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

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SOUL: Scala Oversampling and Undersampling Library for imbalance classification by Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera

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Undersampling Instance Selection for Hybrid and Incomplete Imbalanced Data by Oscar Camacho-Nieto, Cornelio Yáñez-Márquez, Yenny Villuendas-Rey

Subjects: “…undersampling…”
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Identification of Clinically Relevant HIV Vif Protein Motif Mutations through Machine Learning and Undersampling by José Salomón Altamirano-Flores, Luis Ángel Alvarado-Hernández, Juan Carlos Cuevas-Tello, Peter Tino, Sandra E. Guerra-Palomares, Christian A. Garcia-Sepulveda

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Enhancing Phishing Email Detection through Ensemble Learning and Undersampling by Qinglin Qi, Zhan Wang, Yijia Xu, Yong Fang, Changhui Wang

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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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Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining by Evangelos Tsagalidis, Georgios Evangelidis

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A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE by Ahmed Saad Hussein, Tianrui Li, Chubato Wondaferaw Yohannese, Kamal Bashir

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An Efficient and Robust Frequency Estimator Dealing With Short-Observation Under-Sampled Waveforms by Xiangdong Huang, Mengkai Yang, Mingzhuo Liu, Lin Yang

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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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Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension by Zhong Chen, Shuhui Cai, Xue Cao, Di Guo, Xiaobo Qu

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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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An Imbalanced-Data Processing Algorithm for the Prediction of Heart Attack in Stroke Patients by Meng Wang, Xinghua Yao, Yixiang Chen

Subjects: “…Undersampling…”
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Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models by Mohamed S. Kraiem, Fernando Sánchez-Hernández, María N. Moreno-García

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MPSUBoost: A Modified Particle Stacking Undersampling Boosting Method by Sang-Jin Kim, Dong-Joon Lim

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SNR Degradation in Undersampled Phase Measurement Systems by David Salido-Monzú, Francisco J. Meca-Meca, Ernesto Martín-Gorostiza, José L. Lázaro-Galilea

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Influence of Preprocessing Methods of Automated Milking Systems Data on Prediction of Mastitis with Machine Learning Models by Olivier Kashongwe, Tina Kabelitz, Christian Ammon, Lukas Minogue, Markus Doherr, Pablo Silva Boloña, Thomas Amon, Barbara Amon

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