Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

Subjects: “…Imbalanced Learning…”
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IA-KNNR: A Novel Imbalance-Aware Approach for Handling Multi-Label Class Imbalance Problem by Himanshu Suyal, Shiv Naresh Shivhare, Gulshan Shrivastava, Rohit Singh, Ansh Singhal

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A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems by Achin Jain, Arun Kumar Dubey, Shakir Khan, Arvind Panwar, Mohammad Alkhatib, Abdulaziz M Alshahrani

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Winter wheat mapping using unbalanced multi-source remote sensing data by Haofei Li, Xiaohui He, Mengjia Qiao, Haonan Sun, Jinlan Kong, Xijie Cheng, Panle Li, Jian Zhang, Renyi Liu, Jiandong Shang

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Resampling approaches to handle class imbalance: a review from a data perspective by Miguel Carvalho, Armando J. Pinho, Susana Brás

Subjects: “…Imbalanced learning…”
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Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

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A Systematic Review of Intelligent Systems and Analytic Applications in Credit Card Fraud Detection by Ercan Oztemel, Muhammed Isik

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Hierarchical Deep Learning for Comprehensive Epileptic Seizure Analysis: From Detection to Fine-Grained Classification by Peter Akor, Godwin Enemali, Usman Muhammad, Rajiv Ranjan Singh, Hadi Larijani

Subjects: “…imbalanced learning…”
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