Comparison of Support Vector Machine (SVM) and Random Forest (RF) Algorithm Performance with Random Undersampling Technique to Predict Gestational Diabetes Mellitus Risk by Annisa Damayanti, Anna Baita

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

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

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Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution by Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

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Hybrid transformer-CNN network-driven optical-scanning undersampling for photoacoustic remote sensing microscopy by Yihan Pi, Jijing Chen, Kaixuan Ding, Tongyan Zhang, Hao Zhang, Bingxue Zhang, Junhao Guo, Zhen Tian, Jiao Li

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APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI by Hikmah Hikmah, Nur Hilal A Syahrir, Putri Indi Rahayu

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Optimizing Imbalanced Data Classification: Under Sampling Algorithm Strategy with Classification Combination by Nauval Dwi Primadya, Adhitya Nugraha, Sahrul Yudha Fahrezi, Ardytha Luthfiarta

Subjects: “…Random Undersampling…”
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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

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Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset by Sahrul Fahrezi Fahrezi, Adhitya Nugraha, Ardytha Luthfiarta, Nauval Dwi Primadya

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Enhanced Diagnosis of Thyroid Diseases Through Advanced Machine Learning Methodologies by Osasere Oture, Muhammad Zahid Iqbal, Xining (Ning) Wang

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‌Rockburst intensity grading prediction based on the LOF-ENN-KNN model‌ by Haoran Ge, Jiyong Zhang, Congbo Ma, Kai Hui, Yicong Li, Ziniu Wu

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Neural Network-Assisted DPD of Wideband PA Nonlinearity for Sub-Nyquist Sampling Systems by Mengqiu Liu, Xining Yang, Jian Gao, Sen Cao, Guisheng Liao, Gaopan Hou, Dawei Gao

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An Empirical Analysis of Crash Injury Severity Among Young Drivers in England: Accounting for Data Imbalance by Amirhossein Taheri, Kevin Switala, Grigorios Fountas, Abbas Sheykhfard, Nima Dadashzadeh, Steffen Müller

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An oversampling-undersampling strategy for large-scale data linkage by Hossein Hassani, Mohammad Reza Entezarian, Sara Zaeimzadeh, Leila Marvian, Nadejda Komendantova

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Fast MRI Techniques of the Liver and Pancreaticobiliary Tract: Overview and Application by Bohyun Kim, So Hyun Park, Moon Hyung Choi

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Low-Complexity Receiver Using Undersampling for Guard-Band SSB-DDO-OFDM by Ming Chen, Qinghui Chen, Hui Zhou, Zhiwei Zheng, Jing He, Lin Chen

Subjects: “…Undersampling…”
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CLASS IMBALANCE PROBLEM IN ANTI-FRAUD PROBLEM: METRICS, SAMPLING AND CONVOLUTIONAL NEURAL NETWORKS by Ruslan Ch. Bobonazarov

Subjects: “…fraud prevention, antifraud, machine learning, class imbalance, pr auc, oversampling, undersampling, convolutional neural networks.…”
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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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RUE: A robust personalized cost assignment strategy for class imbalance cost-sensitive learning by Shanlin Zhou, Yan Gu, Hualong Yu, Xibei Yang, Shang Gao

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Experimental Demonstration of RGB LED-Based Optical Camera Communications by Pengfei Luo, Min Zhang, Zabih Ghassemlooy, Hoa Le Minh, Hsin-Mu Tsai, Xuan Tang, Lih Chieh Png, Dahai Han

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