SOM-US: A Novel Under-Sampling Technique for Handling Class Imbalance Problem by Ajay Kumar

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Imbalanced data ensemble classification based on cluster-based under-sampling algorithm by WU Sen, LIU Lu, LU Dan

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A Novel Clustering-Based Three Level Under-Sampling Algorithm for Class Imbalance Problem by Vibha Pratap, Amit Prakash Singh

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SVM classifier for telecom user arrears based on boundary samples-based under-sampling approaches by Chuangchuang LI, Guangyue LU, Hanglong WANG

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A multi-manifold learning based instance weighting and under-sampling for imbalanced data classification problems by Tayyebe Feizi, Mohammad Hossein Moattar, Hamid Tabatabaee

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Direct Under-Sampling Compressive Sensing Method for Underwater Echo Signals and Physical Implementation by Tongjing Sun, Ji Li, Philippe Blondel

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SVM classifier for telecom user arrears based on boundary samples-based under-sampling approaches by Chuangchuang LI, Guangyue LU, Hanglong WANG

Subjects: “…arrear;unbalance;support vector machine;boundary;under-sampling…”
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An Ensemble Learning Algorithm Based on Density Peaks Clustering and Fitness for Imbalanced Data by Hui Xu, Qicheng Liu

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Uncertainty Based Under-Sampling for Learning Naive Bayes Classifiers Under Imbalanced Data Sets by Christos K. Aridas, Stamatis Karlos, Vasileios G. Kanas, Nikos Fazakis, Sotiris B. Kotsiantis

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CNN-based defect diagnosis method for rotating blades by Jiwang ZHANG, Xueli WANG, Haibo XIE, Keqin DING

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From chaos to randomness via geometric undersampling by Lozi Rene, Taralova Ina

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Improving the Performance of Sentiment Classification on Imbalanced Datasets With Transfer Learning by Z. Xiao, L. Wang, J. Y. Du

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Penanganan Imbalanced Dataset untuk Klasifikasi Komentar Program Kampus Merdeka Pada Aplikasi Twitter by Cindy Magnolia, Ade Nurhopipah, Bagus Adhi Kusuma

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A fault diagnosis method for photovoltaic power plants based on an enhanced BP-Bagging algorithm by QI Weiwen, ZHANG Jun, WU Yang, FAN Qiang, ZHAO Feng, CHEN Jianguo, WANG Jian

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A Sampling-Based Stack Framework for Imbalanced Learning in Churn Prediction by Soumi De, P. Prabu

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Assessing the impact on quality of prediction and inference from balancing in multilevel logistic regression by Carolina Gonzalez-Canas, Gustavo A. Valencia-Zapata, Ana Maria Estrada Gomez, Zachary Hass

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Estudio de conjuntos de datos desbalanceados usando un modelo asociativo con traslación de ejes by Laura Cleofas Sánchez, Magali Guzmán Escobedo, Rosa María Valdovinos Rosas, Cornelio Yáñez Márquez, Oscar Camacho Nieto

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Mitigating Under-Sampling Artifacts in 3D Photoacoustic Imaging Using Res-UNet Based on Digital Breast Phantom by Haoming Huo, Handi Deng, Jianpan Gao, Hanqing Duan, Cheng Ma

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Mortality Prediction of COVID-19 Patients Using Radiomic and Neural Network Features Extracted from a Wide Chest X-ray Sample Size: A Robust Approach for Different Medical Imbalanc... by Mauro Iori, Carlo Di Castelnuovo, Laura Verzellesi, Greta Meglioli, Davide Giosuè Lippolis, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Valeria Trojani, Marco Bertolini, Andrea Botti, Gastone Castellani, Daniel Remondini, Roberto Sghedoni, Stefania Croci, Carlo Salvarani

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CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction by I Nyoman Mahayasa Adiputra, Paweena Wanchai

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