QP Representable Mahalanobis Ellipsoidal Learning Machine for Imbalanced Data Classification

2012 Fifth International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2012.77 ◽

2012 ◽

Author(s):

Zhenxia Xue ◽

Juan Luo ◽

Wanli Liu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Learning Machine

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A Survey on Solution of Imbalanced Data Classification Problem Using SMOTE and Extreme Learning Machine

Communication and Intelligent Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-981-16-1089-9_4 ◽

2021 ◽

pp. 31-44

Author(s):

Ankur Goyal ◽

Likhita Rathore ◽

Sandeep Kumar

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Classification Problem ◽

Imbalanced Data Classification ◽

Learning Machine

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Ensemble weighted extreme learning machine for imbalanced data classification based on differential evolution

Neural Computing and Applications ◽

10.1007/s00521-016-2342-4 ◽

2016 ◽

Vol 28 (S1) ◽

pp. 259-267 ◽

Author(s):

Yong Zhang ◽

Bo Liu ◽

Jing Cai ◽

Suhua Zhang

Keyword(s):

Differential Evolution ◽

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Weighted Extreme Learning Machine ◽

Imbalanced Data Classification ◽

Learning Machine

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An improved weighted extreme learning machine for imbalanced data classification

Memetic Computing ◽

10.1007/s12293-017-0236-3 ◽

2017 ◽

Vol 11 (1) ◽

pp. 27-34 ◽

Author(s):

Chengbo Lu ◽

Haifeng Ke ◽

Gaoyan Zhang ◽

Ying Mei ◽

Huihui Xu

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Weighted Extreme Learning Machine ◽

Imbalanced Data Classification ◽

Learning Machine

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Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder

2018 International Conference on Machine Learning and Cybernetics (ICMLC) ◽

10.1109/icmlc.2018.8526934 ◽

2018 ◽

Author(s):

Chu Shen ◽

Su-Fang Zhang ◽

Jun-Hai Zhai ◽

Ding-Sheng Luo ◽

Jun-Fen Chen

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Learning Machine

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An Improved Extreme Learning Machine for Imbalanced Data Classification

IEEE Access ◽

10.1109/access.2022.3142724 ◽

2022 ◽

pp. 1-1

Author(s):

Xiaopeng Zhang ◽

Liangxi Qin

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Learning Machine

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An Imbalanced Data Classification Method Based on Multi-Kernel Extreme Learning Machine Fusion

2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI) ◽

10.1109/iicspi51290.2020.9332366 ◽

2020 ◽

Author(s):

Ruifeng Li ◽

Yanli Sun ◽

Hongchun Wang

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Classification Method ◽

Imbalanced Data Classification ◽

Kernel Extreme Learning Machine ◽

Learning Machine

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Composite reduced-kernel weighted extreme learning machine for imbalanced data classification

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/569/5/052108 ◽

2019 ◽

Vol 569 ◽

pp. 052108

Author(s):

Dafei Wang ◽

Wujie Xie ◽

Wenhan Dong

Keyword(s):

Extreme Learning Machine ◽

Imbalanced Data ◽

Data Classification ◽

Weighted Extreme Learning Machine ◽

Imbalanced Data Classification ◽

Learning Machine

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A novel imbalanced data classification approach for suicidal ideation detection on social media

Computing ◽

10.1007/s00607-021-00984-0 ◽

2021 ◽

Author(s):

Mohamed Ali Ben Hassine ◽

Safa Abdellatif ◽

Sadok Ben Yahia

Keyword(s):

Social Media ◽

Suicidal Ideation ◽

Imbalanced Data ◽

Data Classification ◽

Classification Approach ◽

Imbalanced Data Classification

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Radial-Based Undersampling for imbalanced data classification

Pattern Recognition ◽

10.1016/j.patcog.2020.107262 ◽

2020 ◽

Vol 102 ◽

pp. 107262 ◽

Author(s):

Michał Koziarski

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification

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Research of Medical High-Dimensional Imbalanced Data Classification Ensemble Feature Selection Algorithm with Random Forest

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) ◽

10.1109/icsgea.2017.158 ◽

2017 ◽

Author(s):

Min Zhu ◽

Bo Su ◽

Gangmin Ning

Keyword(s):

Feature Selection ◽

Random Forest ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Data Classification

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