An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

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Choosing the Right Metrics: A Study of Performance Measurement for Binary Classification in Imbalanced and Big Data by Mary Anne Walauskis, Taghi M. Khoshgoftaar

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SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

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Evaluating techniques from low-shot learning on traditional imbalanced classification tasks by Preston Billion-Polak, Taghi M. Khoshgoftaar

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A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

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A Survey on Statistical and ML-Based Demand Forecasting Methods for Spare Parts in Aviation by Chelsea M. Zuvieta, Joffrey L. Leevy, Taghi M. Khoshgoftaar

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Unsupervised feature selection and class labeling for credit card fraud by Robert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar

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A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights by Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar

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Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning by Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard

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