GMO-AC: Gaussian-Based Minority Oversampling With Adaptive Outlier Filtering and Class Overlap Weighting by Seung Jee Yang, Kyungjoon Cha

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Neuro-evolutionary models for imbalanced classification problems by Israa Al-Badarneh, Maria Habib, Ibrahim Aljarah, Hossam Faris

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A Partition-Based Hybrid Algorithm for Effective Imbalanced Classification by Kittipong Theephoowiang, Anantaporn Hanskunatai

Subjects: “…imbalanced classification…”
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Multimodal Framework for Long-Tailed Recognition by Jian Chen, Jianyin Zhao, Jiaojiao Gu, Yufeng Qin, Hong Ji

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A Heat Decay Model-Based Hybrid Sampling Algorithm for Imbalanced Overlapping Datasets by Liangliang Tao, Lilin Zhang

Subjects: “…Imbalanced classification…”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

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Prediction of copper contamination in soil across EU using spectroscopy and machine learning: Handling class imbalance problem by Chongchong Qi, Nana Zhou, Tao Hu, Mengting Wu, Qiusong Chen, Han Wang, Kejing Zhang, Zhang Lin

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Predicting classification errors using NLP-based machine learning algorithms and expert opinions by Peiheng Gao, Chen Yang, Ning Sun, Ričardas Zitikis

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Optimizing Sensitivity in Machine Learning Models for Pediatric Post-operative Kyphosis Prediction by Raja Ayu Mahessya, Dian Eka Putra, Rostam Ahmad Efendi, Rayendra, Rozi Meri, Riyan Ikhbal Salam, Dedi Mardianto, Ikhsan, Ismael, Arif Rizki Marsa

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Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

Subjects: “…Imbalanced classification…”
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A Process Monitoring Framework for Imbalanced Big Data: A Wastewater Treatment Plant Case Study by Morteza Zadkarami, Ali Akbar Safavi, Krist V. Gernaey, Pedram Ramin

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Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

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