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Keyword

random oversampling

Description: A class-imbalance technique that randomly duplicates observations from underrepresented classes in a dataset to balance its class distribution.
OpenAlex ID: keywords/random-oversampling
A study of the behavior of several methods for balancing machine learning training data
2004 · Gustavo E. A. P. A. Batista, Ronaldo C. Prati, et al. · ACM SIGKDD Explorations Newsletter · 4,207
A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
2023 · Azal Ahmad Khan, Omkar Chaudhari, et al. · Expert Systems with Applications · 536
An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping
2015 · Brandon Heung, Hung Chak Ho, et al. · Geoderma · 531
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
2022 · Ruben van den Goorbergh, Maarten van Smeden, et al. · Journal of the American Medical Informatics Association · 365
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Foundations of data imbalance and solutions for a data democracy
2020 · Ajay Kulkarni, Deri Chong, et al. · Elsevier eBooks · 354
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Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
2024 · Md. Alamin Talukder, Md. Manowarul Islam, et al. · Journal Of Big Data · 302
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Addressing imbalance in multilabel classification: Measures and random resampling algorithms
2015 · Francisco Charte, Antonio J. Rivera, et al. · Neurocomputing · 288
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
2020 · Narinder Singh Punn, Sonali Agarwal · Applied Intelligence · 217
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The Effects of Over and Under Sampling on Fault-prone Module Detection
2007 · Yasutaka Kamei, Akito Monden, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 153
Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation
2020 · Premanand Tiwari, Kathryn L. Colborn, et al. · JAMA Network Open · 136
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Pre-processing approaches for imbalanced distributions in regression
2019 · Paula Branco, Luis Torgo, et al. · Neurocomputing · 134
Addressing the class imbalance problem in Twitter spam detection using ensemble learning
2016 · Shigang Liu, Yu Wang, et al. · Computers & Security · 133
ROSEFW-RF: The winner algorithm for the ECBDL’14 big data competition: An extremely imbalanced big data bioinformatics problem
2015 · Isaac Triguero, Sara del Río, et al. · Knowledge-Based Systems · 127
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Medicare fraud detection using neural networks
2019 · Justin M. Johnson, Taghi M. Khoshgoftaar · Journal Of Big Data · 126
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Stroke Prediction with Machine Learning Methods among Older Chinese
2020 · Yafei Wu, Ya Fang · International Journal of Environmental Research and Public Health · 124
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Efficient resampling methods for training support vector machines with imbalanced datasets
2010 · Rukshan Batuwita, Vasile Palade · 2022 International Joint Conference on Neural Networks (IJCNN) · 123
A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
2022 · Nitish Biswas, Khandaker Mohammad Mohi Uddin, et al. · Healthcare Analytics · 117
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PacketCGAN: Exploratory Study of Class Imbalance for Encrypted Traffic Classification Using CGAN
2020 · Pan Wang, Shuhang Li, et al. · International Conference on Communications · 117
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Identifying Collapsed Buildings Using Post-Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake
2018 · Min Ji, Lanfa Liu, et al. · Remote Sensing · 106
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A novel SMOTE-based resampling technique trough noise detection and the boosting procedure
2022 · Fatih Sağlam, Mehmet Ali Cengiz · Expert Systems with Applications · 102
Feature fusion for imbalanced ECG data analysis
2017 · Wei Lu, Honghui Hou, et al. · Biomedical Signal Processing and Control · 94
Overlapping, Rare Examples and Class Decomposition in Learning Classifiers from Imbalanced Data
2012 · Jerzy Stefanowski · Smart innovation, systems and technologies · 94
Author Index
2007 · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 91
Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
2024 · Cynthia Yang, Egill A. Fridgeirsson, et al. · Journal Of Big Data · 88
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Personality Classification from Online Text using Machine Learning Approach
2020 · Alam Sher Khan, Hussain Ahmad, et al. · International Journal of Advanced Computer Science and Applications · 84
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Works count: 1,212
Citation count: 15,730
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