Automatic Acne Severity Grading with a Small and Imbalanced Data Set of Low-Resolution Images. [PDF]
Dermatol Ther (Heidelb)Bernhard R +5 more
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Denoising Diffusion Implicit Model Combined with TransNet for Rolling Bearing Fault Diagnosis Under Imbalanced Data. [PDF]
Sensors (Basel)Wang C +6 more
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Imbalanced Data Learning Approaches Review
International Journal of Data Mining & Knowledge Management Process, 2013 Mohamed Bekkar, Taklit Akrouf Alitouche
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Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis. [PDF]
Cancers (Basel)Gurcan F, Soylu A.
europepmc +1 more source
A cluster-based SMOTE both-sampling (CSBBoost) ensemble algorithm for classifying imbalanced data. [PDF]
Sci RepSalehi AR, Khedmati M.
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An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. [PDF]
PLoS OneRoy P, Srijon FMS, Bhowmik P.
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Advancing accuracy in breath testing for lung cancer: strategies for improving diagnostic precision in imbalanced data. [PDF]
Respir ResChen KC, Kuo SW, Shie RH, Yang HY.
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A cost-sensitive deep neural network-based prediction model for the mortality in acute myocardial infarction patients with hypertension on imbalanced data. [PDF]
Front Cardiovasc MedZheng H, Sherazi SWA, Lee JY.
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Enhancing deep learning classification performance of tongue lesions in imbalanced data: mosaic-based soft labeling with curriculum learning. [PDF]
BMC Oral HealthLee SJ +7 more
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An ensemble learning method with GAN-based sampling and consistency check for anomaly detection of imbalanced data streams with concept drift. [PDF]
PLoS OneLiu Y, Wang S, Sui H, Zhu L.
europepmc +1 more source