Bootstrap and Jackknife Resampling Methods in Survival Analysis of Patients with Thalassemia Major by R Ali Akbari Khoei, E Bakhshi, A Azarkeivan, A Biglarian

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Robust Bootstrap by Conceição Amado, Ana M. Bianco, Graciela Boente, Ana M. Pires

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Block Bootstrap Prediction Intervals for GARCH Processes by Beste Hamiye Beyaztas, Ufuk Beyaztas

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Detection of Significant Groups in Hierarchical Clustering by Resampling by Paola Sebastiani, Thomas T Perls

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A Comparison of Forecasting Mortality Models Using Resampling Methods by David Atance, Ana Debón, Eliseo Navarro

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Asymptotic Results for the Estimation of the Quadratic Score of a Clustering by Luca Coraggio, Pietro Coretto

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Validation of machine learning ridge regression models using Monte Carlo, bootstrap, and variations in cross-validation by Nakatsu Robbie T.

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LIMCR: Less-Informative Majorities Cleaning Rule Based on Naïve Bayes for Imbalance Learning in Software Defect Prediction by Yumei Wu, Jingxiu Yao, Shuo Chang, Bin Liu

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Mixed Effects Models for Resampled Network Statistics Improves Statistical Power to Find Differences in Multi-Subject Functional Connectivity by Manjari eNarayan, Genevera I Allen, Genevera I Allen, Genevera I Allen, Genevera I Allen

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Predicting defects in imbalanced data using resampling methods: an empirical investigation by Ruchika Malhotra, Juhi Jain

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The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks by Nia Mauliza, Aisha Shakila Iedwan, Yoga Pristyanto, Anggit Dwi Hartanto, Arif Nur Rohman

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Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling by Guan-Yuan Wang

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Comparing Different Resampling Methods in Predicting Students’ Performance Using Machine Learning Techniques by Ramin Ghorbani, Rouzbeh Ghousi

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Combination of Feature Selection and Resampling Methods to Predict Preterm Birth Based on Electrohysterographic Signals from Imbalance Data by Félix Nieto-del-Amor, Gema Prats-Boluda, Javier Garcia-Casado, Alba Diaz-Martinez, Vicente Jose Diago-Almela, Rogelio Monfort-Ortiz, Dongmei Hao, Yiyao Ye-Lin

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Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania by Tarimo CS, Bhuyan SS, Li Q, Ren W, Mahande MJ, Wu J

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Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification by Konstantina-Vasiliki Tompra, George Papageorgiou, Christos Tjortjis

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Cost-Sensitive Models to Predict Risk of Cardiovascular Events in Patients with Chronic Heart Failure by Maria Carmela Groccia, Rosita Guido, Domenico Conforti, Corrado Pelaia, Giuseppe Armentaro, Alfredo Francesco Toscani, Sofia Miceli, Elena Succurro, Marta Letizia Hribal, Angela Sciacqua

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Prediction of Students’ Academic Performance Based on Courses’ Grades Using Deep Neural Networks by Aya Nabil, Mohammed Seyam, Ahmed Abou-Elfetouh

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Effect of a resampling method on the effectiveness of multi-layer neural network models in PV power forecasting by Abderrahman Bensalem, Toual Belgacem, Abdellah Kouzou, Zakaria Belboul

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Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction by Xiaojie Huang, Jiajia Chen, Peineng Liu

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