa Cardenas ◽

Heloisa A. Camargo ◽

Yvan J. Tupac

Keyword(s):

Evolutionary Algorithm ◽

Classification Systems ◽

Fuzzy Classification ◽

Imbalanced Datasets ◽

Multiobjective Evolutionary Algorithm

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Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets

IEEE Access ◽

10.1109/access.2021.3051969 ◽

2021 ◽

Vol 9 ◽

pp. 13717-13726

Author(s):

Chih-Fong Tsai ◽

Wei-Chao Lin

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Ensemble Learning ◽

Imbalanced Datasets ◽

Learning Techniques

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A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets

IEEE Access ◽

10.1109/access.2021.3108450 ◽

2021 ◽

Vol 9 ◽

pp. 123358-123374

Author(s):

Saptarshi Bej ◽

Kristian Schulz ◽

Prashant Srivastava ◽

Markus Wolfien ◽

Olaf Wolkenhauer

Keyword(s):

Imbalanced Datasets

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Learning fuzzy classification rules from imbalanced datasets using multi-objective evolutionary algorithm

2015 Latin America Congress on Computational Intelligence (LA-CCI) ◽

10.1109/la-cci.2015.7435959 ◽

2015 ◽

Author(s):

C. Edward Hinojosa ◽

Heloisa A. Camargo ◽

V. Yvan J. Tupac

Keyword(s):

Evolutionary Algorithm ◽

Fuzzy Classification ◽

Classification Rules ◽

Imbalanced Datasets ◽

Multi Objective

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Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets

Neural Computing and Applications ◽

10.1007/s00521-014-1780-0 ◽

2014 ◽

Vol 26 (5) ◽

pp. 1041-1054 ◽

Author(s):

William A. Young ◽

Scott L. Nykl ◽

Gary R. Weckman ◽

David M. Chelberg

Keyword(s):

Voronoi Diagrams ◽

Imbalanced Datasets

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A Novel Classifier-Independent Feature Selection Algorithm for Imbalanced Datasets

2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing ◽

10.1109/snpd.2009.47 ◽

2009 ◽

Author(s):

Quanyin Zhu ◽

Suqun Cao

Keyword(s):

Feature Selection ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Datasets

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A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets

Knowledge-Based Systems ◽

10.1016/j.knosys.2014.09.002 ◽

2015 ◽

Vol 73 ◽

pp. 1-17 ◽

Author(s):

Saleh Alshomrani ◽

Abdullah Bawakid ◽

Seong-O Shim ◽

Alberto Fernández ◽

Francisco Herrera

Keyword(s):

Fuzzy Systems ◽

Feature Weighting ◽

Imbalanced Datasets ◽

Evolutionary Fuzzy Systems

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Imbalanced Datasets Classification by Fuzzy Rule Extraction and Genetic Algorithms

Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06) ◽

10.1109/icdmw.2006.95 ◽

2006 ◽

Author(s):

Vicenc Soler ◽

Jesus Cerquides ◽

Josep Sabria ◽

Jordi Roig ◽

Marta Prim

Keyword(s):

Genetic Algorithms ◽

Rule Extraction ◽

Imbalanced Datasets

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Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets

10.1109/ijcnn52387.2021.9534072 ◽

2021 ◽

Author(s):

Saptarshi Bej ◽

Prashant Srivastava ◽

Markus Wolfien ◽

Olaf Wolkenhauer

Keyword(s):

Imbalanced Datasets

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