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Citation(s) in
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4
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For:
Khorshidi HA
, Aickelin U.
Constructing classifiers for imbalanced data using diversity optimisation.
Inf Sci (N Y)
2021. [DOI:
10.1016/j.ins.2021.02.069
]
[
Citation(s) in
RCA
: 5
]
[
Impact Index Per Article: 1.7
]
[
Reference Citation Analysis
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[Indexed: 12/20/2022]
Number
Cited by Other Article(s)
1
An Efficiency Curve for Evaluating Imbalanced Classifiers Considering Intrinsic Data Characteristics: Experimental Analysis.
Inf Sci (N Y)
2022. [DOI:
10.1016/j.ins.2022.06.045
]
[
Citation(s) in
RCA
: 1
]
[
Impact Index Per Article: 0.5
]
[
Reference Citation Analysis
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[Indexed: 01/20/2023]
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2
A graph neural network-based node classification model on class-imbalanced graph data.
Knowl Based Syst
2022. [DOI:
10.1016/j.knosys.2022.108538
]
[
Citation(s) in
RCA
: 3
]
[
Impact Index Per Article: 1.5
]
[
Reference Citation Analysis
]
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[Indexed: 01/29/2023]
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3
Ni J
, Huang Z, Hu Y, Lin C. A two-stage embedding model for recommendation with multimodal auxiliary information.
Inf Sci (N Y)
2022. [DOI:
10.1016/j.ins.2021.09.006
]
[
Citation(s) in
RCA
: 7
]
[
Impact Index Per Article: 3.5
]
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[Indexed: 11/05/2022]
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4
Xiao J
, Wang Y, Chen J, Xie L, Huang J. Impact of resampling methods and classification models on the imbalanced credit scoring problems.
Inf Sci (N Y)
2021. [DOI:
10.1016/j.ins.2021.05.029
]
[
Citation(s) in
RCA
: 10
]
[
Impact Index Per Article: 3.3
]
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[Indexed: 12/17/2022]
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