Robust Thresholding Strategies for Highly Imbalanced and Noisy Data

Justin M. Johnson, Taghi M. Khoshgoftaar. Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. In M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin, editors, 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021. pages 1182-1188, IEEE, 2021. [doi]

Abstract

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