Quasi-Linear SVM with Local Offsets for High-dimensional Imbalanced Data Classification

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) ◽

10.23919/sice48898.2020.9240376 ◽

2020 ◽

Author(s):

Li Yanze ◽

Harutoshi OGAI

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

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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A new segmented oversampling method for imbalanced data classification using quasi-linear SVM

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.22480 ◽

2017 ◽

Vol 12 (6) ◽

pp. 891-898 ◽

Author(s):

Bo Zhou ◽

Weite Li ◽

Jinglu Hu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

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Quasi-linear SVM classifier with segmented local offsets for imbalanced data classification

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.22808 ◽

2018 ◽

Vol 14 (2) ◽

pp. 289-296 ◽

Author(s):

Peifeng Liang ◽

Feng Zheng ◽

Weite Li ◽

Jinglu Hu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Svm Classifier ◽

Imbalanced Data Classification ◽

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Evolutionary feature subsets selection based on interaction information for high dimensional imbalanced data classification

Applied Soft Computing ◽

10.1016/j.asoc.2019.105581 ◽

2019 ◽

Vol 82 ◽

pp. 105581 ◽

Author(s):

Elahe Sadat Hosseini ◽

Mohammad Hossein Moattar

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Interaction Information ◽

Imbalanced Data Classification

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HUSBoost: A Hubness-Aware Boosting for High-Dimensional Imbalanced Data Classification

2019 International Conference on Machine Learning and Data Engineering (iCMLDE) ◽

10.1109/icmlde49015.2019.00018 ◽

2019 ◽

Author(s):

Qin Wu ◽

Yaping Lin ◽

Tuanfei Zhu ◽

Jianhao Wei

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Imbalanced Data Classification

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Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3106306 ◽

2021 ◽

pp. 1-14

Author(s):

Yuhong Xu ◽

Zhiwen Yu ◽

C. L. Philip Chen ◽

Zhulin Liu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Ensemble Method ◽

High Dimensional ◽

Subspace Optimization ◽

Imbalanced Data Classification

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A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification

The 2013 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2013.6707035 ◽

2013 ◽

Author(s):

Bo Zhou ◽

Cheng Yang ◽

Haixiang Guo ◽

Jinglu Hu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

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HIBoost: A hubness-aware ensemble learning algorithm for high-dimensional imbalanced data classification

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-190821 ◽

2020 ◽

Vol 39 (1) ◽

pp. 133-144

Author(s):

Qin Wu ◽

Yaping Lin ◽

Tuanfei Zhu ◽

Yue Zhang

Keyword(s):

Ensemble Learning ◽

Learning Algorithm ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Imbalanced Data Classification ◽

Ensemble Learning Algorithm

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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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