Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

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Power Transformer Health Index Using Cost-Sensitive Learning to Consider the Impact of Misclassification by Junsoo Che, Gihun Park, Jeongsik Oh, Su-Han Pyo, Byeonghyeon An, Taesik Park

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Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

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Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition by Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi

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Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud by Peiwen Gao, Zhihua Li, Dibin Zhou, Liang Zhang

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Optimizing Multilayer Perceptron with Cost-Sensitive Learning for Addressing Class Imbalance in Credit Card Fraud Detection by Wowon Priatna, Hindriyanto Dwi Purnomo, Ade Iriani, Irwan Sembiring, Theophilus Wellem

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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

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