Anchor Dragging Risk Estimation Strategy from Supervised Cost-Sensitive Learning by Sang-Lok Yoo, Shem Otoi Onyango, Joo-Sung Kim, Kwang-Il Kim

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Optimized customer churn prediction using tabular generative adversarial network (GAN)-based hybrid sampling method and cost-sensitive learning by I Nyoman Mahayasa Adiputra, Paweena Wanchai, Pei-Chun Lin

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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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PM2.5 prediction using population-based centrality weight by Hee Joon Choi, Won Kyung Lee, So Young Sohn

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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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TS-WRSVM: twin structural weighted relaxed support vector machine by Fatemeh Sheykh Mohammadi, Ali Amiri

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Analyzing and Mitigating Bias for Vulnerable Road Users by Addressing Class Imbalance in Datasets by Dewant Katare, David Solans Noguero, Souneil Park, Nicolas Kourtellis, Marijn Janssen, Aaron Yi Ding

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Bringing Machine Learning Classifiers Into Critical Cyber-Physical Systems: A Matter of Design by Burcu Sayin, Tommaso Zoppi, Nicolo Marchini, Fahad Ahmed Khokhar, Andrea Passerini

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Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels by Rashmi N. Muralinath, Vishwambhar Pathak, Prabhat K. Mahanti

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RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning by Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao

Subjects: “…Cost-sensitive learning…”
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A recent survey on instance-dependent positive and unlabeled learning by Chen Gong, Muhammad Imran Zulfiqar, Chuang Zhang, Shahid Mahmood, Jian Yang

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Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets by Alysha van Duynhoven, Suzana Dragićević

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